Items where Division is "Department of Computer Science"

Reading Faculties, Schools and Departments (1233)
- Science (1233)
  - School of Mathematical, Physical and Computational Sciences (1233)
    - Department of Computer Science (1233)

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Number of items at this level: 1233.

Article

Adams, A. A., Murata, K., Orito, Y. and Parslow, P. (2011) Emerging social norms in the UK and Japan on privacy and revelation in SNS. IRIE: the International Review of Information Ethics, 16. pp. 20-26. ISSN 1614-1687

Adams, A. A. and Ferryman, J. (2013) The future of video analytics for surveillance and its ethical implications. Security Journal. pp. 1-18. ISSN 1743-4645 doi: https://doi.org/10.1057/sj.2012.48

Adams, S. V., Ford, R. W., Hambley, M., Hobson, J.M., Kavčič, I., Maynard, C. M., Melvin, T., Müller, E. H., Porter, A. R., Rezny, M., Shipway, B. J. and Wong, W. (2019) LFRic: meeting the challenges of scalability and performance portability in weather and climate models. Journal of Parallel and Distributed Computing, 132. pp. 383-396. ISSN 0743-7315 doi: https://doi.org/10.1016/j.jpdc.2019.02.007

Adedoyin-Olowe, M., Gaber, M. M. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2013) TRCM: a methodology for temporal analysis of evolving concepts in Twitter. Lecture Notes in Computer Science, 7895. pp. 135-145. ISSN 0302-9743 doi: https://doi.org/10.1007/978-3-642-38610-7_13 (Proceedings, Part II. 12th International Conference on Artificial Intelligence and Soft Computing)

Adedoyin-Olowe, M., Gaber, M. M. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2014) A survey of data mining techniques for social media analysis. Journal of Data Mining & Digital Humanities, 2014. ISSN 2416-5999

Adedoyin-Olowe, M., Gaber, M. M., Dancausa, C., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gomes, J. B. (2016) A rule dynamics approach to event detection in Twitter with its application to sports and politics. Expert Systems with Applications, 55. pp. 351-360. ISSN 0957-4174 doi: https://doi.org/10.1016/j.eswa.2016.02.028

Adetoye, A. O. and Badii, A. (2009) A policy model for secure information flow. Lecture Notes in Computer Science, 5511. pp. 1-17. ISSN 0302-9743 doi: https://doi.org/10.1007/978-3-642-03459-6

Aitken, D.L.P., Bishop, J.M., Mitchell, R. J. and Pepper, S.E. (1989) Pattern separation in digital learning nets. Electronics Letters, 25 (11). pp. 685-686. ISSN 0013-5194 doi: https://doi.org/10.1049/el:19890463

Al Ghamdi, S. and Di Fatta, G. (2019) Efficient clustering techniques on Hadoop and Spark. International Journal of Big Data Intelligence, 6 (3/4). pp. 269-290. ISSN 2053-1389 doi: https://doi.org/10.1504/IJBDI.2019.10018592

Al-Azawei, A. and Badii, A. (2014) State of the art of learning styles-based adaptive educational hypermedia systems (Ls-Baehss). International Journal of Computer Science & Information Technology, 6 (3). pp. 1-19. ISSN 0975-3826 doi: https://doi.org/10.5121/ijcsit.2014.6301

Al-Azawei, A., Parslow, P. and Lundqvist, K. (2016) Barriers and opportunities of e-learning implementation in Iraq: a case of public universities. The International Review of Research in Open and Distributed Learning, 17 (5). pp. 126-146. ISSN 1492-3831 doi: https://doi.org/10.19173/irrodl.v17i5.2501

Al-Azawei, A., Parslow, P. and Lundqvist, K. (2015) A psychometric analysis of reliability and validity of the index of learning styles (ILS). International Journal of Psychological Studies, 7 (3). pp. 46-57. ISSN 1918-722X doi: https://doi.org/10.5539/ijps.v7n3p46

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Baker, T., Al-Libawy, H., Maamar, Z., Aloqaily, M. and Jararweh, Y. (2019) Improving fog computing performance via Fog-2-Fog collaboration. Future Generation Computer Systems, 100. pp. 266-280. ISSN 0167-739X doi: https://doi.org/10.1016/j.future.2019.05.015

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Baker, T., Asim, M., Guo, Z., Ranjan, R., Longo, A., Puthal, D. and Taylor, M. (2020) COMITMENT: a fog computing trust management approach. Journal of Parallel and Distributed Computing, 137. pp. 1-16. ISSN 0743-7315 doi: https://doi.org/10.1016/j.jpdc.2019.10.006

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Baker, T., Chalmers, C., Asim, M., Kolivand, H., Fahim, M. and Waraich, A. (2019) Remote health monitoring of elderly through wearable sensors. Multimedia Tools and Applications, 78 (17). pp. 24681-24706. ISSN 1573-7721 doi: https://doi.org/10.1007/s11042-018-7134-7

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Kolivand, H., Baker, T., Tully, D. and Waraich, A. (2019) Smart hospital emergency system via mobile-based requesting services. Multimedia Tools and Applications, 78 (14). pp. 20087-20111. ISSN 1573-7721 doi: https://doi.org/10.1007/s11042-019-7274-4

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Otoum, S., Baker, T., Asim, M., Maamar, Z., Aloqaily, M., Taylor, M. and Randles, M. (2021) Intelligent control and security of fog resources in healthcare systems via a cognitive fog model. ACM Transactions on Internet Technology, 21 (3). pp. 1-23. ISSN 1533-5399 doi: https://doi.org/10.1145/3382770

Aljaidi, M., Aslam, N., Kaiwartya, O., Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X, Sadiq, A. S., Kumar, S. and Alsarhan, A. (2024) QoE-based assignment of EVs to charging stations in metropolitan environments. IEEE Transactions on Intelligent Vehicles. ISSN 2379-8904 doi: https://doi.org/10.1109/TIV.2024.3412372

Almutairi, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2021) ReG-Rules: an explainable rule-based ensemble learner for classification. IEEE Access, 9. pp. 52015-52035. ISSN 2169-3536 doi: https://doi.org/10.1109/ACCESS.2021.3062763

Alowayr, A. and Badii, A. (2014) Review of monitoring tools for e-learning platforms. International Journal of Computer Science & Information Technology, 6 (3). pp. 79-86. ISSN 0975-3826 doi: https://doi.org/10.5121/ijcsit.2014.6306

Alsaffar, E., Sun, L. and Kabeil, M. (2010) Impact of e-procurement systems on UAE government services. Systemics and Informatics World Network (SIWN), 8. pp. 102-107. ISSN 2044-7272

Alsaffar, E., Sun, L. and Kabeil, M.M. (2009) Effective e-procurement systems to support UAE government service provision. International Transactions on Systems Science and Applications. ISSN 1751-1461

Alsultan, A., Warwick, K. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2016) Free-text keystroke dynamics authentication for Arabic language. IET Biometrics, 5 (3). pp. 164-169. ISSN 2047-4938 doi: https://doi.org/10.1049/iet-bmt.2015.0101

Alsultan, A., Warwick, K. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2018) Improving the performance of free-text keystroke dynamics authentication by fusion. Applied Soft Computing, 70 (9). pp. 1024-1033. ISSN 1568-4946 doi: https://doi.org/10.1016/j.asoc.2017.11.018

Alsultan, A., Warwick, K. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2017) Non-conventional keystroke dynamics for user authentication. Pattern Recognition Letters, 89 (1). pp. 53-59. ISSN 0167-8655 doi: https://doi.org/10.1016/j.patrec.2017.02.010

Alzubi, S., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gaber, M. M. (2021) Towards intrusion detection of previously unknown network attacks. Communications of the ECMS, 35 (1). pp. 35-41. ISSN 2522-2414 doi: https://doi.org/10.7148/2021-0035

Amaradio, M. N., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Jansen, G., Gulisano, M., Costanza, J. and Nicosia, G. (2022) Pareto optimal metabolic engineering for the growth-coupled overproduction of sustainable chemicals. Biotechnology and Bioengineering, 119 (7). pp. 1890-1902. ISSN 0006-3592 doi: https://doi.org/10.1002/bit.28103

Anderson, J. A. D. W. (2019) Foundations of transmathematics. Transmathematica. ISSN 2632-9212 doi: https://doi.org/10.36285/tm.v0i0.23

Anderson, J. A. D. W. (1997) Representing geometrical knowledge. Philsophical Transactions of the Royal Society B, 352 (1358). pp. 1129-1139. ISSN 1471-2970 doi: https://doi.org/10.1098/rstb.1997.0096

Anderson, J. A. D. W. (1994) The programming language standards scene, ten years on paper 19: Pop. Computer Standards & Interfaces, 16 (5-6). pp. 547-553. ISSN 0920-5489 doi: https://doi.org/10.1016/0920-5489(94)90039-6

Anderson, J. A. D. W., Baker, K.D. and Sullivan, G.D. (1986) ‘Model’: a POPLOG package to support model-based vision. Image and Vision Computing, 4 (2). pp. 115-119. ISSN 0262-8856 doi: https://doi.org/10.1016/0262-8856(86)90030-2

Anderson, J.A.D.W. (2005) Perspex Machine IV: Spatial Properties of Computation. AISB Quarterly (121). p. 7.

Ashlam, A. A., Badii, A. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2022) WebAppShield: an approach exploiting machine learning to detect SQLi attacks in an application layer in run-time. International Journal of Computer and Information Engineering, 16 (8). pp. 294-302. ISSN 1307-6892 doi: https://doi.org/10.5281/zenodo.6983905

Ayers, D. ORCID: https://orcid.org/0000-0002-5667-8174, Lau, J., Amezcua, J. ORCID: https://orcid.org/0000-0002-4952-8354, Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2023) Supervised machine learning to estimate instabilities in chaotic systems: estimation of local Lyapunov exponents. Quarterly Journal of the Royal Meteorological Society, 149 (753). pp. 1236-1262. ISSN 1477-870X doi: https://doi.org/10.1002/qj.4450

Badii, A., Etxeberria, I., Huijnen, C., Maseda, M., Dittenberger, S., Hochgatterer, A., Thiemert, D. and Rigaud, A.-S. (2009) CompanionAble- graceful integration of mobile robot companion with a smart home environment. Gerontechnology, 8 (3). p. 185. doi: https://doi.org/10.4017/gt.2009.08.03.008.00

Badii, A., Etxeberria, I., Huijnen, C., Maseda, M., Dittenberger, S., Hochgatterer, A., Thiemert, D. and Rigaud, A.-S. (2009) CompanionAble- mobile robot companion and smart home system for people with mild cognitive impairment. Journal of Nutrition, Health and Aging, 13 (Supplement). S113. doi: https://doi.org/10.1007/s12603-009-0093-y

Badii, A., Khan, A. and Fuschi, D. (2009) One’s own soundtrack: music affectivisation. CALLAS Newsletter, 2 (2). pp. 3-7.

Badii, A. and Khan, W. (2019) Pathological gait abnormality detection and segmentation by processing the hip joints motion data to support mobile gait rehabilitation. Research in Medical & Engineering Sciences, 7 (3). pp. 754-762. ISSN 2576-8816

Badii, A. and Thiemert, D. (2010) A framework towards a multi-modal fingerprinting scheme for multimedia assets. International Journal of Business Information Systems, 6 (1). pp. 133-149. doi: https://doi.org/10.1504/..034009

Badii, A., Al-Obaidi, A., Einig, M. and Ducournau, A. (2013) Holistic privacy impact assessment framework for video privacy filtering technologies. Signal & Image Processing: An International Journal, 4 (6). pp. 13-32. ISSN 2229 - 3922 doi: https://doi.org/10.5121/SIPIJ.2013.4602

Badii, A., Khan, A., Raval, R., Oudi, H., Ayora, R., Khan, W., Jaidi, A. and Viswanathan, N. (2014) Situation assessment through multi-modal sensing of dynamic environments to support cognitive robot control. Factas Universitatis: Mechanical Engineering, 12 (3). pp. 251-260. ISSN 2335-0164

Badii, A., Lallah, C., Kolomiyets, O., Zhu, M. and Crouch, M. (2008) KAIFIA: Knowledge assisted intelligent framework for information access. Lecture Notes in Artificial Intelligence, 4999. pp. 226-236. ISSN 0302-9743 978-3-540-70873-5

Badii, A., Lallah, C., Zhu, M. and Crouch, M. (2009) Semi-automatic knowledge extraction, representation and context-sensitive intelligent retrieval of video content using collateral context modelling with scalable ontological networks. Signal Processing-Image Communication, 24 (9). pp. 759-773. ISSN 0923-5965 doi: https://doi.org/10.1016/j.image.2009.05.003

Balaji, V., Taylor, K. E., Juckes, M., Lawrence, B. N. ORCID: https://orcid.org/0000-0001-9262-7860, Durack, P. J., Lautenschlager, M., Blanton, C., Cinquini, L., Denvil, S., Elkington, M., Guiglielmo, F., Guilyardi, E. ORCID: https://orcid.org/0000-0002-2255-8625, Hassell, D. ORCID: https://orcid.org/0000-0001-5106-7502, Kharin, S., Kindermann, S., Nikonov, S., Radhakrishnan, A., Stockhause, M., Weigel, T. and Williams, D. (2018) Requirements for a global data infrastructure in support of CMIP6. Geoscientific Model Development, 11 (9). pp. 3659-3680. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-11-3659-2018

Bamford, C. D. and Mitchell, R. J. (2011) Modular non-computational-connectionist-hybrid neural network approach to robotic systems. Paladyn. Journal of Behavioral Robotics, 2 (3). pp. 126-133. ISSN 2081-4836 doi: https://doi.org/10.2478/s13230-012-0003-6 (special issue: Cybernetic Approaches to Robotics)

Bartels, M. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2007) Pattern recognition in photogrammetry and remote sensing: PRRS 2006 in conjunction with ICPR 2006. The Photogrammetric Record, 22 (117). pp. 97-99. ISSN 1477-9730 doi: https://doi.org/10.1111/j.1477-9730.2007.00420.x

Bartels, M. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2010) Threshold-free object and ground point separation in LIDAR data. Pattern Recognition Letters, 31 (10). pp. 1089-1099. ISSN 0167-8655 doi: https://doi.org/10.1016/j.patrec.2010.03.007

Becker, R., Betzold, K., Boness, K. D., Collins, R., Holt, D.C. and Simkins, J. (1986) The modelling of electrical current NDT methods and its application to weld testing. British Journal of Non-Destructive Testing, 28 (6). pp. 361-370. ISSN 0007-1137

Becker, R., Betzold, K., Boness, K. D., Collins, R.C. and Holt, C.C. (1986) The modelling of electrical current NDT methods and its application to weld testing. British Journal of Non-Destructive Testing, 28 (5). pp. 286-294. ISSN 0007-1137

Berrar, D., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Silva, C., Rui Rodrigues, J., Brito, R. M. M. and Dubitzky, W. (2005) Towards data warehousing and mining of protein unfolding simulation data. Journal of Clinical Monitoring and Computing, 19 (4-5). pp. 307-317. ISSN 1573-2614 doi: https://doi.org/10.1007/s10877-005-0676-z

Bielik, M., Schneider, S., Kuliga, S., Griego, D., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, König, R., Schmitt, G. and Donath, D. (2019) Examining trade-offs between social, psychological, and energy potential of urban form. ISPRS International Journal of Geo-Information, 8 (2). 52. ISSN 2220-9964 doi: https://doi.org/10.3390/ijgi8020052

Billings, S. A. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (1998) Dual-orthogonal radial basis function networks for nonlinear time series prediction. Neural Networks, 11 (3). pp. 479-493. ISSN 0893-6080 doi: https://doi.org/10.1016/S0893-6080(97)00132-9

Bishop, J. M. and Mitchell, R. J. (1994) Auto-associative memory using n-tuple techniques. Intelligent Systems Engineering, 3 (4). pp. 222-230. ISSN 0963-9640

Bonacin, R., Baranauskas, M.C.C., Liu, K. and Sun, L. (2009) Norms-based simulation for personalised service provision. Semiotica, 2009 (175). 403–428. ISSN 1613-3692 doi: https://doi.org/10.1515/semi.2009.055

Boness, K., Finkelstein, A. and Harrison, R. (2011) A method for assessing confidence in requirements analysis. Information and Software Technology, 53 (10). pp. 1084-1096. ISSN 0950-5849 doi: https://doi.org/10.1016/j.infsof.2011.05.003

Boness, K. D. and Harrison, R. (2010) Goal sketching from a concise business case. The International Journal on Advances in Software , 3 (1-2). pp. 90-99. ISSN 1942-2628

Boness, K. D. and Midgley, D. (1977) Dipole modes on open periodic structures — an experimental study. Interrnational Journal of Electronics, 42 (3). pp. 273-286. ISSN 1362-3060 doi: https://doi.org/10.1080/00207217708900640

Boness, K. D., Finkelstein, A. and Harrison, R. (2008) A lightweight technique for assessing risks in requirements analysis. IET Software, 2 (1). pp. 46-57. doi: https://doi.org/10.1049/iet-sen:20070068

Boness, K. D., Harrison, R. and Liu, K. (2008) Goal sketching: an agile approach to clarifying requirements. The International Journal on Advances in Software, 1 (1). pp. 1-13. ISSN 1942-2628

Boukadi, K., Faci, N., Maamar, Z., Ugljanin, E., Sellami, M., Baker, T. and Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414 (2019) Norm-based and commitment-driven agentification of the Internet of Things. Internet of Things, 6. 100042. ISSN 2542-6605 doi: https://doi.org/10.1016/j.iot.2019.02.002

Bowen, J. W., Owen, T., Jackson, J. B., Walker, G. C., Roberts, J. F., Martos-Levif, D., Lascourrèges, P., Giovannacci, D. and Detalle, V. (2015) Cyclododecane as a contrast improving substance for the terahertz imaging of artworks. IEEE Transactions on Terahertz Science and Technology, 5 (6). pp. 1005-1011. ISSN 2156-342X doi: https://doi.org/10.1109/TTHZ.2015.2476666

Boyle, J. ORCID: https://orcid.org/0000-0002-5785-8046, Nawaz, T. and Ferryman, J. ORCID: https://orcid.org/0000-0003-2194-4871 (2022) Using Deep Siamese networks for trajectory analysis to extract motion patterns in videos. Electronics Letters. ISSN 0013-5194 doi: https://doi.org/10.1049/ell2.12460

Bron, E. E., Smits, M., van der Flier, W. M., Vrenken, H., Barkhof, F., Scheltens, P., Papma, J. M., Steketee, R. M.E., Orellana, C. M., Meijboom, R., Pinto, M., Meireles, J. R., Garrett, C., Bastos-Leite, A. J., Abdulkadir, A., Ronneberger, O., Amoroso, N., Bellotti, R., Cárdenas-Peña, D., Álvarez-Meza, A. M., Dolph, C. V., Iftekharuddin, K. M., Eskildsen, S. F., Coupé, P., Fonov, V. S., Franke, K., Gaser, C., Ledig, C., Guerrero, R., Tong, T., Gray, K. R., Moradi, E., Tohka, J., Routier, A., Durrleman, S., Sarica, A., Di Fatta, G., Sensi, F., Chincarini, A., Smith, G. M., Stoyanov, Z. V., Sørensen, L., Nielsen, M., Tangaro, S., Inglese, P., Wachinger, C., Reuter, M., van Swieten, J. C., Niessen, W. J. and Klein, S. (2015) Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. NeuroImage, 111. pp. 562-579. ISSN 1053-8119 doi: https://doi.org/10.1016/j.neuroimage.2015.01.048

Brown, K. L., Huang, Q., Espuny-Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Taylor, J. A., Wray, J., van Doorn, C., Stoica, S., Pagel, C., Franklin, R. C. G. and Crowe, S. (2024) Evaluating long‐term outcomes of children undergoing surgical treatment for congenital heart disease for national audit in England and Wales. Journal of the American Heart Association, 13 (21). ISSN 2047-9980 doi: https://doi.org/10.1161/JAHA.124.035166

Brown, K. L., Huang, Q. ORCID: https://orcid.org/0000-0003-4456-2999, Hadjicosta, E., Seale, A. N., Tsang, V., Anderson, D., Barron, D., Bellsham-Revell, H., Pagel, C., Crowe, S., Espuny Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Franklin, R. and Ridout, D. (2023) Long-term survival and center volume for functionally single-ventricle congenital heart disease in England and Wales. The Journal of Thoracic and Cardiovascular Surgery, 166 (2). 306-316.e3. ISSN 0022-5223 doi: https://doi.org/10.1016/j.jtcvs.2022.11.018

Buonsenso, D., Munblit, D., Espuny Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Pata, D., McFarland, S. and Simpson, F. K. (2022) Clinical characteristics, activity levels and mental health problems in children with long coronavirus disease: a survey of 510 children. Future Microbiology, 17 (8). pp. 577-588. ISSN 1746-0921 doi: https://doi.org/10.2217/fmb-2021-0285

Burghouts, G. J., Schutte, K., ten Hove, R. J.-M., van den Broek, S. P., Baan, J., Rajadell, O., van Huis, J. R., van Rest, J., Hanckmann, P., Bouma, H., Sanroma, G., Evans, M. and Ferryman, J. (2014) Instantaneous threat detection based on a semantic representation of activities, zones and trajectories. Signal, Image and Video Processing, 8 (S1). pp. 191-200. ISSN 1863-1703 doi: https://doi.org/10.1007/s11760-014-0672-1

Byne, J.H.M. and Anderson, J. A. D. W. (1998) A CAD-based computer vision system. Image and Vision Computing, 16 (8). pp. 533-539. ISSN 0262-8856 doi: https://doi.org/10.1016/S0262-8856(98)00100-0

Camara, C., Subramaniyam, N. P., Warwick, K., Parkkonen, L., Aziz, T. and Pereda, E. (2019) Non-linear dynamical analysis of resting tremor for demand-driven deep brain stimulation. Sensors, 19 (11). 2507. ISSN 1424-8220 doi: https://doi.org/10.3390/s19112507

Cao, Y., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Zhao, H. and Li, N. (2012) An effective approach for land-cover classification from airborne lidar fused with co-registered data. International Journal of Remote Sensing, 33 (18). pp. 5927-5953. ISSN 0143-1161 doi: https://doi.org/10.1080/01431161.2012.676746

Cau, A., Hale, R., Dimitrov, J., Zedan, H., Moszkowski, B., Manjunathaiah, M. and Spivey, M. (2002) A compositional framework for hardware/software co-design. Design Automation for Embedded Systems, 6 (4). pp. 367-399. ISSN 1572-8080 doi: https://doi.org/10.1023/A:1016507527035

Chen, H., Gong, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2013) Online modeling with tunable RBF network. IEEE Transactions on Cybernetics, 43 (3). pp. 935-947. ISSN 2168-2267 doi: https://doi.org/10.1109/TSMCB.2012.2218804

Chen, H., Gong, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2016) A new adaptive multiple modelling approach for non-linear and non-stationary systems. International Journal of Systems Science, 47 (9). pp. 2100-2110. ISSN 0020-7721 doi: https://doi.org/10.1080/00207721.2014.973926

Chen, H., Gong, Y., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S. (2014) Adaptive nonlinear equalizer using a mixture of gaussians based on-line density estimator. IEEE Transactions on Vehicular Technology, 63 (9). pp. 4265-4276. ISSN 0018-9545 doi: https://doi.org/10.1109/TVT.2014.2313458

Chen, H., Gong, Y., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S. (2016) A fast adaptive tunable RBF network for nonstationary systems. IEEE Transactions on Cybernetics, 46 (12). pp. 2683-2692. ISSN 2168-2267 doi: https://doi.org/10.1109/TCYB.2015.2484378

Chen, L., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Ferryman, J. (2014) ReadingAct RGB-D action dataset and human action recognition from local features. Pattern Recognition Letters, 50. pp. 159-169. ISSN 0167-8655 doi: https://doi.org/10.1016/j.patrec.2013.09.004

Chen, L., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Ferryman, J. (2013) A survey of human motion analysis using depth imagery. Pattern Recognition Letters, 34 (15). pp. 1995-2006. ISSN 0167-8655 doi: https://doi.org/10.1016/j.patrec.2013.02.006

Chen, S., Harris, C. J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Luk, B. L. (2009) Nonlinear system identification using particle swarm optimisation tuned radial basis function models. International Journal of Bio-Inspired Computation, 1 (4). pp. 246-257. ISSN 1758-0374 doi: https://doi.org/10.1504/IJBIC.2009.024723

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2011) Grey-box radial basis function modelling. Neurocomputing, 74 (10). pp. 1564-1571. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2011.01.023

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2004) Kernel density construction using orthogonal forward regression. Lecture Notes in Computer Science, 3177. pp. 586-592. ISSN 0302-9743 3-540-22881-0

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2005) Orthogonal forward selection for constructing the radial basis function network with tunable nodes. Lecture Notes in Computer Science, 3644. pp. 777-786. ISSN 0302-9743

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2010) Particle swarm optimization aided orthogonal forward regression for unified data modeling. IEEE Transactions on Evolutionary Computation, 14 (4). pp. 477-499. ISSN 1089-778X doi: https://doi.org/10.1109/TEVC.2009.2035921

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2010) Probability density estimation with tunable kernels using orthogonal forward regression. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 40 (4). pp. 1101-1114. ISSN 1083-4419 doi: https://doi.org/10.1109/TSMCB.2009.2034732

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2010) Regression based D-optimality experimental design for sparse kernel density estimation. Neurocomputing, 73 (4-6). pp. 727-739. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2009.11.002

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2004) Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 34 (4). pp. 1708-1717. ISSN 1083-4419 doi: https://doi.org/10.1109/tsmcb.2004.828199

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2003) Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design. IEEE Transactions on Automatic Control, 48 (6). pp. 1029-1036. ISSN 0018-9286 doi: https://doi.org/10.1109/tac.2003.812790

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2003) Sparse multioutput radial basis function network construction using combined locally regularised orthogonal least square and D-optimality experimental design. IEE Proceedings-Control Theory and Applications, 150 (2). pp. 139-146. ISSN 1350-2379 doi: https://doi.org/10.1049/ip-cta:20030253

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2008) An orthogonal forward regression technique for sparse kernel density estimation. Neurocomputing, 71 (4-6). pp. 931-943. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2007.02.008

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J. and Harris, C.J. (2014) Complex-valued B-spline neural networks for modeling and inverting Hammerstein systems. IEEE Transactions on Neural Networks and Learning Systems, 25 (9). pp. 1673-1685. ISSN 2162-237X doi: https://doi.org/10.1109/TNNLS.2014.2298535

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gong, Y. and Harris, C. J. (2013) Digital predistorter design using B-Spline neural network and inverse of De Boor algorithm. IEEE Transactions on Circuits and Systems Part I: fundamental theory and applications, 60 (6). pp. 1584-1594. ISSN 1057-7122 doi: https://doi.org/10.1109/TCSI.2012.2226514

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J. and Hanzo, L. (2008) Fully complex-valued radial basis function networks: orthogonal least squares regression and classification. Neurocomputing, 71 (16-18). pp. 3421-3433. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2007.12.003

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J. and Sharkey, P. M. (2004) Sparse modeling using orthogonal forward regression with PRESS statistic and regularization. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 34 (2). pp. 898-911. ISSN 1083-4419 doi: https://doi.org/10.1109/tsmcb.2003.817107

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J. and Wang, X. X. (2005) Identification of nonlinear systems using generalized kernel models. IEEE Transactions on Control Systems Technology, 13 (3). pp. 401-411. ISSN 1063-6536 doi: https://doi.org/10.1109/tcst.2004.841652

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Khalaf, E. F., Alsaadi, F. E. and Harris, C. J. (2017) Comparative performance of complex-valued B-spline and polynomial models applied to iterative frequency-domain decision feedback equalization of Hammerstein channels. IEEE Transactions on Neural Networks and Learning Systems, 28 (12). pp. 2872-2884. ISSN 2162-237X doi: https://doi.org/10.1109/TNNLS.2016.2609001

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Khalaf, E. F., Morfeq, A., Alotaibi, N. D. and Harris, C. J. (2017) Single-carrier frequency-domain equalization with hybrid decision feedback equalizer for Hammerstein channels containing nonlinear transmit amplifier. IEEE Transactions on Wireless Communications, 16 (5). pp. 3341-3354. ISSN 1536-1276 doi: https://doi.org/10.1109/TWC.2017.2681083

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Khalaf, E., Morfeq, A. and Alotaibi, N. D. (2015) Adaptive B-spline neural network based nonlinear equalization for high-order QAM systems with nonlinear transmit high power amplifier. Digital Signal Processing, 40. pp. 238-249. ISSN 1051-2004 doi: https://doi.org/10.1016/j.dsp.2015.02.006

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Luk, B. L. and Harris, C. J. (2009) Construction of tunable radial basis function networks using orthogonal forward selection. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 39 (2). pp. 457-466. ISSN 1083-4419 doi: https://doi.org/10.1109/tsmcb.2008.2006688

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Luk, B. L. and Harris, C. J. (2009) Orthogonal-least-squares regression: A unified approach for data modelling. Neurocomputing, 72 (10-12). pp. 2670-2681. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2008.10.002

Chen, S., Wang, X. X., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2006) Kernel classifier construction using orthogonal forward selection and boosting with Fisher ratio class separability measure. IEEE Transactions on Neural Networks, 17 (6). pp. 1652-1656. ISSN 1045-9227 doi: https://doi.org/10.1109/tnn.2006.881487

Delgrossi, L., Di Fatta, G., Ferrari, D. and Lo Re, G. (1999) Interference and communications among active network applications. Lecture Notes in Computer Science (1653). pp. 97-108. ISSN 0302-9743

Di Fatta, G. and Lo Re, G. (1998) Multicast routing tree optimisation. Investigacao Operational Journal, 18. pp. 155-165.

Di Fatta, G. and Berthold, M. R. (2005) High performance subgraph mining in molecular compounds. Lecture Notes in Computer Science, 3726. pp. 866-877. ISSN 0302-9743 doi: https://doi.org/10.1007/11557654_97

Di Fatta, G. and Berthold, M.R. (2006) Decentralized load balancing for highly irregular search problems. Microprocessors and Microsystems , 31 (4). pp. 220-226. ISSN 0141-9331 doi: https://doi.org/10.1016/j.micpro.2007.01.004

Di Fatta, G. and Berthold, M.R. (2006) Dynamic load balancing for the distributed mining of molecular structures. IEEE Transactions on Parallel and Distributed Systems, 17 (8). pp. 773-785. ISSN 1045-9219 doi: https://doi.org/10.1109/TPDS.2006.101

Di Fatta, G. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2013) Skilloscopy: Bayesian modeling of decision makers' skill. Systems, Man, and Cybernetics: Systems, IEEE Transactions on, 43 (6). pp. 1290-1301. ISSN 0018-9472 doi: https://doi.org/10.1109/TSMC.2013.2252893

Di Fatta, G. and Lo Re, G. (1999) Efficient tree construction for the multicast problem. Journal of the Brazilian Telecommunications : Revista da Sociedade Brasileira de Telecomunicações, 14 (1). pp. 22-29. ISSN 0102-986X

Di Fatta, G., Blasa, F., Cafiero, S. and Fortino, G. (2013) Fault tolerant decentralised K-Means clustering for asynchronous large-scale networks. Journal of Parallel and Distributed Computing, 73 (3). pp. 317-329. ISSN 07437315 doi: https://doi.org/10.1016/j.jpdc.2012.09.009

Di Fatta, G., Gaglio, S., Lo Presti, G., Lo Re, G. and Selvaggio, I. (2003) Distributed intelligent management of active networks. Lecture Notes in Computer Science, 2829/2003. pp. 312-323. ISSN 0302-9743 doi: https://doi.org/10.1007/978-3-540-39853-0_26

Di Fatta, G., Hoffmann, F., Lo Re, G. and Urso, A. (2003) A genetic algorithm for the design of a fuzzy controller for active queue management. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 33 (3). pp. 313-324. ISSN 1094-6977 doi: https://doi.org/10.1109/TSMCC.2003.818946

Di Fatta, G., Lo Re, G. and Urso, A. (2003) Parallel genetic algorithms for the tuning of a fuzzy AQM controller. Lecture Notes in Computer Science, 2003 (2667). pp. 417-426. ISSN 0302-9743 doi: https://doi.org/10.1007/3-540-44839-X_45

Di Fatta, G., Lo Re, G. and Urso, A. (2002) A fuzzy approach for the network congestion problem. Lecture Notes in Computer Science (2329). pp. 286-295. ISSN 0302-9743 doi: https://doi.org/10.1007/3-540-46043-8_28

Dolz, M. F., Kunkel, J., Chasapis, K. and Catalán, S. (2016) An analytical methodology to derive power models based on hardware and software metrics. Computer Science - Research and Development, 31 (4). pp. 165-174. ISSN 1865-2034 doi: https://doi.org/10.1007/s00450-015-0298-8

Dorobantu, D.-M., Espuny Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Kostolny, M., Brown, K. L., Franklin, R. C., Crowe, S., Pagel, C. and Stoica, S. C. (2023) Arterial switch for transposition of the great arteries: treatment timing, late outcomes, and risk factors. JACC: Advances, 2 (5). 100407. ISSN 2772-963X doi: https://doi.org/10.1016/j.jacadv.2023.100407

Dorobantu, D.-M., Huang, Q., Espuny Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Brown, K. L., Franklin, R. C., Pufulete, M., Lawlor, D. A., Crowe, S., Pagel, C. and Stoica, S. C. (2023) Hospital resource utilization in a national cohort of functionally single ventricle patients undergoing surgical treatment. JTCVS Open, 14. pp. 441-461. ISSN 2666-2736 doi: https://doi.org/10.1016/j.xjon.2023.03.014

Ellis, A.-L. and Ferryman, J. (2014) Biologically-inspired robust motion segmentation using mutual information. Computer Vision and Image Understanding, 122. 47 - 64. ISSN 1077-3142 doi: https://doi.org/10.1016/j.cviu.2014.01.009

English, K. M., Espuny Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Franklin, R. C., Crowe, S. and Pagel, C. (2024) Secundum atrial septal defect closure in adults in the UK. European Heart Journal - Quality of Care and Clinical Outcomes. qcae019. ISSN 2058-1742 doi: https://doi.org/10.1093/ehjqcco/qcae019

Espuny Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Franklin, R. C., Crowe, S., Brown, K. L., Swan, L., Pagel, C. and English, K. M. (2022) Transfer of congenital heart patients from paediatric to adult services in England. Heart, 108 (24). pp. 1964-1971. ISSN 1355-6037 doi: https://doi.org/10.1136/heartjnl-2022-321085

Espuny Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Hancock, R. and Morciano, M. (2021) Trends in survival of older care home residents in England: a 10-year multi-cohort study. Social Science & Medicine, 282. 113883. ISSN 1873-5347 doi: https://doi.org/10.1016/j.socscimed.2021.113883

Espuny Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Hancock, R., Hviid, M., Morciano, M. and Pudney, S. (2021) Market concentration, supply, quality and prices paid by local authorities in the English care home market. Health Economics, 30 (8). pp. 1886-1909. ISSN 1099-1050 doi: https://doi.org/10.1002/hec.4286

Espuny Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Pagel, C., Brown, K. L., Doidge, J. C., Feltbower, R. G., Franklin, R. C., Gonzalez-Izquierdo, A., Gould, D. W., Norman, L. J., Stickley, J., Taylor, J. A. and Crowe, S. (2022) Linkage of national congenital heart disease audit data to hospital, critical care and mortality national data sets to enable research focused on quality improvement. BMJ Open, 12 (5). e057343. ISSN 2044-6055 doi: https://doi.org/10.1136/bmjopen-2021-057343

Evans, M., Boyle, J. N. ORCID: https://orcid.org/0000-0002-5785-8046 and Ferryman, J. (2012) Vehicle classification using evolutionary forests. Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1:. pp. 387-393. ISSN 2184-4313 doi: https://doi.org/10.5220/0003763603870393 (ISBN 9789898425997)

Feng, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2021) Parameter tracking of time-varying Hammerstein-Wiener Systems. International Journal of Systems Science, 52 (16). pp. 3478-3492. ISSN 0020-7721 doi: https://doi.org/10.1080/00207721.2021.1931546

Feng, Z., Zhu, F., Wang, H., Hao, J., Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009, Zheng, W. and Qu, H. (2023) HoLens: a visual analytics design for higher-order movement modelling and visualization. Computational Visual Media. ISSN 2096-0662 doi: https://doi.org/10.1007/s41095-0xx-xxxx-x (In Press)

Ferryman, J. (2006) Editorial for PETS special issue - guest editorial. Image and Vision Computing, 24 (11). pp. 1163-1164. ISSN 0262-8856 doi: https://doi.org/10.1016/s0262-8856(06)00240-x

Ferryman, J. and Ellis, A.-L. (2014) Performance evaluation of crowd image analysis using the PETS2009 dataset. Pattern Recognition Letters, 44. pp. 3-15. ISSN 0167-8655 doi: https://doi.org/10.1016/j.patrec.2014.01.005

Ferryman, J., Hogg, D., Sochman, J., Behera, A., Rodriguez-Serrano, J. A., Worgan, S., Li, L., Leung, V., Evans, M., Cornic, P., Herbin, S., Schlenger, S. and Dose, M. (2013) Robust abandoned object detection integrating wide area visual surveillance and social context. Pattern Recognition Letters, 34 (7). pp. 789-798. ISSN 0167-8655 doi: https://doi.org/10.1016/j.patrec.2013.01.018

Ferryman, J. M., Maybank, S. J. and Worrall, A. D. (2000) Visual surveillance for moving vehicles. International Journal of Computer Vision, 37 (2). pp. 187-197. ISSN 1573-1405 doi: https://doi.org/10.1023/A:1008155721192

Ferryman, J. M., Worrall, A. D., Sullivan, G.D. and Baker, K. (1997) Visual surveillance using deformable models of vehicles. Robotics and Autonomous Systems, 19 (3-4). pp. 315-335. ISSN 0921-8890 doi: https://doi.org/10.1016/S0921-8890(97)83348-9

Fiannaca, A., Di Fatta, G., Gaglio, S., Rizzo, R. and Urso, A. M. (2009) A new linear initialization in SOM for biomolecular data. Lecture Notes in Computer Science, 2009 (5488). pp. 177-187. ISSN 1611-3349 doi: https://doi.org/10.1007/978-3-642-02504-4

Fiannaca, A., Di Fatta, G., Rizzo, R., Urso, A. and Gaglio, S. (2009) Clustering quality and topology preservation in fast learning SOMs. Neural Network World, 19 (5). pp. 625-639. ISSN 1210-0552

Fiannaca, A., Di Fatta, G., Rizzo, R., Urso, A. and Gaglio, S. (2013) Simulated annealing technique for fast learning of SOM networks. Neural Computing and Applications, 22 (5). 889-899 . ISSN 0941-0643 doi: https://doi.org/10.1007/s00521-011-0780-6

Fiannaca, A., La Rosa, M., Di Fatta, G., Gaglio, S., Rizzo, R. and Urso, A. (2014) The BioDICE Taverna plugin for clustering and visualization of biological data: a workflow for molecular compounds exploration. Journal of Cheminformatics, 6 (1). 24. ISSN 1758-2946 doi: https://doi.org/10.1186/1758-2946-6-24

Fieber, K. D., Davenport, I. J., Ferryman, J. M., Gurney, R. J., Becerra, V. M., Walker, J. P. and Hacker, J. M. (2016) CHP toolkit: case study of LAIe sensitivity to discontinuity of canopy cover in fruit plantations. IEEE Transactions on Geoscience and Remote Sensing, 54 (9). pp. 5071-5080. ISSN 0196-2892 doi: https://doi.org/10.1109/TGRS.2016.2550623

Fieber, K. D., Davenport, I. J., Tanase, M. A., Ferryman, J. M., Gurney, R. J., Becerra, V. M., Walker, J. P. and Hackerf, J. M. (2015) Validation of Canopy Height Profile methodology for small-footprint full-waveform airborne LiDAR data in a discontinuous canopy environment. ISPRS Journal of Photogrammetry and Remote Sensing, 104. pp. 144-157. ISSN 0924-2716 doi: https://doi.org/10.1016/j.isprsjprs.2015.03.001

Fieber, K. D., Davenport, I. J., Ferryman, J. M., Gurney, R. J., Walker, J. P. and Hacker, J. M. (2013) Analysis of full-waveform LiDAR data for classification of an orange orchard scene. ISPRS Journal of Photogrammetry and Remote Sensing, 82 (13). pp. 63-82. ISSN 0924-2716 doi: https://doi.org/10.1016/j.isprsjprs.2013.05.002

Fieber, K. D., Davenport, I. J., Tanase, M. A., Ferryman, J. M., Gurney, R. J., Walker, J. P. and Hacker, J. M. (2014) Effective LAI and CHP of a single tree from small-footprint full-waveform LiDAR. IEEE Geoscience and Remote Sensing Letters, 11 (9). 1634 -1638. ISSN 1545-598X doi: https://doi.org/10.1109/LGRS.2014.2303500

Fletcher, M.J., Mitchell, R. J. and Minchinton, P. R. (1990) Vidibus: a low-cost, modular bus system for real-time video processing. Electronics & Communications Engineering Journal, 2 (5). pp. 195-201. ISSN 0954-0695 doi: https://doi.org/10.1049/ecej:19900044

Fontenele, M. P., Sampaio, R. B., da Silva, A. I. B., Fernandes, J. H. C. and Sun, L. (2014) Performing knowledge requirements analysis for public organisations in a Virtual Learning Environment: a social network analysis approach. Journal of Information Technology & Software Engineering, 4 (2). 134. ISSN 2165-7866 doi: https://doi.org/10.4172/2165-7866.1000134

Fortino, G., Di Fatta, G., Pathan, M. and Vasilakos, A. V. (2014) Cloud-assisted body area networks: state-of-the-art and future challenges. Wireless Networks, 20 (7). pp. 1925-1938. ISSN 1022-0038 doi: https://doi.org/10.1007/s11276-014-0714-1

Fortino, G., Parisi, D., Pirrone, V. and Di Fatta, G. (2014) BodyCloud: a SaaS approach for community body sensor networks. Future Generation Computer Systems, 35. pp. 62-79. ISSN 0167-739X doi: https://doi.org/10.1016/j.future.2013.12.015

Fu, Y., Gao, J., Tien, D., Lin, Z. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2016) Tensor LRR and sparse coding-based subspace clustering. IEEE Transactions on Neural Networks and Learning Systems, 27 (10). pp. 2120-2133. ISSN 2162-237X doi: https://doi.org/10.1109/TNNLS.2016.2553155

Gaber, M. M., Gama, J., Krishnaswamy, S., Gomes, J. B. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2014) Data stream mining in ubiquitous environments: state-of-the-art and current directions. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 4 (2). pp. 116-138. ISSN 1942-4795 doi: https://doi.org/10.1002/widm.1115

Gafson, A. R., Savva, C., Thorne, T., David, M. J., Gomez-Romero, M., Lewis, M. R., Nicholas, R., Nicholson, J., Heslegrave, A., Zetterberg, H. and Matthews, P. M. (2019) Breaking the cycle: reversal of flux in the tricarboxylic acid cycle by dimethyl fumarate. Neurology: Neuroimmunology & Neuroinflammation, 6 (3). e562. ISSN 2332-7812 doi: https://doi.org/10.1212/NXI.0000000000000562

Gafson, A. R., Thorne, T., McKechnie, C. I. J., Jimenez, B., Nicholas, R. and Matthews, P. M. (2018) Lipoprotein markers associated with disability from multiple sclerosis. Scientific Reports, 8. 17026. ISSN 2045-2322 doi: https://doi.org/10.1038/s41598-018-35232-7

Galdi, C., Boyle, J. ORCID: https://orcid.org/0000-0002-5785-8046, Chen, L., Chiesa, V., Debiasi, L., Dugelay, J.-L., Ferryman, J., Grudzien, A., Kauba, C., Kirchgasser, S., Kowalski, M., Linortner, M., Maik, P., Michon, K., Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629, Prommegger, B., Sequeira, A., Szklarski, Ł. and Uhl, A. (2020) PROTECT: pervasive and useR fOcused biomeTrics bordEr projeCT. A Case Study. IET Biometrics. ISSN 2047-4946 doi: https://doi.org/10.1049/iet-bmt.2020.0033

Galea, D., Hodges, K. ORCID: https://orcid.org/0000-0003-0894-229X and Lawrence, B. N. ORCID: https://orcid.org/0000-0001-9262-7860 (2024) Investigating differences between Tropical cyclone detection systems. Artificial Intelligence for the Earth Systems, 3 (2). e220046. ISSN 2769-7525 doi: https://doi.org/10.1175/AIES-D-22-0046.1

Galea, D., Kunkel, J. and Lawrence, B. N. ORCID: https://orcid.org/0000-0001-9262-7860 (2023) TCDetect: a new method of detecting the presence of tropical cyclones using deep learning. Artificial Intelligence for the Earth Systems, 2 (3). ISSN 2769-7525 doi: https://doi.org/10.1175/aies-d-22-0045.1

Gao, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2014) Construction of neurofuzzy models for imbalanced data classification. IEEE Transactions on Fuzzy Systems, 22 (6). pp. 1472-1488. ISSN 1063-6706 doi: https://doi.org/10.1109/TFUZZ.2013.2296091

Gao, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2014) A unified neurofuzzy model for classification. International Journal of Systems Science, 45 (10). pp. 2158-2171. ISSN 0020-7721 doi: https://doi.org/10.1080/00207721.2013.763301

Gao, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2011) A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems. Neurocomputing, 74 (17). pp. 3456-3466. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2011.06.010

Gao, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Harris, C. J. and Khalaf, E. (2014) PDFOS: PDF estimation based over-sampling for imbalanced two-class problems. Neurocomputing, 138. pp. 248-259. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2014.02.006

Gao, M. ORCID: https://orcid.org/0000-0003-4116-4530, Yang, F., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Liu, X. (2023) Automatic monitoring of maize seedling growth using unmanned aerial vehicle-based RGB imagery. Remote Sensing, 15 (14). 3671. ISSN 2072-4292 doi: https://doi.org/10.3390/rs15143671

Gao, M., Yang, F., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Liu, X. (2022) Individual maize location and height estimation in field from UAV-borne LiDAR and RGB images. Remote Sensing, 14 (10). e2292. ISSN 2072-4292 doi: https://doi.org/10.3390/rs14102292

Gong, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2009) OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error. Signal Processing, 89 (4). pp. 502-509. ISSN 0165-1684 doi: https://doi.org/10.1016/j.sigpro.2008.10.006

Gong, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2009) OFDM joint data detection and phase noise cancellation for constant modulus modulations. IEEE Transactions on Signal Processing, 57 (7). pp. 2864-2868. ISSN 1053-587X doi: https://doi.org/10.1109/tsp.2009.2018362

Goodall, T., Pettinger, D. and Di Fatta, G. (2013) Non-uniform data distribution for communication-efficient parallel clustering. Journal of Computational Science, 4 (6). pp. 489-495. ISSN 1877-7503 doi: https://doi.org/10.1016/j.jocs.2013.01.007

Govett, M., Bah, B., Bauer, P., Berod, D., Bouchet, V., Corti, S., Davis, C., Duan, Y., Graham, T., Honda, Y., Hines, A., Jean, M., Ishida, J., Lawrence, B. ORCID: https://orcid.org/0000-0001-9262-7860, Li, J., Luterbacher, J., Muroi, C., Rowe, K., Schultz, M., Visbeck, M. and Williams, K. (2024) Exascale computing and data handling: challenges and opportunities for weather and climate prediction. Bulletin of the American Meteorological Society. ISSN 0003-0007 doi: https://doi.org/10.1175/BAMS-D-23-0220.1 (In Press)

Gu, Y., Cheng, F., Yang, L., Xu, J. ORCID: https://orcid.org/0009-0009-2964-8971, Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X and Cheng, L. ORCID: https://orcid.org/0000-0003-1638-059X (2024) Cost-aware cloud workflow scheduling using DRL and simulated annealing. Digital Communications and Networks. ISSN 2352-8648 doi: https://doi.org/10.1016/j.dcan.2023.12.009

Hadjicosta, E., Franklin, R., Seale, A., Stumper, O., Tsang, V., Anderson, D. R., Pagel, C., Crowe, S., Espuny Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Ridout, D. and Brown, K. L. (2022) Cohort study of intervened functionally univentricular heart in England and Wales (2000–2018). Heart, 108 (13). pp. 1046-1054. ISSN 1468-201X doi: https://doi.org/10.1136/heartjnl-2021-319677

Hallouin, T., Ellis, R. J., Clark, D. B., Dadson, S. J., Hughes, A. G., Lawrence, B. N. ORCID: https://orcid.org/0000-0001-9262-7860, Lister, G. M. S. and Polcher, J. (2022) UniFHy v0.1.1: a community modelling framework for the terrestrial water cycle in Python. Geoscientific Model Development, 15 (24). pp. 9177-9196. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-15-9177-2022

Hameed, S., Badii, A., Mellor, J., Patel, N. and Cullen, A.J. (2007) Factors mediating the routinisation of e-learning within a traditional university education environment. International Journal of Electronic Business, 5 (2). 160–175. ISSN 1741-5063 doi: https://doi.org/10.1504/IJEB.2007.012971

Hammoodi, M. S., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Badii, A. (2018) Real-time feature selection technique with concept drift detection using adaptive micro-clusters for data stream mining. Knowledge-Based Systems, 161. pp. 205-239. ISSN 0950-7051 doi: https://doi.org/10.1016/j.knosys.2018.08.007

Hanga, K. M., Kovalchuk, Y. ORCID: https://orcid.org/0000-0003-4306-4680 and Gaber, M. M. (2022) PGraphD*: methods for drift detection and localisation using deep learning modelling of business processes. Entropy, 24 (7). 910. ISSN 1099-4300 doi: https://doi.org/10.3390/e24070910

Harris, C. J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2001) Neurofuzzy control using Kalman filtering state feedback with coloured noise for unknown non-linear processes. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 215 (5). pp. 423-435. ISSN 2041-3041 doi: https://doi.org/10.1177/095965180121500501

Harris, C. J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2001) Neurofuzzy mixture of experts network parallel learning and model construction algorithms. IEE Proceedings-Control Theory and Applications, 148 (6). pp. 456-465. ISSN 1350-2379 doi: https://doi.org/10.1049/ip-cta:20010758

Harris, C. J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Wilson, P. A. (1999) An intelligent guidance and control system for ship obstacle avoidance. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 213 (4). pp. 311-320. ISSN 2041-3041 doi: https://doi.org/10.1243/0959651991540179

Harris, C.J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2000) Neurofuzzy network model construction using Bézier-Bernstein polynomial functions. IEE Proceedings-Control Theory and Applications, 147 (3). pp. 337-343. ISSN 1350-2379 doi: https://doi.org/10.1049/ip-cta:20000394

Hawkins, G. and Hunneman, R. (2000) A spectral performance model for the High Resolution Dynamics Limb Sounder (6-18µm). Infrared Physics and Technology, 41 (4). pp. 239-246. ISSN 1350-4495 doi: https://doi.org/10.1016/S1350-4495(00)00039-6

Hawkins, G. and Hunneman, R. (2004) The temperature-dependent spectral properties of filter substrate materials in the far-infrared (6-40 mu m). Infrared Physics & Technology, 45 (1). pp. 69-79. ISSN 1350-4495 doi: https://doi.org/10.1016/s1350-4495(03)00180-4

Hawkins, G. and Sherwood, R. E. (2008) Cooled infrared filters and dichroics for the James Webb Space Telescope Mid-Infrared Instrument. Applied Optics, 47 (13). C25-C34. ISSN 0003-6935 doi: https://doi.org/10.1364/AO.47.000C25

Hawkins, G. and Stolberg-Rohr, T. (2015) Determination of the embedded thermo-optical expansion coefficients of PbTe and ZnSe thin film infrared multilayers. Optics Express, 23 (12). pp. 16348-16355. ISSN 1094-4087 doi: https://doi.org/10.1364/OE.23.016348

Hawkins, G., Hunneman, R., Sherwood, R. and Barrett, B. (2000) Infrared filters and coatings for the High Resolution Dynamics Limb Sounder (6-18µm). Applied Optics, 39 (28). pp. 5221-5230. ISSN 0003-6935 doi: https://doi.org/10.1364/AO.39.005221

Hawkins, G., Sherwood, R., Djotni, K., Coppo, P. M., Höhnemann, H. and Belli, F. (2013) Cooled infrared filters and dichroics for the sea and land surface temperature radiometer (SLSTR). Applied Optics Journal, 52 (10). pp. 2125-2135. ISSN 2155-3165 doi: https://doi.org/10.1364/AO.52.002125

Hawkins, G., Woods, D., Sherwood, R. and Djotni, K. (2014) Infrared optical coatings for the EarthCARE Multispectral Imager. Applied Optics, 53 (30). pp. 6983-6992. ISSN 0003-6935 doi: https://doi.org/10.1364/AO.53.006983

Hawkins, G. J., Hunneman, R., Gardner, M.T. and Babcock, G.T. (1998) An ultra-wide passband (5-30µm) filter for FTIR studies of Photosystem II. Infrared Physics and Technology, 39 (5). pp. 297-306. ISSN 1350-4495 doi: https://doi.org/10.1016/S1350-4495(98)00021-8

Hawkins, G. J., Sherwood, R. E., Barrett, B. M., Wallace, M., Orr, H. J. B., Matthews, K. and Bisht, S. (2008) High-performance infrared narrow-bandpass filters for the Indian National Satellite System meteorological instrument (INSAT-3D). Applied Optics, 47 (13). pp. 2346-2356. ISSN 0003-6935 doi: https://doi.org/10.1364/AO.47.002346

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2020) CEN: Understanding Rook vs Minor Piece Endgames. ICGA Journal, 42 (1). pp. 41-45. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190140

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2017) Chess endgame news. ICGA Journal, 39 (2). p. 172. ISSN 1389-6911

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2019) Chess endgame news: 7-man 'Syzygy' DTZ50" EGTs. ICGA Journal, 40 (4). pp. 372-373. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190087

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2019) Chess endgame news: an Endgame challenge for neural nets. ICGA Journal, 41 (3). p. 176. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190109

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2019) Chess endgame news: understanding minor piece endgames. ICGA Journal, 41 (2). pp. 110-112. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190106

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2020) Thomas Ströhlein's Endgame Tables: a 50th Anniversary. ICGA Journal, 42 (2-3). pp. 165-170. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-200151

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2017) Understanding Rook Endgames. ICGA Journal, 39 (2). pp. 145-150. ISSN 1389-6911

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2020) The 16th Top Chess Engine Championship: TCEC 16. ICGA Journal, 41 (4). pp. 241-252. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190122

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2020) The 17th Top Chess Engine Championship: TCEC17. ICGA Journal, 42 (2-3). pp. 181-191. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-200152

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2020) The 18th Top Chess Engine Championship: TCEC18. ICGA Journal, 42 (2-3). pp. 211-222. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-200160

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2021) The 19th Top Chess Engine Championship, TCEC19. ICGA Journal, 42 (4). pp. 295-305. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-200172

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2019) TCEC Cup 1. ICGA Journal, 41 (1). pp. 31-38. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190099

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2019) TCEC Cup 2. ICGA Journal, 41 (2). pp. 100-107. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190104

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2019) TCEC Cup 3. ICGA Journal, 41 (3). pp. 168-173. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190114

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2020) TCEC Cup 4. ICGA Journal, 41 (4). pp. 259-263. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190124

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2020) TCEC Cup 5. ICGA Journal, 42 (2-3). pp. 207-210. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-200150

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2020) TCEC Cup 6. ICGA Journal, 42 (2-3). pp. 237-241. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-200159

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2020) TCEC Cup 7. ICGA Journal, 42 (4). pp. 321-325. ISSN 1389-6911

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2018) TCEC10: the 10th Top Chess Engine Championship. ICGA Journal, 40 (2). pp. 113-118. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-180045

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2018) TCEC11: the 11th top chess engine championship. ICGA Journal, 40 (3). pp. 216-223. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190081

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2019) TCEC12: the 12th Top Chess Engine Championship. ICGA Journal, 41 (1). pp. 24-30. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190090

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2019) TCEC13: the 13th Top Chess Engine Championship. ICGA Journal, 41 (2). pp. 92-99. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190103

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2019) TCEC14: the 14th top chess engine championship. ICGA Journal, 41 (3). pp. 143-151. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190117

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2019) TCEC15: the 15th Top Chess Engine Championship. ICGA Journal, 41 (3). pp. 153-163. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190115

Haworth, G. M. ORCID: https://orcid.org/0000-0001-9896-1448, Regan, K. and Di Fatta, G. (2010) Performance and prediction: Bayesian modelling of fallible choice in chess. Lecture Notes in Computer Science, 6048. pp. 99-110. ISSN 0302-9743 doi: https://doi.org/10.1007/978-3-642-12993-3_10

Hong, S., YAo, F., Zhang, F., Ding, Y. and Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 (2023) LPWC: long preamble wake-up communication protocol for a LoRa network. Internet of Things, 22. 100787. ISSN 2542-6605 doi: https://doi.org/10.1016/j.iot.2023.100787

Hong, S., Yao, F., Ding, Y. and Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 (2022) A hierarchy-based energy-efficient routing protocol for LoRa-Mesh network. IEEE Internet of Things, 9 (22). pp. 23836-22849. ISSN 2327-4662 doi: https://doi.org/10.1109/JIOT.2022.3185619

Hong, S., Yao, F., Zhang, F., Ding, Y. and Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 (2023) Reinforcement learning approach for SF allocation in LoRa network. IEEE Internet of Things, 10 (20). pp. 18259-18272. ISSN 2327-4662 doi: https://doi.org/10.1109/JIOT.2023.3279429

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2007) Modified radial basis function neural network using output transformation. IET Control Theory and Applications, 1 (1). pp. 1-8. ISSN 1751-8644 doi: https://doi.org/10.1049/iet-cta:20050039

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2006) A fast identification algorithm for Box-Cox transformation based radial basis function neural network. IEEE Transactions on Neural Networks, 17 (4). pp. 1064-1069. ISSN 1045-9227 doi: https://doi.org/10.1109/tnn.2006.875986

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Billings, S. A. (1999) Parameter estimation based on stacked regression and evolutionary algorithms. IEE Proceedings-Control Theory and Applications, 146 (5). pp. 406-414. ISSN 1350-2379 doi: https://doi.org/10.1049/ip-cta:19990505

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Billings, S. A. (1999) Time series multistep-ahead predictability estimation and ranking. Journal of Forecasting, 18 (2). pp. 139-149. ISSN 0277-6693 doi: https://doi.org/10.1002/(SICI)1099-131X(199903)18:2<139::AID-FOR710>3.0.CO;2-W

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Billings, S.A. (1997) Givens rotation based fast backward elimination algorithm for RBF neural network pruning. IEE Proceedings-Control Theory and Applications, 144 (5). pp. 381-384. ISSN 1350-2379 doi: https://doi.org/10.1049/ip-cta:19971436

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S. (2015) Elastic net orthogonal forward regression. Neurocomputing, 148. pp. 551-560. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2014.07.008

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S. (2005) M-estimator, and D-optimality model construction using orthogonal forward regression. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 35 (1). pp. 155-162. ISSN 1083-4419 doi: https://doi.org/10.1109/tsmcb.2004.839910

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S. (2011) Modeling of complex-valued Wiener systems using B-spline neural network. IEEE Transactions on Neural Networks, 22 (5). pp. 818-825. ISSN 1045-9227 doi: https://doi.org/10.1109/TNN.2011.2119328

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S. (2017) Recursive least squares semi-blind beamforming for MIMO using decision directed adaptation and constant modulus criterion. International Journal of Automation and Computing, 14 (4). pp. 442-449. ISSN 1476-8186 doi: https://doi.org/10.1007/s11633-017-1087-6

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S. (2008) A minimum approximate-BER beamforming approach for PSK modulated wireless systems. International Journal of Automation and Computing, 5 (3). pp. 284-289. ISSN 1476-8186 doi: https://doi.org/10.1007/s11633-008-0284-8

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S. (2009) A new RBF neural network with boundary value constraints. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 39 (1). pp. 298-303. ISSN 1083-4419 doi: https://doi.org/10.1109/tsmcb.2008.2005124

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S. (2012) The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization. Neurocomputing, 82. pp. 216-223. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2011.11.016

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Gao, J. (2021) Estimating the square root of probability density function on Riemannian manifold. Expert Systems: International Journal of Knowledge Engineering, 38 (7). e12266. ISSN 1468-0394 doi: https://doi.org/10.1111/exsy.12266

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2003) Experimental design and model construction algorithms for radial basis function networks. International Journal of Systems Science, 34 (14-15). pp. 733-745. ISSN 0020-7721 doi: https://doi.org/10.1080/00207720310001640223

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2001) Neurofuzzy design and model construction of nonlinear dynamical processes from data. IEE Proceedings-Control Theory and Applications, 148 (6). pp. 530-538. ISSN 1350-2379 doi: https://doi.org/10.1049/ip-cta:20010704

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2002) Nonlinear model structure design and construction using orthogonal least squares and D-optimality design. IEEE Transactions on Neural Networks, 13 (5). pp. 1245-1250. ISSN 1045-9227 doi: https://doi.org/10.1109/TNN.2002.1031959

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2001) Nonlinear model structure detection using optimum experimental design and orthogonal least squares. IEEE Transactions on Neural Networks, 12 (2). pp. 435-439. ISSN 1045-9227 doi: https://doi.org/10.1109/72.914539

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2001) Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks. IEEE Transactions on Fuzzy Systems, 9 (1). pp. 88-101. ISSN 1063-6706 doi: https://doi.org/10.1109/91.917117

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2002) A mixture of experts network structure construction algorithm for modelling and control. Applied Intelligence, 16 (1). pp. 59-69. ISSN 1573-7497 doi: https://doi.org/10.1023/A:1012869427428

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2003) A neurofuzzy network knowledge extraction and extended gram-Schmidt algorithm for model subspace decomposition. IEEE Transactions on Fuzzy Systems, 11 (4). pp. 528-541. ISSN 1063-6706 doi: https://doi.org/10.1109/tfuzz.2003.814842

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J. (2000) Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition. IEEE Transactions on Neural Networks, 11 (4). pp. 889-902. ISSN 1045-9227 doi: https://doi.org/10.1109/72.857770

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harwin, W.S. ORCID: https://orcid.org/0000-0002-3928-3381 (2006) Finding the point on Bezier Curves with the normal vector passing an external point. International Journal of Modelling Identification and Control, 1 (4). doi: https://doi.org/10.1504/IJMIC.2006.012620

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Mitchell, R. J. (2007) Backward elimination model construction for regression and classification using leave-one-out criteria. International Journal of Systems Science, 38 (2). pp. 101-113. ISSN 0020-7721 doi: https://doi.org/10.1080/00207720601051463

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Mitchell, R. J. (2007) Hammerstein model identification algorithm using Bezier-Bernstein approximation. IET Control Theory and Applications, 1 (4). pp. 1149-1159. ISSN 1751-8644 doi: https://doi.org/10.1049/iet-cta:20060018

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Brown, M. and Chen, S. (2004) Backward elimination methods for associative memory network pruning. International Journal of Hybrid Intelligent Systems, 1 (1-2). pp. 90-98.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Brown, M., Chen, S. and Harris, C. J. (2004) Sparse model identification using orthogonal forward regression with basis pursuit and D-optimality. IEE Proceedings-Control Theory and Applications, 151 (4). pp. 491-498. ISSN 1350-2379 doi: https://doi.org/10.1049/ip-cta:20040693

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Brown, M., Harris, C.J. and Chen, S. (2003) An orthogonal forward regression algorithm combined with basis pursuit and D-optimality. IEEE SMC UK&RI Chapter Workshop: Cybernetic Intelligence-Challenges and Advances. pp. 57-62.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Sharkey, P. M. (2004) Automatic Kernel Regression Modelling using Combined Leave-One-Out Test Score and Regularised Orthogonal Least Squares. International Journal of Neural Systems, 14 (1). pp. 27-37.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Becerra, V. (2016) Sparse density estimator with tunable kernels. Neurocomputing, 173 (3). pp. 1976-1982. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2015.08.021

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. (2012) Using zero-norm constraint for sparse probability density function estimation. International Journal of Systems Science, 43 (11). pp. 2107-2113. ISSN 0020-7721 doi: https://doi.org/10.1080/00207721.2011.564673

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2008) A-optimality orthogonal forward regression algorithm using branch and bound. IEEE Transactions on Neural Networks, 19 (11). pp. 1961-1967. ISSN 1045-9227 doi: https://doi.org/10.1109/tnn.2008.2003251

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2013) Elastic-net prefiltering for two-class classification. IEEE Transactions on Cybernetics, 43 (1). pp. 286-295. ISSN 2168-2267 doi: https://doi.org/10.1109/TSMCB.2012.2205677

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2006) Fast kernel classifier construction using orthogonal forward selection to minimise leave-one-out misclassification rate. Lecture Notes in Computer Science, 4113. pp. 106-114. ISSN 0302-9743 9783540372714 doi: https://doi.org/10.1007/11816157_11

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2008) A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate. International Journal of Systems Science, 39 (2). pp. 119-125. ISSN 0020-7721 doi: https://doi.org/10.1080/00207720701727822

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2008) A forward-constrained regression algorithm for sparse kernel density estimation. IEEE Transactions on Neural Networks, 19 (1). pp. 193-198. ISSN 1045-9227 doi: https://doi.org/10.1109/tnn.2007.908645

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C.J. (2007) A kernel-based two-class classifier for imbalanced data sets. IEEE Transactions on Neural Networks, 18 (1). pp. 28-41. ISSN 1045-9227 doi: https://doi.org/10.1109/TNN.2006.882812

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Gao, J. and Harris, C. J. (2015) Nonlinear identification using orthogonal forward regression with nested optimal regularization. IEEE Transactions on Cybernetics, 45 (12). pp. 2925-2936. ISSN 2168-2267 doi: https://doi.org/10.1109/TCYB.2015.2389524

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Gong, Y. and Harris, C. J. (2014) Nonlinear equalization of Hammerstein OFDM systems. IEEE Transactions on Signal Processing, 62 (21). pp. 5629-5639. ISSN 1053-587X doi: https://doi.org/10.1109/TSP.2014.2355773

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Guo, Y. and Gao, J. (2017) l1-norm penalized orthogonal forward regression. International Journal of Systems Science, 48 (10). pp. 2195-2201. ISSN 0020-7721 doi: https://doi.org/10.1080/00207721.2017.1311383

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Harris, C. J. and Khalaf, E. F. (2014) Single-carrier frequency domain equalisation for hammerstein communication systems using complex-valued neural networks. IEEE Transactions on Signal Processing, 62 (17). pp. 4467-4478. ISSN 1053-587X doi: https://doi.org/10.1109/TSP.2014.2333555

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Qatawneh, A., Daqrouq, K., Sheikh, M. and Morfeq, A. (2013) Sparse probability density function estimation using the minimum integrated square error. Neurocomputing, 114. pp. 122-129. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2013.02.003

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Qatawneh, A., Daqrouq, K., Sheikh, M. and Morfeq, A. (2014) A radial basis function network classifier to maximise leave-one-out mutual information. Applied Soft Computing, 23. pp. 9-18. ISSN 1568-4946 doi: https://doi.org/10.1016/j.asoc.2014.06.003

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J. and Chen, S. (2020) Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling. Journal of the Franklin Institute, 357 (9). pp. 5680-5690. ISSN 0016-0032 doi: https://doi.org/10.1016/j.jfranklin.2020.04.009

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J. and Chen, S. (2017) Zero attracting recursive least squares algorithms. IEEE Transactions on Vehicular Technology, 66 (1). 213 -221. ISSN 0018-9545 doi: https://doi.org/10.1109/TVT.2016.2533664

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Chen, S. and Harris, C. J. (2013) Particle swarm optimisation assisted classification using elastic net prefiltering. Neurocomputing, 122. pp. 210-220. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2013.06.030

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Chen, S. and Zia, T. (2015) Sparse density estimation on the multinomial manifold. IEEE Transactions on Neural Networks and Learning Systems, 26 (11). pp. 2972-2977. ISSN 2162-237X doi: https://doi.org/10.1109/TNNLS.2015.2389273

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Jiang, X. and Harris, C. J. (2014) Estimation of Gaussian process regression model using probability distance measures. Systems Science & Control Engineering, 2. pp. 655-663. ISSN 2164-2583 doi: https://doi.org/10.1080/21642583.2014.970731

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Jiang, X. and Harris, C. J. (2014) Fast identification algorithms for Gaussian process model. Neurocomputing, 133. pp. 25-31. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2013.11.035

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Xiao, J. and Mitchell, R. (2023) Two-step scalable spectral clustering algorithm using landmarks and probability density estimation. Neurocomputing, 519. pp. 173-186. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2022.11.063

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J. and Chen, S. (2004) Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 34 (1). pp. 598-608. ISSN 1083-4419 doi: https://doi.org/10.1109/tsmcb.2003.817089

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J. and Wilson, P. A. (1999) Neurofuzzy state identification using prefiltering. IEE Proceedings-Control Theory and Applications, 146 (2). pp. 234-240. ISSN 1350-2379 doi: https://doi.org/10.1049/ip-cta:19990121

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J., Chen, S. and Sharkey, P. M. (2003) Robust nonlinear model identification methods using forward regression. IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans, 33 (4). pp. 514-523. ISSN 1083-4427 doi: https://doi.org/10.1109/tsmca.2003.809217

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Iplikci, S., Chen, S. and Warwick, K. (2014) A model-based PID controller for Hammerstein systems using B-spline neural networks. International Journal of Adaptive Control and Signal Processing, 28 (3-5). pp. 412-428. ISSN 0890-6327 doi: https://doi.org/10.1002/acs.2293

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Mitchell, R. and Chen, S. (2012) Modelling and control of Hammerstein system using B-spline approximation and the inverse of De Boor algorithm. International Journal of Systems Science, 43 (10). pp. 1976-1984. ISSN 0020-7721 doi: https://doi.org/10.1080/00207721.2011.564320

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Mitchell, R. and Di Fatta, G. (2019) Simplex basis function based sparse least squares support vector regression. Neurocomputing, 330. pp. 394-402. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2018.11.025

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Mitchell, R. J. and Chen, S. (2013) System identification of Wiener systems with B-spline functions using De Boor recursion. International Journal of Systems Science, 44 (9). pp. 1666-1674. ISSN 0020-7721 doi: https://doi.org/10.1080/00207721.2012.669863

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Mitchell, R. J., Chen, S., Harris, C. J., Li, K. and Irwin, G. W. (2008) Model selection approaches for non-linear system identification: a review. International Journal of Systems Science, 39 (10). pp. 925-946. ISSN 0020-7721 doi: https://doi.org/10.1080/00207720802083018

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Sharkey, P. M. and Warwick, K. (2003) Automatic nonlinear predictive model-construction algorithm using forward regression and the PRESS statistic. IEE Proceedings-Control Theory and Applications, 150 (3). pp. 245-254. ISSN 1350-2379 doi: https://doi.org/10.1049/ip-cta:20030311

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Sharkey, P. M. and Warwick, K. (2003) A robust nonlinear identification algorithm using PRESS statistic and forward regression. IEEE Transactions on Neural Networks, 14 (2). pp. 454-458. ISSN 1045-9227 doi: https://doi.org/10.1109/tnn.2003.809422

Hu, K. ORCID: https://orcid.org/0000-0001-7181-9935, Feng, X. ORCID: https://orcid.org/0000-0002-4584-7630, Zhang, Q. ORCID: https://orcid.org/0000-0002-2257-0405, Shao, P. ORCID: https://orcid.org/0000-0001-5001-7415, Liu, Z. ORCID: https://orcid.org/0000-0002-6856-9274, Xu, Y. ORCID: https://orcid.org/0000-0003-3564-399X, Wang, S., Wang, Y., Wang, H., Di, L. and Xia, M. ORCID: https://orcid.org/0000-0003-4681-9129 (2024) Review of satellite remote sensing of carbon dioxide inversion and assimilation. Remote Sensing, 16 (18). 3394. ISSN 2072-4292 doi: https://doi.org/10.3390/rs16183394

Hu, P., Yang, F., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Ji, L. and Liu, D. (2019) A multi-algorithm block fusion method based on set-valued mapping for dual-modal infrared images. Infrared Physics & Technology, 102. 102977. ISSN 1350-4495 doi: https://doi.org/10.1016/j.infrared.2019.102977

Hu, P., Yang, F., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Ji, L. and Wang, X. (2019) Research on constructing difference-features to guide the fusion of dual-modal infrared images. Infrared Physics & Technology, 102 (1). 102994. ISSN 1350-4495 doi: https://doi.org/10.1016/j.infrared.2019.102994

Huang, Q. ORCID: https://orcid.org/0000-0003-4456-2999, Ridout, D., Tsang, V., Drury, N. E., Jones, T. J., Bellsham-Revell, H., Hadjicosta, E., Seale, A. N., Mehta, C., Pagel, C., Crowe, S., Espuny Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Franklin, R. C. G. and Brown, K. L. (2024) Quantifying additional procedures in functionally single-ventricle disease: a national cohort study. Annals of Thoracic Surgery Short Reports, 2 (2). pp. 282-286. ISSN 2772-9931 doi: https://doi.org/10.1016/j.atssr.2023.12.001

Hunneman, R. and Hawkins, G. J. (1996) Infrared filters and dichroics for the advanced along track scanning radiometer. Applied Optics, 35 (28). pp. 5524-5528. ISSN 1559-128X doi: https://doi.org/10.1364/AO.35.005524

Hussey, R., Williams, S. and Mitchell, R. (2011) Automated categorisation of e-journals by synonym analysis of n-grams. The International Journal on Advances in Software, 4 (3-4). pp. 532-542. ISSN 1942-2628

Hussey, R., Williams, S., Mitchell, R. and Field, I. (2012) A comparison of automated keyphrase extraction techniques and of automatic evaluation vs. human evaluation. International Journal on Advances in Life Sciences, 4 (3 and 4). pp. 136-153. ISSN 1942-2660

Idrees, M. M., Minku, L. L., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Badii, A. (2020) A heterogeneous online learning ensemble for non-stationary environments. Knowledge-Based Systems, 188. 104983. ISSN 0950-7051 doi: https://doi.org/10.1016/j.knosys.2019.104983

Idrees, M. M. ORCID: https://orcid.org/0000-0002-2572-3251, Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Badii, A. (2022) Adaptive learning with extreme verification latency in non-stationary environments. IEEE Access, 10. pp. 127345-127364. ISSN 2169-3536 doi: https://doi.org/10.1109/access.2022.3225225

Ihmeida, M. ORCID: https://orcid.org/0009-0009-8728-6868 and Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X (2023) Enhanced change detection performance based on deep despeckling of synthetic aperture radar images. IEEE Access. p. 1. ISSN 2169-3536 doi: https://doi.org/10.1109/access.2023.3307208

Jia, G., Wang, X., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Zhang, Z. (2013) Modeling image motion in airborne Three-Line-Array (TLA) push-broom cameras. Photogrammetric Engineering and Remote Sensing, 79 (1). pp. 67-78. ISSN 0099-1112

Juckes, M., Taylor, K. E., Durack, P. J., Lawrence, B. ORCID: https://orcid.org/0000-0001-9262-7860, Mizielinski, M. S., Pamment, A., Peterschmitt, J.-Y., Rixen, M. and Sénési, S. (2020) The CMIP6 Data Request (DREQ, version 01.00.31). Geoscientific Model Development, 13 (1). pp. 201-224. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-13-201-2020

Jumah, N., Kunkel, J. M., Zängl, G., Yashiro, H., Dubos, T. and Meurdesoif, T. (2017) GGDML: icosahedral models language extensions. Journal of Computer Science Technology Updates, 4 (1). pp. 1-10. ISSN 2410-2938 doi: https://doi.org/10.15379/2410-2938.2017.04.01.01

Katti, A. and Di Fatta, G. (2013) Dynamic group communication for large-scale parallel data mining. Concurrent Engineering, 21 (3). pp. 227-234. ISSN 1063-293X doi: https://doi.org/10.1177/1063293X13495551

Katti, A., Di Fatta, G., Naughton, T. and Engelmann, C. (2018) Epidemic failure detection and consensus for extreme parallelism. International Journal of High Performance Computing Applications, 32 (5). pp. 729-743. ISSN 1094-3420 doi: https://doi.org/10.1177/1094342017690910

Kershaw, P., Halsall, K., Lawrence, B. N. ORCID: https://orcid.org/0000-0001-9262-7860, Bennett, V., Donegan, S., Iwi, A., Juckes, M., Pechorro, E., Petrie, R., Singleton, J., Stephens, A., Waterfall, A., Wilson, A. and Wood, A. (2020) Developing an open data portal for the ESA climate change initiative. Data Science Journal, 19 (1). ISSN 1683-1470 doi: https://doi.org/10.5334/dsj-2020-016

Ketsbaia, L., Issac, B., Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X and Mary Jacob, S. (2023) A multi-stage machine learning and fuzzy approach to cyber-hate detection. IEEE Access, 11. pp. 56046-56065. ISSN 2169-3536 doi: https://doi.org/10.1109/ACCESS.2023.3282834

Kirk, P., Thorne, T. and Stumpf, M. P. H. (2013) Model selection in systems and synthetic biology. Current Opinion in Biotechnology, 24 (4). pp. 767-774. ISSN 0958-1669 doi: https://doi.org/10.1016/j.copbio.2013.03.012

Knowles, R. L., Ridout, D., Huang, Q., Franklin, R. C., Seale, A. N., Bellsham-Revell, H., Espuny-Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400 and Brown, K. L. (2024) Influence of sex, race and ethnicity, and deprivation on survival and completion of the Fontan pathway for children with functionally single ventricle heart disease. Circulation, 150 (3). pp. 246-249. ISSN 1524-4539 doi: https://doi.org/10.1161/CIRCULATIONAHA.124.069779

Kovalchuk, Y. ORCID: https://orcid.org/0000-0003-4306-4680, Budini, E., Cook, R. M. and Walsh, A. (2022) Investigating the relationship between facial mimicry and empathy. Behavioral Sciences, 12 (8). 250. ISSN 2076-328X doi: https://doi.org/10.3390/bs12080250

Krabbenbos, J., Herik, J. v. d. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2018) WSCC 2017: the World Speed Computer Chess Championship. ICGA Journal, 40 (1). pp. 40-42. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-180034

Krabbenbos, J., van den Herik, J. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2017) WCCC 2016: the 22nd World Computer Chess Championship. ICGA Journal, 39 (1). pp. 47-59. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-170014

Krabbenbos, J., van den Herik, J. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2018) WCCC 2017: the 23rd world computer chess championship. ICGA Journal, 39 (3-4). pp. 210-221. ISSN 1389-6911

Krabbenbos, J., van den Herik, J. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2018) WCCC 2018: the 24th World Computer Chess Championship. ICGA Journal, 40 (3). pp. 182-193. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190080

Krabbenbos, J., van den Herik, J. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2020) WCCC 2019: the 25th World Computer Chess Championship. ICGA Journal, 41 (4). pp. 206-221. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190125

Krabbenbos, J., van den Herik, J. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2017) WCSC 2016: the 6th World Chess Software Championship. ICGA Journal, 39 (2). pp. 151-159. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-170013

Krabbenbos, J., van den Herik, J. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2018) WCSC 2017: the 7th World Chess Software Championship. ICGA Journal, 40 (1). pp. 32-39. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-170033

Krabbenbos, J., van den Herik, J. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2019) WCSC 2018: the 8th world chess software championship. ICGA Journal, 40 (3). pp. 194-206. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190079

Krabbenbos, J., van den Herik, J. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2020) WCSC 2019: the 9th World Chess Software Championship. ICGA Journal, 41 (4). pp. 222-236. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190126

Krabbenbos, J., van den Herik, J. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2017) WSCC 2016: the World Speed Computer Chess Championship. ICGA Journal, 39 (2). pp. 160-162. ISSN 1389-6911

Krabbenbos, J., van den Herik, J. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2018) WSCC 2018: the 2018 World Speed Chess Championship. ICGA Journal, 40 (3). pp. 207-210. ISSN 2468-2438 doi: https://doi.org/10.3233/ICG-190078

Krabbenbos, J., van den Herik, J. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2020) WSCC 2019: the World Speed Chess Championship. ICGA Journal, 1 (4). pp. 237-240. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190127

Kuhn, M., Kunkel, J. M. and Ludwig, T. (2016) Data compression for climate data. Supercomputing Frontiers and Innovations, 3 (1). pp. 75-94. ISSN 2313-8734 doi: https://doi.org/10.14529/jsfi160105

Kunkel, J. and Dolz, M. F. (2018) Understanding hardware and software metrics with respect to power consumption. Sustainable Computing: Informatics and Systems, 17. pp. 43-54. ISSN 2210-5379 doi: https://doi.org/10.1016/j.suscom.2017.10.016

Kunkel, J., Filinger, W., Meesters, C. and Gerbes, A. (2020) The HPC certification forum: toward a globally acknowledged HPC certification. Computing in Science and Engineering, 22 (4). ISSN 1521-9615 doi: https://doi.org/10.1109/MCSE.2020.2996073

Kunkel, J., Himstedt, K., Filinger, W., Acquaviva, J.-T., Gerbes, A. and Lafayette, L. (2020) One year HPC certification forum in retrospective. Journal of Computational Science Education, 11 (1). pp. 29-35. ISSN 2153-4136 doi: https://doi.org/10.22369/issn.2153-4136/11/1/6

Kunkel, J., Himstedt, K., Hübbe, N., Stüben, H., Schröder, S., Kuhn, M., Riebisch, M., Olbrich, S., Ludwig, T., Filinger, W., Acquaviva, J.-T., Gerbes, A. and Lafayette, L. (2019) Towards an HPC certification program. Journal of Computational Science Education, 10 (1). pp. 88-89. ISSN 2153-4136 doi: https://doi.org/10.22369/issn.2153-4136/10/1/14

Kunkel, J., Jumah, N., Novikova, A., Ludwig, T., Yashiro, H., Maruyama, N., Wahib, M. and Thuburn, J. (2020) AIMES: advanced computation and I/O methods for earth-system simulations. Software for Exascale Computing - SPPEXA 2016-2019. Lectures Notes in Computational Science and Engineering (136). pp. 61-102. ISSN 1439-7358 doi: https://doi.org/10.1007/978-3-030-47956-5_5

Kunkel, J. M. (2016) Analyzing data properties using statistical sampling: illustrated on scientific file formats. Supercomputing Frontiers and Innovations, 3 (3). pp. 34-39. ISSN 2409-6008 doi: https://doi.org/10.14529/jsfi160304

Kunkel, J. M. and Pedro, L. R. (2020) Potential of I/O aware workflows in climate and weather. Supercomputing Frontiers and Innovations, 7 (2). pp. 35-53. ISSN 2313-8734 doi: https://doi.org/10.14529/jsfi200203

Kunkel, J. M., Aguilera, A., Hübbe, N., Wiedemann, M. and Zimmer, M. (2015) Monitoring energy consumption with SIOX. Computer Science - Research and Development, 30 (2). pp. 125-133. ISSN 1865-2034 doi: https://doi.org/10.1007/s00450-014-0271-y

Kunkel, J. M., Kuhn, M. and Ludwig, T. (2014) Exascale storage systems: an analytical study of expenses. Supercomputing Frontiers and Innovations, 1 (1). pp. 116-134. ISSN 2409-6008 doi: https://doi.org/10.14529/jsfi140106

Kunkel, J. M., Novikova, A. and Betke, E. (2017) Towards decoupling the selection of compression algorithms from quality constraints – an investigation of lossy compression efficiency. Supercomputing Frontiers and Innovations, 4 (4). pp. 17-33. ISSN 2313-8734 doi: https://doi.org/10.14529/jsfi170402

Kunkel, J. M., Shoukourian, H., Heidari, R. and Wilde, T. (2019) Interference of billing and scheduling strategies for energy and cost savings in modern data centers. Sustainable Computing: Informatics and Systems, 23. pp. 49-66. ISSN 2210-5379 doi: https://doi.org/10.1016/j.suscom.2019.04.003

Kusumaningrum, R., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Manurung, R. and Murni, A. (2014) Integrated visual vocabulary in latent Dirichlet allocation-based scene classification for IKONOS image. Journal of Applied Remote Sensing, 8 (1). 083690. ISSN 1931-3195 doi: https://doi.org/10.1117/1.JRS.8.083690

Lavender, S. L., Stirling, A. J., Whitall, M., Stratton, R., Daleu, C. ORCID: https://orcid.org/0000-0003-2075-4902, Plant, R. S. ORCID: https://orcid.org/0000-0001-8808-0022, Lock, A. and Gu, J.-F. ORCID: https://orcid.org/0000-0002-7752-4553 (2024) The use of idealised experiments in testing a new convective parameterization: performance of CoMorph-A. Quarterly Journal of the Royal Meteorological Society. ISSN 1477-870X (In Press)

Lawrence, B. N. ORCID: https://orcid.org/0000-0001-9262-7860, Rezny, M., Budich, R., Bauer, P., Behrens, J., Carter, M., Deconinck, W., Ford, R., Maynard, C., Mullerworth, S., Osuna, C., Porter, A., Serradell, K., Valcke, S., Wedi, N. and Wilson, S. (2018) Crossing the chasm: how to develop weather and climate models for next generation computers? Geoscientific Model Development, 11 (5). pp. 1799-1821. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-11-1799-2018

Le, T., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Gaber, M. M., Gomes, J. B. and Di Fatta, G. (2017) On expressiveness and uncertainty awareness in rule-based classification for data streams. Neurocomputing, 265. 127- 141. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2017.05.081

Lester, M. ORCID: https://orcid.org/0000-0002-2323-1771, Ong, L. and Schäfer, M. (2016) Information flow analysis for a dynamically typed language with staged metaprogramming. Journal of Computer Security, 24 (5). pp. 541-582. ISSN 0926-227X doi: https://doi.org/10.3233/JCS-160557

Lester, M. M. ORCID: https://orcid.org/0000-0002-2323-1771 (2022) Pseudo-Boolean optimisation for RobinX sports timetabling. Journal of Scheduling, 25. pp. 287-299. ISSN 1099-1425 doi: https://doi.org/10.1007/s10951-022-00737-7

Li, K., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Maione, G. and Niu, Q. (2012) Bio-inspired computing and applications (LSMS-ICSEE, 2010). Neurocomputing, 98. pp. 1-3. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2012.05.014

Li, K., Irwin, G. W. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2008) Life system modelling, simulation, and bio-inspired computing (LSMS 2007). Neurocomputing, 72 (1-3). pp. 126-127. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2008.08.001

Li, L., Nawaz, T. and Ferryman, J. (2019) Performance analysis and formative assessment of visual trackers using PETS critical infrastructure surveillance datasets. Journal of Electronic Imaging, 28 (04). 043004. ISSN 1560-229X doi: https://doi.org/10.1117/1.jei.28.4.043004

Liang, H. (2022) DRprofiling: deep reinforcement user profiling for recommendations in heterogenous information networks. Transactions on Knowledge and Data Engineering, 34 (4). pp. 1723-1734. ISSN 1558-2191 doi: https://doi.org/10.1109/TKDE.2020.2998695

Liang, H. and Markchom, T. (2022) TNE: a general time-aware network representation learning framework for temporal applications. Knowledge-Based Systems, 240. 108050. ISSN 0950-7051 doi: https://doi.org/10.1016/j.knosys.2021.108050

Liang, H., Ganeshbabu, U. and Thorne, T. (2020) A dynamic Bayesian network approach for analysing topic-sentiment evolution. IEEE Access, 8. 54164 -54174. ISSN 2169-3536 doi: https://doi.org/10.1109/ACCESS.2020.2979012

Liotta, A. and Di Fatta, G. (2014) Data mining for monitoring and managing systems and networks. Journal of Network and Systems Management, 22 (2). pp. 147-149. ISSN 1064-7570 doi: https://doi.org/10.1007/s10922-014-9306-8

Liu, C., Chen, J., Chen, Y., Payton, R., Riley, M. and Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 (2023) Self-supervised adaptive weighting for cooperative perception in V2V communications. IEEE Transactions on Intelligent Vehicles. ISSN 2379-8904 doi: https://doi.org/10.1109/TIV.2023.3345035

Liu, C., Chen, Y., Chen, J., Payton, R., Riley, M. and Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 (2023) Cooperative perception with learning-based V2V communications. IEEE Wireless Communications Letters, 12 (11). pp. 1831-1835. ISSN 2162-2345 doi: https://doi.org/10.1109/LWC.2023.3295612

Liu, C., Zhou, Y., Chen, Y. and Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 (2023) Knowledge distillation based semantic communications for multiple users. IEEE Transactions on Wireless Communication. ISSN 1558-2248 doi: https://doi.org/10.1109/TWC.2023.3336941

Liu, D., Yang, F., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Hu, P. (2020) Remote sensing image fusion method based on discrete wavelet and multiscale morphological transform in the IHS color space. Journal of Applied Remote Sensing, 14 (1). 016518. ISSN 1931-3195 doi: https://doi.org/10.1117/1.JRS.14.016518

Liu, H., Gegov, A. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2013) J-measure based hybrid pruning for complexity reduction in classification rules. WSEAS Transactions on Systems, 12 (9). pp. 433-446. ISSN 2224-2678

Liu, J., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Huang, X.-Y., He, N.-S. and Li, K. (2009) A bridge-ship collision avoidance system based on FLIR image sequences. Lecture Notes in Electrical Engineering, 39. pp. 123-133. ISSN 1876-1100 doi: https://doi.org/10.1007/978-90-481-2311-7_11

Liu, K. (2005) Requirements reengineering from legacy information systems using semiotic techniques, Systems signs and actions. Systems, Signs and Actions: An International Journal on Communication, Information Technology and Workpractices, 1 (1). 38- 61. ISSN 1652-8719

Liu, K. and Sun, L. (2006) Determining information requirements for e-business Systems - from activity space to information space. Journal of International Technology and Information Management, 1 (15). 1 - 18. ISSN 1941-6679

Liu, K., Sun, L. and Bennett, K. (2002) Co-design of business and IT systems: introduction by guest editors. Information Systems Frontiers, 4 (3). pp. 251-256. ISSN 1572-9419 doi: https://doi.org/10.1023/A:1019942501848

Liu, K., Sun, L. and Fu, Y. (2008) Ontological modelling of content management and provision. Information and Software Technology, 50 (11). pp. 1155-1164. ISSN 0950-5849 doi: https://doi.org/10.1016/j.infsof.2008.03.008

Liu, K., Sun, L. and Tan, S. (2007) Modelling complex systems for project planning - a semiotics motivated method. International Journal of General Systems, 35 (3). 313 - 327. ISSN 1563-5104 doi: https://doi.org/10.1080/03081070600661028

Liu, K., Sun, L., Barjis, J. and Dietz, J. (2003) Modelling dynamic behaviour of business organisations - extension of DEMO from a semiotic perspective. Knowledge-Based Systems, 16 (2). pp. 101-111. ISSN 0950-7051 doi: https://doi.org/10.1016/S0950-7051(02)00077-1

Liu, K., Sun, L., Dix, A. and Narasipuram, M. (2001) Norm-based agency for designing collaborative information systems. Information Systems Journal, 11. pp. 229-247. ISSN 1365-2575 doi: https://doi.org/10.1111/j.1365-2575.2001.00102.x

Liu, K., Zhang, R., Yin, L., Sun, L., Pan, X., Hou, L., Shang, X. and Yang, X. (2018) Medical service unity: an effective approach for medical care in rural areas in China. Rural and Remote Health, 18 (3). 4483. ISSN 1445-6354 doi: https://doi.org/10.22605/RRH4483

Liu, Q. G., Huang, D., Wang, Y. H., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Tang, Y. Y. (2017) Built-up area detection based on a Bayesian saliency model. International Journal of Wavelets, Multiresolution and Information Processing, 15 (3). 1750027. ISSN 1793-690X doi: https://doi.org/10.1142/S0219691317500278

Liu, X., Yang, F., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Gao, M. (2022) Shadow compensation from UAV images based on texture-preserving local color transfer. Remote Sensing, 14 (19). 4969. ISSN 2072-4292 doi: https://doi.org/10.3390/rs14194969

Liu, X., Yang, F., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Gao, M. (2022) Shadow removal from UAV images based on color and texture equalization compensation of local homogeneous regions. Remote Sensing, 14 (11). e2616. ISSN 2072-4292 doi: https://doi.org/10.3390/rs14112616

Liyanagunawardena, T. and Williams, S. (2015) Massive Open Online Courses and perspectives from learners in developing countries. VISTAS Journal, 9. pp. 19-37.

Liyanagunawardena, T. and Williams, S. A. (2021) Emergency remote education: experience from Sri Lanka during Covid-19. Asian Journal of Distance Education, 16 (1). pp. 207-229. ISSN 1347-9008

Liyanagunawardena, T., Scalzavara, S. and Williams, S. (2017) Open badges: a systematic review of peer-reviewed published literature (2011-2015). European Journal of Open, Distance and E-Learning, 20 (2). pp. 1-16. ISSN 1027-5207

Liyanagunawardena, T. R., Lundqvist, K. O. and Williams, S. A. (2015) Massive Open Online Courses and economic sustainability. European Journal of Open, Distance and e-Learning, 18 (2). pp. 95-111. ISSN 1027-5207 doi: https://doi.org/10.1515/eurodl-2015-0015

Liyanagunawardena, T. R., Lundqvist, K., Mitchell, R., Warburton, S. and Williams, S. A. (2019) A MOOC taxonomy based on classification schemes of MOOCs. European Journal of Open, Distance and E-Learning, 22 (1). pp. 85-103. ISSN 1027-5207

Lu, X., Zhang, R., Wu, W., Shang, X., Sun, L. and Zhu, X. (2020) Is the internet different from traditional mass media in promoting patient compliance with mature treatments? Telemedicine and e-Health, 26 (1). ISSN 1556-3669 doi: https://doi.org/10.1089/tmj.2018.0292

Lubega, J.T., Sun, L. and Williams, S.A. (2005) A Design for Generating Personalised Feedback in Knowledge Construction. Lecture Notes in Computer Science, 3583. pp. 302-310. doi: https://doi.org/10.1007/11528043_30

Lüttgau, J., Kuhn, M., Duwe, K., Alforov, Y., Betke, E., Kunkel, J. and Ludwig, T. (2018) Survey of storage systems for high-performance computing. Supercomputing Frontiers and Innovations, 5 (1). ISSN 2313-8734 doi: https://doi.org/10.14529/jsfi180103

Maamar, Z., Baker, T., Faci, N., Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Ugljanin, E., Atif, Y. and Sellami, M. (2019) Weaving cognition into the internet-of-things: application to water leaks. Cognitive Systems Research, 56. pp. 233-245. ISSN 1389-0417 doi: https://doi.org/10.1016/j.cogsys.2019.04.001

Manjunathaiah, M. (2009) Analysing variable sharing in a co-design compiler. HiPEAC.

Manjunathaiah, M. (2013) Fine-grained multi-phase array designs. Journal of Parallel and Distributed Computing, 73 (8). pp. 1076-1082. ISSN 0743-7315 doi: https://doi.org/10.1016/j.jpdc.2013.03.003

Manjunathaiah, M. and Megson, G. M. (2004) Tools for regularizing Array Designs. Parallel Algorithms and Applications, 19 (1). pp. 51-75. ISSN 1063-7192 doi: https://doi.org/10.1080/1063719042000208854

Manjunathaiah, M. and Nicole, D. A. (1997) Precise analysis of array usage in scientific programs. Scientific Programming, 6 (2). pp. 229-242. ISSN 1875-919X

Markchom, T., Liang, H. and Ferryman, J. (2023) Explainable meta-path based recommender systems. ACM Transactions on Recommender Systems. ISSN 2770-6699 doi: https://doi.org/10.1145/3625828 (In Press)

Markchom, T., Liang, H. ORCID: https://orcid.org/0000-0003-4408-4528 and Ferryman, J. (2023) Scalable and explainable visually-aware recommender systems. Knowledge-Based Systems, 263. 110258. ISSN 1872-7409 doi: https://doi.org/10.1016/j.knosys.2023.110258 (110258)

Maynard, C., Melvin, T. and Mueller, E. (2020) Multigrid preconditioners for the mixed finite element dynamical core of the LFRic atmospheric model. Quarterly Journal of the Royal Meteorological Society, 146 (733). pp. 3917-3936. ISSN 1477-870X doi: https://doi.org/10.1002/qj.3880

Maynard, C. M. and Walters, D. N. (2019) Mixed-precision arithmetic in the ENDGame dynamical core of the Unified model, a numerical weather prediction and climate model code. Computer Physics Communications, 244. pp. 69-75. ISSN 0010-4655 doi: https://doi.org/10.1016/j.cpc.2019.07.002

Millan-Calenti, J.C., Maseda, A., Badii, A., Lorenzo, T., Villanueva, M. and Perez, C. (2009) Telegerontology and mobile robot companion. Korean Journal of Research in Gerontology, 18. pp. 15-35.

Mitchell, R. (2013) Integrating control and electronics. Engineering Education, 8 (2). pp. 2-14. ISSN 1750-0044 doi: https://doi.org/10.11120/ened.2013.00016

Mitchell, R. (2006) Simplifying Bode's maximum available feedback design. International Journal of Electrical Engineering Education, 43 (1). pp. 34-47. ISSN 0020-7209

Mitchell, R. J. (1990) Multi-microprocessor control of processes with pure time delay. Transactions of the Institute of Measurement and Control, 12 (2). pp. 58-64. ISSN 1477-0369 doi: https://doi.org/10.1177/014233129001200201

Mitchell, R. J. and Minchinton, P. R. (1989) A Note on Dividing Integers by Two. Computer Journal, 32 (4). p. 380. ISSN 0010-4620 doi: https://doi.org/10.1093/comjnl/32.4.380

Mitchell, R. J., Bishop, J. M. and Minchinton, P. R. (1996) Optimising memory usage in n-tuple neural networks. Mathematics and Computers in Simulation, 40 (5-6). pp. 549-563. ISSN 0378-4754 doi: https://doi.org/10.1016/0378-4754(95)00006-2

Mitchell, R. J., Bishop, J. M., Keating, D. A. and Dautenhahn, K. (2000) Cybernetic approaches to artificial life. Künstliche Intelligenz, 14 (1). pp. 5-11. ISSN 0933-1875

Mitchell, R. J., Warwick, K., Browne, W. N. L., Gasson, M. N. and Wyatt, J. (2010) Engaging robots: innovative outreach for attracting cybernetics students. IEEE Transactions on Education, 53 (1). pp. 105-113. ISSN 0018-9359 doi: https://doi.org/10.1109/TE.2009.2024932

Mitchell, R.J. (2003) Finding Maximal Cliques using MATLAB. Proceedings of SCARP 2003, Reading, UK. pp. 57-62.

Mitchell, R.J. (2003) Obtaining Maximum Feedback and Desired Phase Margin. Proceedings of IASTED Conference Applied Simulation & Modeling, Marbella, Spain. pp. 146-151.

Mitchell, R.J. (2006) Achieving or exceeding maximum available feedback. Control and Intelligent Systems, 34 (2). 166 - 172. ISSN 1480-1752 doi: https://doi.org/10.2316/Journal.201.2006.2.201-1638

Moin, A., Challenger, M., Badii, A. and Günnemann, S. (2022) Towards model-driven engineering for quantum AI. INFORMATIK 2022, Lecture Notes in Informatics (LNI). pp. 1121-1131. ISSN 1617-5468 doi: https://doi.org/10.18420/inf2022_95

Moin, A. ORCID: https://orcid.org/0000-0002-8484-7836, Challenger, M., Badii, A. and Günnemann, S. (2022) A model-driven approach to machine learning and software modeling for the IoT. Software and Systems Modeling, 21. pp. 987-1014. ISSN 1619-1366 doi: https://doi.org/10.1007/s10270-021-00967-x

Moin, A., Wattanavaekin, U., Lungu, A., Badii, A., Gunnemann, S. and Challenger, M. (2022) Enabling automated machine learning for model-driven AI engineering. IEEE Software. ISSN 1937-4194 (In Press)

Müller, K. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2019) Chess endgame news: the world chess championship, 2018. ICGA Journal, 40 (4). pp. 369-371. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190086

Müller, K. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2019) FinalGen revisited: new discoveries. ICGA Journal, 41 (1). pp. 53-60. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190095

Müller, K. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2020) Stalemate and 'DTS' depth to stalemate endgame tables. ICGA Journal, 41 (4). pp. 191-199. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190133

Nawaz, T., Berg, A., Ferryman, J., Ahlberg, J. and Felsberg, M. (2017) Effective evaluation of privacy protection techniques in visible and thermal imagery. Journal of Electronic Imaging, 26 (5). 051408. ISSN 1017-9909 doi: https://doi.org/10.1117/1.JEI.26.5.051408

Nawaz, T., Ellis, A. and Ferryman, J. (2017) A method for performance diagnosis and evaluation of video trackers. Signal, Image and Video Processing, 11 (7). pp. 1287-1295. ISSN 1863-1703 doi: https://doi.org/10.1007/s11760-017-1086-7

Nawaz, T., Rinner, B. and Ferryman, J. (2016) User-centric, embedded vision-based human monitoring: a concept and a healthcare use case. ICDSC '16 Proceedings of the 10th International Conference on Distributed Smart Camera. pp. 25-30. doi: https://doi.org/10.1145/2967413.2967422 (ISBN: 9781450347860)

Neera, J., Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X, Aslam, N., Wang, K. and Shu, Z. (2023) Private and utility enhanced recommendations with local differential privacy and Gaussian mixture model. IEEE Transactions on Knowledge and Data Engineering, 35 (4). pp. 4151-4163. ISSN 1558-2191 doi: https://doi.org/10.1109/TKDE.2021.3126577

Nurhaida, I., Ayumi, V., Fitrianah, D., Zen, R. A.M., Noprisson, H. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2020) Implementation of deep neural networks (DNN) with batch normalization for batik pattern recognition. International Journal of Electrical and Computer Engineering (IJECE), 10 (2). pp. 2045-2053. ISSN 2088-8708 doi: https://doi.org/10.11591/ijece.v10i2.pp2045-2053

Nurhaida, I., Noprisson, H., Ayumi, V., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Dwika Putra, E., Utami, M. and Setiawan, H. (2020) Implementation of deep learning predictor (LSTM) algorithm for human mobility prediction. International Journal of Interactive Mobile Technologies (IJIM), 14 (18). ISSN 1865-7923 doi: https://doi.org/10.3991/ijim.v14i18.16867

Nurhaida, I., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Zen, R. A. M., Manurung, R. and Arymurthy, A. M. (2016) Texture fusion for batik motif retrieval system. International Journal of Electrical and Computer Engineering (IJECE), 6 (6). pp. 3174-3187. ISSN 2088-8708 doi: https://doi.org/10.11591/ijece.v6i6.12049

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Nicosia, G. (2022) Backpropagation neural tree. Neural Networks, 149. ISSN 0893-6080 doi: https://doi.org/10.1016/j.neunet.2022.02.003

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snášel, V. (2019) Heuristic design of fuzzy inference systems: a review of three decades of research. Engineering Applications of Artificial Intelligence, 85. pp. 845-864. ISSN 0952-1976 doi: https://doi.org/10.1016/j.engappai.2019.08.010

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Jansen, G., Patanè, A., La Magna, A., Romano, V. and Nicosia, G. ORCID: https://orcid.org/0000-0002-0650-3157 (2022) Design and characterization of effective solar cells. Energy Systems, 13. pp. 355-382. ISSN 1868-3967 doi: https://doi.org/10.1007/s12667-021-00451-x

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Pantò, B. and Nicosia, G. (2023) Adaptive search space decomposition method for pre- and post- buckling analyses of space truss structures. Engineering Application of Artificial Intelligence, 117 (B). 105593. ISSN 0952-1976 doi: https://doi.org/10.1016/j.engappai.2022.105593

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Timmis, J. and Nicosia, G. (2022) Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies. Swarm and Evolutionary Computation, 74. 101130. ISSN 2210-6502 doi: https://doi.org/10.1016/j.swevo.2022.101130

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snasel, V. (2017) Metaheuristic design of feedforward neural networks: a review of two decades of research. Engineering Applications of Artificial Intelligence, 60. pp. 97-116. ISSN 0952‐1976 doi: https://doi.org/10.1016/j.engappai.2017.01.013

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snásel, V. (2017) Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming. Applied Soft Computing, 52. pp. 909-924. ISSN 1568-4946 doi: https://doi.org/10.1016/j.asoc.2016.09.035

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Dutta, P. and Chaudhuri, A. (2017) Identifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study. Neural Computing and Applications, 28 (6). pp. 1343-1354. ISSN 0941-0643 doi: https://doi.org/10.1007/s00521-016-2443-0

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Griego, D., Kuliga, S., Bielik, M., Bus, P., Schaeben, C., Treyer, L., Standfest, M., Schneider, S., König, R., Donath, D. and Schmitt, G. (2019) Machine learning approaches to understand the influence of urban environments on human’s physiological response. Information Sciences, 474. pp. 154-169. ISSN 0020-0255 doi: https://doi.org/10.1016/j.ins.2018.09.061

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Jackowski, K., Abraham, A. and Snásel, V. (2015) Dimensionality reduction, and function approximation of poly (lactic-co-glycolic acid) micro-and nanoparticle dissolution rate. International Journal of Nanomedicine, 10 (1). pp. 1119-1129. ISSN 1178-2013 doi: https://doi.org/10.2147/IJN.S71847

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Schiano, S., Wu, C.-Y., Snásel, V. and Abraham, A. (2018) Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree. Neural Computing and Applications, 29 (7). pp. 467-481. ISSN 0941-0643 doi: https://doi.org/10.1007/s00521-016-2545-8

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Snasel, V. and Abraham, A. (2018) Multiobjective programming for type-2 hierarchical fuzzy inference trees. IEEE Transactions on Fuzzy Systems, 26 (2). pp. 915-936. ISSN 1063-6706 doi: https://doi.org/10.1109/TFUZZ.2017.2698399

Padbury, D., McCrindle, R.J. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2006) Perceptive three dimensional interface via stereo observation. International Journal on Disability and Human Development, 5 (3). 295 - 301.

Pascoe, C., Lawrence, B. N. ORCID: https://orcid.org/0000-0001-9262-7860, Guilyardi, E., Juckes, M. and Taylor, K. E. (2020) Documenting numerical experiments in support of the Coupled Model Intercomparison Project Phase 6 (CMIP6). Geoscientific Model Development, 13 (5). pp. 2149-2167. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-13-2149-2020

Patanè, A., Santoro, A., Romano, V., Magna, A. L. and Nicosia, G. (2018) Enhancing quantum efficiency of thin-film silicon solar cells by Pareto optimality. Journal of Global Optimization, 72 (3). pp. 491-515. ISSN 0925-5001 doi: https://doi.org/10.1007/s10898-018-0639-9

Patané, A., Jansen, G., Conca, P., Carapezza, G., Costanza, J. and Nicosia, G. (2019) Multi-objective optimization of genome-scale metabolic models: the case of ethanol production. Annals of Operations Research, 276 (1-2). pp. 211-227. ISSN 0254-5330 doi: https://doi.org/10.1007/s10479-018-2865-4

Patel, R., Mitchell, R.J. and Warwick, K. (2003) Intelligent agents and distributed models for cooperative task support. IEEE SMC UK&RI Chapter Workshop: Cybernetic Intelligence-Challenges and Advances. pp. 73-79.

Patel, R., Mitchell, R.J. and Warwick, K. (2005) Intelligent agents and distributed models for cooperative task support. Kybernetes, 34 (9/10). 1456 - 1468. doi: https://doi.org/10.1108/03684920510614768

Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629 and Ferryman, J. (2014) Multiresolution semantic activity characterisation and abnormality discovery in videos. Applied Soft Computing, 25. pp. 485-495. ISSN 15684946 doi: https://doi.org/10.1016/j.asoc.2014.08.039

Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629, Hubner, M., King, R., Litzenberger, M., Roupioz, L., Michon, K., Szklarski, L., Pegoraro, J., Stoianov, N. and Ferryman, J. (2022) Fusion of heterogenous sensor data in border surveillance. Sensors, 22 (19). 7351. ISSN 1424-8220 doi: https://doi.org/10.3390/s22197351

Pavlopoulou, N., Abushwashi, A., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Scibetta, V. (2017) A text mining framework for Big Data. Expert Update, 17 (1). ISSN 1465-4091 (Special Issue on the 1st BCS SGAI Workshop on Data Stream Mining Techniques and Applications)

Pilato, G., Vassallo, G., Di Fatta, G. and Gaglio, S. (2004) Word mapping in semantic hyperspaces. Atti dell'Accademia di Scienze, Lettere e Arti di Palermo.

Poonpakdee, P. and Di Fatta, G. (2017) Robust and efficient membership management in large-scale dynamic networks. Future Generation Computer Systems, 75. pp. 85-93. ISSN 0167-739X doi: https://doi.org/10.1016/j.future.2017.02.033

Pope, K. N., Holloway, C. E. ORCID: https://orcid.org/0000-0001-9903-8989, Jones, T. R. ORCID: https://orcid.org/0000-0002-7669-1499 and Stein, T. H. M. ORCID: https://orcid.org/0000-0002-9215-5397 (2023) Radiation, clouds, and self-aggregation in RCEMIP simulations. Journal of Advances in Modeling Earth Systems, 15 (2). e2022MS003317. ISSN 1942-2466 doi: https://doi.org/10.1029/2022MS003317

Porikli, F., Bremond, F., Dockstader, S. L., Ferryman, J., Hoogs, A., Lovell, B. C., Pankanti, S., Rinner, B., Tu, P. and Venetianer, P. L. (2013) Video surveillance : past, present, and now the future. Signal Processing Magazine, 30 (3). pp. 190-198. ISSN 1053-5888 doi: https://doi.org/10.1109/MSP.2013.2241312

Porter, J. (2022) Evaluating performance on a bespoke maths game with children with Down syndrome. Journal of Computer Assisted Learning, 38 (5). pp. 1394-1407. ISSN 1365-2729 doi: https://doi.org/10.1111/jcal.12685

Ramadan, B., Christen, P., Liang, H. and Gayler, R. W. (2015) Dynamic sorted neighborhood indexing for real-time entity resolution. Journal of Data and Information Quality, 6 (4). 15. ISSN 1936-1955 doi: https://doi.org/10.1145/2816821

Roberts, P. J., Mitchell, R., Ruiz, V. and Bishop, M. (2014) Classification in e-procurement. International Journal of Applied Pattern Recognition, 1 (3). pp. 298-314. ISSN 2049-8888 doi: https://doi.org/10.1504/IJAPR.2014.065770

Roesch, E. ORCID: https://orcid.org/0000-0002-8913-4173, Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gaber, M. M. (2014) Bigger data for Big Data: from Twitter to brain-computer interface. Behavioral and Brain Sciences, 37 (1). pp. 97-98. ISSN 0140-525X doi: https://doi.org/10.1017/S0140525X13001854

Sandin, L. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2019) The SSDF Chess Engine Rating List, 2019-02. ICGA Journal, 41 (2). 113. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190107

Sandin, L. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2020) The SSDF Chess Engine Rating list, 2019-12. ICGA Journal, 41 (4). p. 267. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190128

Sandin, L. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2019) The SSDF chess engine rating list, 2018-10. ICGA Journal, 40 (4). p. 374. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190085

Sandin, L. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2019) The SSDF rating list, 2019-07. ICGA Journal, 41 (3). p. 177. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190113

Sandin, L. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2020) The SSDF rating list, 2020-07, in memoriam Tony Hedlund. ICGA Journal, 42 (2-3). p. 242. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-200155

Sanromà, G., Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629, Burghouts, G., Schutte, K. and Ferryman, J. (2014) A unified approach to the recognition of complex actions from sequences of zone-crossings. Image and Vision Computing, 32 (5). pp. 363-378. ISSN 0262-8856 doi: https://doi.org/10.1016/j.imavis.2014.02.005

Santoro, A., Latora, V., Nicosia, G. and Nicosia, V. (2018) Pareto optimality in multilayer network growth. Physical Review Letters, 121 (12). 128302. ISSN 0031-9007 doi: https://doi.org/10.1103/PhysRevLett.121.128302

Schmidt, J. F. and Kunkel, J. M. (2016) Predicting I/O performance in HPC using artificial neural networks. Supercomputing Frontiers and Innovations, 3 (3). pp. 19-33. ISSN 2313-8734 doi: https://doi.org/10.14529/jsfi160303

Seeley, J.S., Hawkins, G. J. and Hunneman, R. (1988) Performance model for cooled IR filters. Journal of Physics D: Applied Physics, 21 (10S). S71-S74. doi: https://doi.org/10.1088/0022-3727/21/10S/020

Senior, C. A., Jones, C. G., Wood, R. A., Sellar, A., Belcher, S., Klein‐Tank, A., Sutton, R. ORCID: https://orcid.org/0000-0001-8345-8583, Walton, J., Lawrence, B. ORCID: https://orcid.org/0000-0001-9262-7860, Andrews, T. and Mulcahy, J. P. (2020) UK community Earth system modelling for CMIP6. Journal of Advances in Modeling Earth Systems, 12 (9). e2019MS002004. ISSN 1942-2466 doi: https://doi.org/10.1029/2019MS002004

Shakir Hammoodi, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Tennant, M. and Badii, A. (2017) Towards real-time feature tracking technique using adaptive micro-clusters. Expert Update, 17 (1). ISSN 1465-4091 (Special Issue on the 1st BCS SGAI Workshop on Data Stream Mining Techniques and Applications)

Shi, D., Gao, J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Choy, S. T. B. and Wang, Z. (2021) Coupling matrix manifolds assisted optimization for optimal transport problems. Machine Learning, 110. pp. 533-558. ISSN 1573-0565 doi: https://doi.org/10.1007/s10994-020-05931-2

Silipo, R. and Di Fatta, G. (2001) Learning to reason about data. Intelligent Data Analysis, 5 (5). pp. 439-442. ISSN 1571-4128 (Online)

Skounakis, E., Banitsas, K., Badii, A., Tzoulakis, S., Maravelakis, E. and Konstantaras, A. (2014) ATD: a multiplatform for semiautomatic 3-D detection of kidneys and their pathology in real time. IEEE Transactions on Human-Machine Systems, 44 (1). pp. 146-153. ISSN 2168-2291 doi: https://doi.org/10.1109/THMS.2013.2290011

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Badii, A. (2020) Building adaptive data mining models on streaming data in real-time. Expert Update, 20 (2). ISSN 1465-4091 doi: https://doi.org/10.7148/2018-0008

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2012) Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks. Knowledge-Based Systems, 35. pp. 49-63. ISSN 0950-7051 doi: https://doi.org/10.1016/j.knosys.2012.04.014

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2012) Jmax-pruning: a facility for the information theoretic pruning of modular classification rules. Knowledge-Based Systems, 29. pp. 12-19. ISSN 0950-7051 doi: https://doi.org/10.1016/j.knosys.2011.06.016

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2014) Random Prism: a noise-tolerant alternative to Random Forests. Expert Systems, 31 (5). pp. 411-420. ISSN 1468-0394 doi: https://doi.org/10.1111/exsy.12032 (special issue on innovative techniques and applications of artificial intelligence)

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2012) Scaling up classification rule induction through parallel processing. Knowledge Engineering Review. pp. 243-259. ISSN 1469-8005 doi: https://doi.org/10.1017/S0269888912000355

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Jordanov, I. (2012) An overview of the use of neural networks for data mining tasks. WIREs: Data Mining and Knowledge Discovery, 2 (3). pp. 193-208. ISSN 1942-4795 doi: https://doi.org/10.1002/widm.1052

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Gabrys, B., Gaber, M. M. and Berendsen, M. (2013) An overview of interactive visual data mining techniques for knowledge discovery. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 3 (4). pp. 239-256. ISSN 1942-4795 doi: https://doi.org/10.1002/widm.1093

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Le, T., Badii, A. and Gaber, M. M. (2021) A frequent pattern conjunction Heuristic for rule generation in data streams. Information, 12 (1). 24. ISSN 2078-2489 doi: https://doi.org/10.3390/info12010024

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, May, D., Mills, H., Bramer, M. and Gaber, M. M. (2015) A scalable expressive ensemble learning using Random Prism: a MapReduce approach. Transactions on Large-Scale Data- and Knowledge-Centered Systems, 9070. pp. 90-107. doi: https://doi.org/10.1007/978-3-662-46703-9_4 (LNCS)

Stojanović, B., Božić, J. ORCID: https://orcid.org/0000-0001-6086-8846, Hofer-Schmitz, K. ORCID: https://orcid.org/0000-0001-9995-7539, Nahrgang, K., Weber, A., Badii, A., Sundaram, M., Jordan, E. and Runevic, J. (2021) Follow the trail: machine learning for fraud detection in Fintech applications. Sensors, 21 (5). e1594. ISSN 1424-8220 doi: https://doi.org/10.3390/s21051594

Stolberg-Rohr, T. and Hawkins, G. J. (2015) Spectral design of temperature-invariant narrow bandpass filters for the mid-infrared. Optics Express, 23 (1). pp. 580-596. ISSN 1094-4087 doi: https://doi.org/10.1364/OE.23.000580

Sullivan, G.D., Baker, K. and Anderson, J. A. D. W. (1985) Use of multiple difference-of-gaussian filters to verify geometric models. Image and Vision Computing, 3 (4). pp. 192-197. ISSN 0262-8856 doi: https://doi.org/10.1016/0262-8856(85)90007-1

Sun, L. and Ousmanou, K. (2006) Articulation of information requirements for personalised knowledge and construction. Journal of Requirements Engineering, 11 (4). pp. 279-293. doi: https://doi.org/10.1007/s00766-006-0031-z

Sun, L. and Fu, Y. (2005) Interoperability for eLearning Service Management and Provision. World Wide Web, 8 (4). pp. 395-412. ISSN 1573-1413 doi: https://doi.org/10.1007/s11280-005-1320-3

Sun, L. and Liu, K. (2001) A method for interactive articulation of information requirements for strategic decision support. Information and Software Technology, 43 (4). pp. 247-263. ISSN 0950-5849 doi: https://doi.org/10.1016/S0950-5849(00)00164-6

Sun, L. and Mushi, C. (2010) Case-based analysis in user requirements modelling for knowledge construction. Information and Software Technology, 52 (7). pp. 770-777. ISSN 0950-5849 doi: https://doi.org/10.1016/j.infsof.2010.03.010

Sun, L., Fu, Y., Williams, S. and Sun, T. (2004) e-learning services provision and management. Lecture Notes in Computer Science, 3143. pp. 209-216. ISSN 0302-9743 3-540-22542-0

Sun, L., Liu, K., Jambari, D. I. and Michell, V. (2016) Evaluating business value of IT towards optimisation of the application portfolio. Enterprise Information Systems, 10 (4). pp. 378-399. ISSN 1751-7575 doi: https://doi.org/10.1080/17517575.2014.939106

Sun, L., Lubega, J. and Williams, S. A. (2004) Design for a Learner-Oriented Tracking. Lecture Notes In Computer Science, 3143. pp. 155-164. ISSN 0302-9743

Sun, L., Osmanou, K. and Williams, S. A. (2004) Articulation of Learners Requirements for Personalised Instructional Design in E-Learning Services. Lecture Notes In Computer Science. pp. 142-151. ISSN 0302-9743

Sun, L., Ousmanou, K. and Cross, M. (2010) An ontological modelling of user requirements for personalised information provision. Information Systems Frontiers, 12 (3). pp. 337-356. ISSN 1572-9419 doi: https://doi.org/10.1007/s10796-008-9144-x

Sun, L., Yamin, M., Mushi, C., Liu, K., Alsaigh, M. and Chen, F. (2014) Information analytics for healthcare service discovery. Journal of Healthcare Engineering, 5 (4). pp. 457-478. ISSN 2040-2295 doi: https://doi.org/10.1260/2040-2295.5.4.457

Sun, Y., Gao, J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Mishra, B. and Yin, B. (2016) Heterogeneous tensor decomposition for clustering via manifold optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38 (3). pp. 476-489. ISSN 0162-8828 doi: https://doi.org/10.1109/TPAMI.2015.2465901

Sun, Z., Ding, Y., Pei, K. and Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 (2023) Contradictions of identification of safety and security requirements for industrial cyber-physical systems. IEEE Internet of Things. ISSN 2327-4662 doi: https://doi.org/10.1109/JIOT.2023.3332128

Swain, M., Silva, C. G., Loureiro-Ferreira, N., Ostropytskyy, V., Brito, J., Riche, O., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Dubitzky, W. and Brito, R. M. M. (2010) P-found: grid-enabling distributed repositories of protein folding and unfolding simulations for data mining. Future Generation Computer Systems, 26 (3). pp. 424-433. ISSN 0167-739X doi: https://doi.org/10.1016/j.future.2009.08.008

Swanston, D. J., Bishop, J. M. and Mitchell, R. J. (1994) Simple adaptive momentum: new algorithm for training multilayer perceptrons. Electronics Letters, 30 (18). pp. 1498-1500. ISSN 0013-5194 doi: https://doi.org/10.1049/el:19941014

Tan, C., Liu, K. and Sun, L. (2013) A design of evaluation method for SaaS in cloud computing. Journal of Industrial Engineering and Management, 6 (1). pp. 50-72. ISSN 2013-8423 doi: https://doi.org/10.3926/jiem.661

Taylor, J. A., Crowe, S., Espuny Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Franklin, R. C., Feltbower, R. G., Norman, L. J., Doidge, J., William Gould, D. and Pagel, C. (2021) The road to hell is paved with good intentions: the experience of applying for national data for linkage and suggestions for improvement. BMJ Open, 11 (8). e047575. ISSN 2044-6055 doi: https://doi.org/10.1136/bmjopen-2020-047575

Taylor, S. ORCID: https://orcid.org/0009-0009-3408-340X, Linton, C. ORCID: https://orcid.org/0000-0002-9900-7274, Biggs, J. and Holderbaum, W. ORCID: https://orcid.org/0000-0002-1677-9624 (2024) Time parametrized motion planning. Mathematics, 12 (21). 3404. ISSN 2227-7390 doi: https://doi.org/10.3390/math12213404

Tennant, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Rana, O. and Gomes, J. B. (2017) Scalable real-time classification of data streams with concept drift. Future Generation Computer Systems, 75. pp. 187-199. ISSN 0167-739X doi: https://doi.org/10.1016/j.future.2017.03.026

Theocharous, E., Hawkins, G. and Fox, N. P. (2005) Reversible ageing effects in cryogenically cooled infrared filter radiometers. Infrared Physics & Technology, 46 (4). pp. 339-349. ISSN 1350-4495 doi: https://doi.org/10.1016/j.infrared.2004.06.002

Thirde, D., Borg, M., Aguilera, J., Wildenauer, H., Ferryman, J. and Kampel, M. (2007) Robust real-time tracking for visual surveillance. Eurasip Journal on Advances in Signal Processing, 2007. 96568 . ISSN 1110-8657 doi: https://doi.org/10.1155/2007/96568

Thorne, T. (2018) Approximate inference of gene regulatory network models from RNA-Seq time series data. BMC Bioinformatics, 19. 127. ISSN 1471-2105 doi: https://doi.org/10.1186/s12859-018-2125-2

Thorne, T. (2015) Empirical likelihood tests for nonparametric detection of differential expression from RNA-seq data. Statistical Applications in Genetics and Molecular Biology, 14 (6). pp. 575-583. ISSN 2194-6302 doi: https://doi.org/10.1515/sagmb-2015-0095

Thorne, T. (2016) NetDiff – Bayesian model selection for differential gene regulatory network inference. Scientific Reports, 6 (1). 39224. ISSN 2045-2322 doi: https://doi.org/10.1038/srep39224

Thorne, T., Fratta, P., Hanna, M. G., Cortese, A., Plagnol, V., Fisher, E. M. and Stumpf, M. P. H. (2013) Graphical modelling of molecular networks underlying sporadic inclusion body myositis. Molecular Biosystems, 9 (7). pp. 1736-1742. ISSN 1742-206X doi: https://doi.org/10.1039/c3mb25497f

Tlija, A., Istrate, D., Badii, A., Gattoufi, S., Bennani, A.-e. and Wegrzyn-Wolska, K. (2019) Stress level classification using heart rate variability. Advances in Science, Technology and Engineering Systems Journal, 4 (3). pp. 38-46. ISSN 2415-6698 doi: https://doi.org/10.25046/aj040306

Tomás, D., Gutiérrez, Y., Badii, A., Tiemann, M. and Aisopos, F. (2019) Socialising around media. Improving the second screen experience through semantic analysis, context awareness and dynamic communities. Multimedia Tools and Applications, 78 (18). pp. 25539-25568. ISSN 1573-772 doi: https://doi.org/10.1007/s11042-019-7706-1

Torres, R., Kunkel, J. M., Dolz, M. F. and Ludwig, T. (2019) A similarity study of I/O traces via string kernels. The Journal of Supercomputing, 75 (12). pp. 7814-7826. ISSN 0920-8542 doi: https://doi.org/10.1007/s11227-018-2471-x

Treffers-Daller, J. ORCID: https://orcid.org/0000-0002-6575-6736, Parslow, P. and Williams, S. (2018) Back to basics: how measures of lexical diversity can help discriminate between CEFR levels. Applied Linguistics, 39 (3). pp. 302-327. ISSN 1477-450X doi: https://doi.org/10.1093/applin/amw009

Uddin, S., Nawaz, T., Ferryman, J., Rashid, N., Asaduzzaman, M. and Nawaz, R. (2024) Skeletal keypoint-based transformer model for human action recognition in aerial videos. IEEE Access, 12. pp. 11095-11103. ISSN 2169-3536 doi: https://doi.org/10.1109/ACCESS.2024.3354389

Valera, M., Velastin, S.A., Ellis, A. and Ferryman, J. (2011) Communication mechanisms and middleware for distributed video surveillance. IEEE Transactions on Circuits and Systems for Video Technology, 21 (12). pp. 1795-1809. ISSN 1051-8215 doi: https://doi.org/10.1109/TCSVT.2011.2133850

Van Bulck, D., Goossens, D., Clarner, J.-P., Dimitsas, A., Fonseca, G. H. G., Lamas-Fernandez, C., Lester, M. M. ORCID: https://orcid.org/0000-0002-2323-1771, Pedersen, J., Phillips, A. E. and Rosati, R. M. (2024) Which algorithm to select in sports timetabling? European Journal of Operational Research, 318 (2). pp. 575-591. ISSN 0377-2217 doi: https://doi.org/10.1016/j.ejor.2024.06.005

Vandaele, R., Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Deep learning for automated river-level monitoring through river camera images: an approach based on water segmentation and transfer learning. Hydrology and Earth System Sciences, 25 (8). pp. 4435-4453. ISSN 1027-5606 doi: https://doi.org/10.5194/hess-25-4435-2021

Vandaele, R. ORCID: https://orcid.org/0000-0002-0693-8011, Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2023) Calibrated river-level estimation from river cameras using convolutional neural networks. Environmental Data Science, 2. e11. ISSN 2634-4602 doi: https://doi.org/10.1017/eds.2023.6

Varzandian, A., Razo, M. A. S., Sanders, M. R., Atmakuru, A. and Di Fatta, G. (2021) Classification-biased apparent brain age for the prediction of Alzheimer's disease. Frontiers in Neuroscience, 15. 673120. ISSN 1662-453X doi: https://doi.org/10.3389/fnins.2021.673120

Vassallo, G., Pilato, G., Di Fatta, G. and Gaglio, S. (2004) Sub-symbolic encoding of words in WordNet environment. Atti dell'Accademia di Scienze, Lettere e Arti di Palermo.

Vizcaino, N. and Manjunathaiah, M. (2015) Software evolution: a graph based model. Lecture notes on software engineering, 3 (3). pp. 164-167. ISSN 2301-3559 doi: https://doi.org/10.7763/LNSE.2015.V3.183

Wairagkar, M., McCrindle, R., Robson, H., Meteyard, L., Sperrin, M., Smith, A. and Pugh, M. (2017) MaLT - combined motor and language therapy tool for brain injury patients using Kinect. Methods of Information in Medicine, 56 (2). pp. 127-137. ISSN 2511-705X doi: https://doi.org/10.3414/ME16-02-0015

Wakeham, S., Hawkins, G., Henderson, G. and Carthey, N. (2008) Investigation of tin-based alternatives for cadmium in optoelectronic thin-films materials. Applied Optics, 47 (13). C206-C213. ISSN 0003-6935 doi: https://doi.org/10.1364/AO.47.00C206

Wang, Q., Cui, M. and Liang, H. (2015) Semantic-aware blocking for entity resolution. IEEE Transactions on Knowledge and Data Engineering, 28 (1). pp. 166-180. ISSN 1558-2191 doi: https://doi.org/10.1109/TKDE.2015.2468711

Wang, T., Zhuang, L., Kunkel, J., Xiao, S. and Zhao, C. (2020) Parallelization and I/O performance optimization of a global nonhydrostatic dynamical core using MPI. Computers, Materials & Continua, 63 (3). pp. 1399-1413. ISSN 1546-2226 doi: https://doi.org/10.32604/cmc.2020.09701

Wang, X., LI, Y., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Liu, F. (2015) An ASIFT-based local registration method for satellite imagery. Remote Sensing, 7 (6). pp. 7044-7061. ISSN 2072-4292 doi: https://doi.org/10.3390/rs70607044

Wang, X., Li, Y., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Jia, G. and Liu, F. (2015) Evaluation of positioning error-induced pixel shifts on satellite linear push-broom imagery. Journal of Applied Remote Sensing, 9 (1). 095061. ISSN 1931-3195 doi: https://doi.org/10.1117/1.JRS.9.095061

Wang, X., Zhang, X. ORCID: https://orcid.org/0000-0002-2831-5747, Pedrycz, W. ORCID: https://orcid.org/0000-0002-9335-9930, Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 and Boutat, D. ORCID: https://orcid.org/0000-0001-6026-5674 (2024) Consensus of T-S fuzzy fractional-order, singular perturbation, multi-agent systems. Fractal and Fractional, 8 (9). 523. ISSN 2504-3110 doi: https://doi.org/10.3390/fractalfract8090523

Warwick, K., Kang, Y. -H. and Mitchell, R. J. (1999) Genetic least squares for system identification. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 3 (4). pp. 200-205. ISSN 1432-7643 doi: https://doi.org/10.1007/s005000050070

Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Yang, F. (2013) Fusion of infrared polarization and intensity images using support value transform and fuzzy combination rules. Infrared Physics & Technology, 60. pp. 235-243. ISSN 1350-4495 doi: https://doi.org/10.1016/j.infrared.2013.05.008

Wen, P. C., Wang, X. J. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2010) Modified level set method with Canny operator for image noise removal. Chinese Optics Letters, 8 (12). pp. 1127-1130. ISSN 1671-7694

Wild, P., Radu, P., Chen, L. and Ferryman, J. (2016) Robust multimodal face and fingerprint fusion in the presence of spoofing attacks. Pattern Recognition, 50. pp. 17-25. ISSN 0031-3203 doi: https://doi.org/10.1016/j.patcog.2015.08.007

Wild, P., Hofbauer, H., Ferryman, J. and Uhl, A. (2016) Quality-based iris segmentation-level fusion. EURASIP Journal on Information Security, 2016. 25. ISSN 1687-417X doi: https://doi.org/10.1186/s13635-016-0048-x

Williams, S. A., Fleming, S. C., Lundqvist, K. O. and Parslow, P. N. (2010) Understanding your digital identity. Learning Exchange, 1 (1). ISSN 2043-6602

Williams, S. A., Lundqvist, K. and Parslow, P. (2013) RedGloo: Experiences of developing and using an emerging technology in higher education. British Journal of Educational Technology, 44 (4). pp. 668-672. ISSN 1467-8535 doi: https://doi.org/10.1111/bjet.12055

Wilson, J. G. and Mitchell, R. J. (2000) Object detecting artificial retina. Kybernetes, 29 (1-2). pp. 31-52. ISSN 0368-492X doi: https://doi.org/10.1108/03684920010308835

Wilson, P. A., Harris, C. J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2003) A line of sight counteraction navigation algorithm for ship encounter collision avoidance. Journal of Navigation, 56 (1). pp. 111-121.

Wolf, M., van den Berg, K., Garaba, S. P., Gnann, N., Sattler, K., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Zielinski, O. (2020) Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC–Q). Environmental Research Letters, 15 (11). 114042. ISSN 1748-9326 doi: https://doi.org/10.1088/1748-9326/abbd01

Wu, F., Wang, X., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Liu, J., Liu, F. and Yang, J. (2016) Panoramic mosaics from Chang’E-3 PCAM images at Point A. Remote Sensing, 8 (10). 812. ISSN 2072-4292 doi: https://doi.org/10.3390/rs8100812

Wu, F., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Wang, X. (2017) Correction of image radial distortion based on division model. Optical Engineering, 56 (1). 013108. ISSN 1560-2303 doi: https://doi.org/10.1117/1.OE.56.1.013108

Wu, J., Meng, Q., Deng, S., Huang, H., Wu, Y. and Badii, A. (2017) Generic, network schema agnostic sparse tensor factorization for single-pass clustering of heterogeneous information networks. PLoS ONE, 12 (2). e0172323. ISSN 1932-6203 doi: https://doi.org/10.1371/journal.pone.0172323

Xia, G., Wang, X. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2013) An effective approach for selection of terrain modelling method. IEEE Geoscience and Remote Sensing Letters, 10 (4). pp. 875-879. ISSN 1545-598X doi: https://doi.org/10.1109/LGRS.2012.2226429

Yang, F., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Feng, P. (2020) A hierarchical Dempster-Shafer evidence combination framework for urban area land cover classification. Measurement, 151. 105916. ISSN 0263-2241 doi: https://doi.org/10.1016/j.measurement.2018.09.058

Yang, J., Wang, H., Lu, W., Li, B., Badii, A. and Meng, Q. (2017) A no-reference optical flow-based quality evaluator for stereoscopic videos in curvelet domain. Information Sciences, 414. pp. 133-146. ISSN 0020-0255 doi: https://doi.org/10.1016/j.ins.2017.05.051

Zaznov, I. ORCID: https://orcid.org/0000-0003-1229-5515, Kunkel, J., Dufour, A. ORCID: https://orcid.org/0000-0003-0519-648X and Badii, A. (2022) Predicting stock price changes based on the limit order book: a survey. Mathematics, 10 (8). 1234. ISSN 2227-7390 doi: https://doi.org/10.3390/math10081234

Zaznov, I., Kunkel, J. M., Badii, A. and Dufour, A. ORCID: https://orcid.org/0000-0003-0519-648X (2024) The intraday dynamics predictor: a TrioFlow Fusion of Convolutional Layers and Gated Recurrent Units for high-frequency price movement forecasting. Applied Sciences, 14 (7). 2984. ISSN 2076-3417 doi: https://doi.org/10.3390/app14072984

Zhang, F., Hong, S., Ding, Y. and Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 (2024) Ultra-wideband-based real-time positioning with cascaded wireless clock synchronization method. IEEE Internet of Things. ISSN 2327-4662 doi: https://doi.org/10.1109/JIOT.2024.3356117

Zhang, J., Chen, H., Chen, S. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2019) An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring. IEEE Transactions on Cybernetics, 49 (1). pp. 198-210. ISSN 2168-2267 doi: https://doi.org/10.1109/TCYB.2017.2771229

Zhang, J., Chen, M. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2023) Monitoring multimode nonlinear dynamic processes: an efficient sparse dynamic approach with continual learning ability. IEEE Transactions on Industrial Informatics, 19 (7). pp. 8029-8038. ISSN 1941-0050 doi: https://doi.org/10.1109/TII.2022.3215971

Zhang, J., Chen, M. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2021) Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings. Neurocomputing, 458. pp. 319-326. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2021.06.039

Zhang, J., Chen, M., Chen, H., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Zhou, D. (2019) Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation. Industrial & Engineering Chemistry Research, 58 (14). pp. 5579-5587. ISSN 1520-5045 doi: https://doi.org/10.1021/acs.iecr.8b05875

Zhang, J., Wei, H., Zhang, K., Xiao, J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2025) An efficient multimodal attentional principal component analysis for continual learning-based dynamic process monitoring. Neurocomputing, 611. 128642. ISSN 1872-8286 doi: https://doi.org/10.1016/j.neucom.2024.128642

Zhang, J., Xiao, J., Chen, M. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2023) Multimodal continual learning for process monitoring: a novel weighted canonical correlation analysis with attention mechanism. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-237X doi: https://doi.org/10.1109/TNNLS.2023.3331732

Zhang, J., Zhou, D., Chen, M. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2023) Continual learning for multimode dynamic process monitoring with applications to an ultra–supercritical thermal power plant. IEEE transactions on Automation Science and Engineering, 20 (1). pp. 137-150. ISSN 1558-3783 doi: https://doi.org/10.1109/TASE.2022.3144288

Zhang, J., Zhou, D., Chen, M. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2023) Continual learning-based probabilistic slow feature analysis for monitoring multimode nonstationary processes. IEEE Transactions on Automation Science and Engineering. ISSN 1558-3783 doi: https://doi.org/10.1109/TASE.2022.3219125

Zhang, K. Q., Hunneman, R., Seeley, J. S. and Hawkins, G. J. (1990) Investigation of ultra wideband multi-channel dichroic beamsplitters from 0.3 to 52µm. Infrared Physics & Technology, 30 (1). pp. 45-53. ISSN 1350-4495 doi: https://doi.org/10.1016/0020-0891(90)90040-3

Zhang, L. ORCID: https://orcid.org/0009-0003-4785-3801, Wang, Q.-G. ORCID: https://orcid.org/0000-0002-3672-3716 and Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 (2023) Partial and full detection of source terms. IEEE Transactions on Circuits and Systems II: Express Briefs. ISSN 1558-3791 doi: https://doi.org/10.1109/tcsii.2023.3311814

Zhao, L., Chen, J., Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X, Xia, M. and Lin, H. (2024) MFPANet: multi-scale feature perception and aggregation network for high-resolution snow depth estimation. Remote Sensing, 16 (12). 2087. ISSN 2072-4292 doi: https://doi.org/10.3390/rs16122087

Zheng, A. M., Seeley, J. S., Hunneman, R. and Hawkins, G. J. (1991) Design of narrowband filters in the infrared region. Infrared Physics and Technology, 31 (3). pp. 237-244. ISSN 1350-4495 doi: https://doi.org/10.1016/0020-0891(91)90053-I

Zheng, A. M., Seeley, J. S., Hunneman, R. and Hawkins, G. J. (1992) Ultra narrow filters with good performance when tilted and cooled. Applied Optics, 31 (22). pp. 4336-4338. ISSN 2155-3165 doi: https://doi.org/10.1364/AO.31.004336

Zhou, K., Wang, X., Wang, Z., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Yin, L. (2018) Complete initial solutions for iterative pose estimation from planar objects. IEEE Access, 6. pp. 22257-22266. ISSN 2169-3536 doi: https://doi.org/10.1109/ACCESS.2018.2827565

Zhou, K., Wang, X., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Yin, L., Wan, Z. and Wang, Z. (2018) Modelling and calibration of a precise optical positioning system based on four linear cameras. Applied Optics, 57 (19). pp. 5538-548. ISSN 0003-6935 doi: https://doi.org/10.1364/AO.57.005538

Zhou, Y., Jiang, J., Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009, He, L., Ding, Y., Liu, K., Zhu, G. and Qing, Y. (2023) A data distillation enhanced autoencoder for detecting anomalous gas consumption. IEEE Internet of Things. ISSN 2327-4662 doi: https://doi.org/10.1109/JIOT.2023.3296538

Zhou, Y., Liu, C., Ding, Y., Yuan, D., Yin, J. and Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 (2024) Crowd descriptors and interpretable gathering understanding. IEEE Transactions on Multimedia. ISSN 1941-0077 doi: https://doi.org/10.1109/TMM.2024.3381040

Zhu, M. and Badii, A. (2007) Collaterally cued labelling framework underpinning semantic-level visual content descriptor. Lecture Notes in Computer Science, 4781. pp. 379-390. ISSN 0302-9743 978-3-540-76413-7 doi: https://doi.org/10.1007/978-3-540-76414-4

Zhu, M. and Badii, A. (2007) Semantic-associative visual content labelling and retrieval: A multimodal approach. Signal Processing-Image Communication, 22 (6). pp. 569-582. ISSN 0923-5965 doi: https://doi.org/10.1016/j.image.2007.05.011

Zliobaite, I., Budka, M. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2015) Towards cost-sensitive adaptation: when is it worth updating your predictive model? Neurocomputing, 150 (A). pp. 240-249. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2014.05.084

Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2003) A combined algorithm using support vector machines and orthogonal forward regression with PRESS statistic. The 2003 UK Workshop on Computational Intelligence. pp. 315-319.

Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2005) Nonlinear channel equalizer design using directional evolutionary multi-objective optimization. International Journal of Systems Science, 36 (12). pp. 737-755. ISSN 0020-7721 doi: https://doi.org/10.1080/00207720500218908

Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2005) On improvement of classification accuracy for stochastic discrimination. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 35 (1). pp. 142-149. ISSN 1083-4419 doi: https://doi.org/10.1109/tsmcb.2004.839908

Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2007) A forward constrained selection algorithm for probabilistic neural network. Lecture Notes in Computer Science, 4492. pp. 699-704. ISSN 0302-9743 9783540723929

Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2007) A multi-level probabilistic neural network. Lecture Notes in Computer Science, 4492. pp. 516-525. ISSN 0302-9743 9783540723929

dos Reis, T. S. and Anderson, J. (2015) Transreal calculus. IAENG International Journal of Applied Mathematics, 45 (1). pp. 51-63. ISSN 1992-9986

van der Schaaf, M., Donkers, J., Slof, B., Moonen-van Loon, J., van Tartwijk, J., Driessen, E., Badii, A., Serban, O. and Ten Cate, O. (2017) Improving workplace-based assessment and feedback by an E-portfolio enhanced with learning analytics. Educational Technology Research and Development, 65 (2). pp. 359-380. ISSN 1556-6501 doi: https://doi.org/10.1007/s11423-016-9496-8

Žurauskienė, J., Kirk, P., Thorne, T. and Stumpf, M. P. H. (2014) Bayesian non-parametric approaches to reconstructing oscillatory systems and the Nyquist limit. Physica A: Statistical Mechanics and its Applications, 407. pp. 33-42. ISSN 0378-4371 doi: https://doi.org/10.1016/j.physa.2014.03.069

Žurauskienė, J., Kirk, P., Thorne, T., Pinney, J. and Stumpf, M. (2014) Derivative processes for modelling metabolic fluxes. Bioinformatics, 30 (13). pp. 1892-1898. ISSN 1460-2059 doi: https://doi.org/10.1093/bioinformatics/btu069

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Adderley, R., Badii, A. and Wu, C. (2008) The automatic identification and prioritisation of criminal networks from police crime data. In: OrtizArroyo, D., Larsen, H.L., Zeng, D.D., Hicks, D. and Wagner, G. (eds.) Intelligence and security informatics, proceedings. Springer-Verlag, Berlin, 5–14. ISBN 9783540898993

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Baker, T., Hussien, A. and Cotgrave, A. (2020) UAV and fog computing for IoE-based systems: a case study on environment disasters prediction and recovery plans. In: Al-Turjman, F. (ed.) Unmanned aerial vehicles in smart cities. Unmanned system technologies. Springer, Cham, pp. 133-152. ISBN 9783030387112 doi: https://doi.org/10.1007/978-3-030-38712-9_8

Almutairi, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2017) Improving modular classification rule induction with G-Prism using dynamic rule term boundaries. In: Bramer, M. and Petridis, M. (eds.) Artificial Intelligence XXXIV. Lecture Notes in Computer Science (10630). Springer, pp. 115-128. ISBN 9783319710785 doi: https://doi.org/10.1007/978-3-319-71078-5_9

Anderson, J. A. D. W. (1993) Canonical description of the perspective projections. In: Melter, R. A. and Wu, A. Y. (eds.) Vision Geometry. SPIE Proceedings (1832). SPIE Press, Bellingham, WA, pp. 300-311. ISBN 9780819410337 doi: https://doi.org/10.1117/12.142179

Anderson, J. A. D. W. and Sweby, P. K. ORCID: https://orcid.org/0009-0003-8488-0251 (2002) Exact computation in numerical linear algebra: the Discrete Fourier Transform. In: Toro, E. F. (ed.) Godunov methods: theory and applications. Springer, New York, pp. 61-67. ISBN 9780306466014

Anderson, J.A.D.W. (2008) Perspex machine XI: topology of the transreal numbers. In: IMECS 2008: international multiconference of engineers and computer scientists. International Association of Engineers, Hong Kong, pp. 330-338. ISBN 9789889867188

Aplin, K. L., Bennett, A. J., Harrison, R. G. and Houghton, I. M. P. (2016) Electrostatics and in situ sampling of volcanic plumes. In: Mackie, S., Cashman, K., Ricketts, H., Rust, A. and Watson, M. (eds.) Volcanic Ash. Elsevier, pp. 99-113. ISBN 9780081004050 doi: https://doi.org/10.1016/B978-0-08-100405-0.00010-0

Assaf, O., Di Fatta, G. and Nicosia, G. (2022) Multivariate LSTM for stock market volatility prediction. In: Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Jansen, G., Pardalos, P. M., Giuffrida, G. and Umeton, R. (eds.) Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers. Lecture Notes in Computer Science, II (13164). Springer, pp. 531-544. ISBN 978303954697 doi: https://doi.org/10.1007/978-3-030-95470-3_40

Babtie, A. C., Stumpf, M. P. H. and Thorne, T. (2019) Gene regulatory network inference. In: Voit, E. (ed.) Reference Module in Biomedical Sciences. Elsevier. doi: https://doi.org/10.1016/B978-0-12-801238-3.11346-7

Badii, A., Fuschi, D., Khan, A. and Adetoye, A. (2009) Accessibility-by-design: a framework for delivery-context-aware personalised media content re-purposing. In: Holzinger, A. and Miesenberger, K. (eds.) HCI and usability for e-inclusion, proceedings. Lecture notes in computer science, 5889. Springer-Verlag, Berlin, pp. 209-226. ISBN 9783642103070

Badii, A., Kolomiyets, O., Lallah, C., Khan, A., Zhu, M. and Gardiner-Jones, B. (2007) State-of-the-art for entity-centric repository and authoring environment for multimedia. In: Lang, C., Li, X., Han, Z. and Gay, R. K. L. (eds.) Lecture Notes in Signal Science, Internet and Education. Electrical and Computer Engineering. World Scientific and Engineering Acad and Soc, Athens, pp. 226-232. ISBN 9789606766060

Badii, A., Lallah, C., Kolomiyets, O., Zhu, M. and Crouch, M. (2008) Semi-automatic annotation and retrieval of visual content using the topic map technology. In: Proceedings of the 1st Wseas International Conference on Visualization, Imaging and Simulation. Mathematics and Computers in Science and Engineering. World Scientific and Engineering Acad and Soc, Athens, pp. 77-82. ISBN 9789604740222

Badii, A., Lallah, C., Zhu, M. and Crouch, M. (2009) The DREAM Framework: using a network of scalable ontologies for intelligent indexing and retrieval of visual content. In: BaezaYates, R., Berendt, B., Bertino, E., Lim, E. P. and Pasi, G. (eds.) 2009 IEEE/Wic/Acm International Joint Conferences on Web Intelligence. IEEE Computer Soc, Los Alamitos, pp. 551-554. ISBN 9781424453313

Badii, A., Sailor, M. and Nair, R. R. (2006) Profiling management for personalised multimedia delivery on-demand within the AXMEDIS framework. In: Ng, K., Badii, A. and Bellini, P. (eds.) AXMEDIS 2006: Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution, Proceedings. IEEE, Los Alamitos, pp. 35-42. ISBN 9780769526256

Badii, A., Sailor, M., Marangoni, C., Neglia, A. and Pearce, L. (2005) Object life cycles & interaction environments for cross media production & distribution. In: Nesi, P., Ng, K. and Delgado, J. (eds.) First International Conference on Automated Production of Cross Media Content for Multi-channel Distribution, Proceedings. IEEE Computer Soc, Los Alamitos, pp. 279-286. ISBN 076952348X

Badii, A., Sailor, M., Marangoni, C., Neglia, A. and Pearce, L. (2005) Workflow data exchange semantics, object discovery & integration architecture for cross media production & distribution. In: Nesi, P., Ng, K. and Delgado, J. (eds.) First International Conference on Automated Production of Cross Media Content for Multi-channel Distribution, Proceedings. IEEE , Los Alamitos, pp. 101-108. ISBN 076952348X

Bankovic, Z., Bojanic, S., Nieto, O. and Badii, A. (2008) Unsupervised genetic algorithm deployed for intrusion detection. In: Hybrid artificial intelligence systems. Lecture notes in computer science, 5271. Springer-Verlag, Berlin, 132-139 . ISBN 9783540876557 doi: https://doi.org/10.1007/978-3-540-87656-4_17

Barillot, M., Barthelemy, E., Broquin, J.E., Frayret, J., Grelin, J., Hawkins, G., Kirschner, V., Parent, G., Pradel, A., Rossi, E., Vigreux, C., Zhang, S.Q. and Zhang, X.H. (2008) Integrated optics for nulling interferometry in the thermal infrared. In: Scholler, M., Danchi, W.C. and Delplancke, F. (eds.) Optical and infrared interferometry. SPIE, Bellingham, 1314-1314 . ISBN 9780819472236 doi: https://doi.org/10.1117/12.789378

Barone, A., Chirco, P., Di Fatta, G. and Lo Re, G. (2002) A management architecture for active networks. In: Proceedings of Fourth Annual International Workshop on Active Middleware Services. IEEE, pp. 41-48. ISBN 0769517218 doi: https://doi.org/10.1109/AMS.2002.1029689

Bishop, J. M. and Mitchell, R. J. (1995) Speech, vision and colour applications. In: Irwin, G., Warwick, K. and Hunt, K. (eds.) Neural network applications in control. The Institution of Engineering and Technology, pp. 161-177. ISBN 9780852968529

Bishop, J. M., Mitchell, R. J. and Warwick, K. (1996) Neural networks in automation procedures. In: Gray, J. O. and Caldwell, D. G. (eds.) Advanced robotics & intelligent machines. IEE control engineering series (51). Institute of Electrical Engineers, Stevenage, pp. 337-354. ISBN 9780852968536

Bishop, J.M., Keating, D.A. and Mitchell, R. J. (1998) A compound eye for a simple robotic insect. In: Austin, J. (ed.) RAM-based Neural Networks. Progress in Neural Processing (9). World Scientific, Singapore, pp. 166-174. ISBN 9789810232535

Boness, K. and Harrison, R. (2002) A data collection case study supporting requirements oriented prediction and management in software developments. In: 26th Annual International Computer Software and Applications Conference : proceedings : 26-29 August, 2002, Oxford, England/. IEEE Computer Society Press,, Los Alamitos, Calif., pp. 744-746. ISBN 0-7695-1727-7 doi: https://doi.org/10.1109/CMPSAC.2002.1045092

Byne, J.H.M. and Anderson, J. A. D. W. (1997) Surface based hypothesis verification in intensity images using geometric and appearance data. In: Chin, R. and Pong, T.-C. (eds.) Computer Vision — ACCV'98. Lecture Notes in Computer Science, 2 (1352). Springer, New York, pp. 177-184. ISBN 9783540639312 doi: https://doi.org/10.1007/3-540-63931-4_213

Carter, N., Young, D. and Ferryman, J. (2006) A combined Bayesian Markovian approach for behaviour recognition. In: Tang, Y. Y., Wang, S. P., Lorette, G., Yeung, D. S. and Yan, H. (eds.) 18th International Conference on Pattern Recognition, Vol 1, Proceedings. International Conference on Pattern Recognition. IEEE Computer Soc, Los Alamitos, pp. 761-764. ISBN 1051-4651 0-7695-2521-0

Carter, N.L. and Ferryman, J.M. (2008) The SAFEE on-board threat detection system. In: Gasteratos, A., Vincze, M. and Tsotsos, J. K. (eds.) Computer vision systems, proceedings. Lecture Notes in Computer Science, 5008. Springer-Verlag Berlin, Berlin, pp. 79-88. ISBN 9783540795469

Chella, A., Di Fatta, G., Favaro, G., Guarino, D. and Re, G.L. (2000) A reconfigurable neural environment on active networks. In: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium. IEEE, pp. 105-108. ISBN 0769506194 doi: https://doi.org/10.1109/IJCNN.2000.859380

Chen, S. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2003) Orthogonal forward regression based on directly maximizing model generalization capability. In: Hu, H., Yue, Y. and Zhao, Z. (eds.) Proceedings of the 2003 Chinese automation & computing society conference in the UK 2003. Pacilantic International, pp. 251-256. ISBN 9780953389063

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2010) Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression. In: The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 3418-3423. ISBN 9781424469161 doi: https://doi.org/10.1109/IJCNN.2010.5596855

Di Fatta, G., Gaglio, S., Lo Re, G. and Ortolani, M. (2000) Artificial ants for active routing. In: Intelligent autonomous systems 6. IOS Press, Amsterdam ; Washington, DC , pp. 233-238. ISBN 9781586030780 (IOM press) ; 9784274903854 (Ohmsha)

Di Fatta, G. (2019) Association rules and frequent patterns. In: Ranganathan, S., Nakai, K. and Schonbach, C. (eds.) Encyclopedia of Bioinformatics and Computational Biology. Elsevier, pp. 367-373. ISBN 9780128114322 doi: https://doi.org/10.1016/B978-0-12-809633-8.20333-6

Di Fatta, G. and Lo Re, G. (1998) Efficient tree construction for the multicast problem. In: ITS'98 proceedings : SBT/IEEE International Telecommunications Symposium : Maksoud Plaza Hotel, São Paulo, Brazil, August 9-13, 1998. IEEE, Piscataway, N.J., pp. 632-637. ISBN 9780780350304 doi: https://doi.org/10.1109/ITS.1998.718470

Di Fatta, G. and Pettinger, D. (2010) Dynamic load balancing in parallel KD-tree k-means. In: CIT '10: Proceedings of the 10th IEEE International Conference on Computer and Information Technology. IEEE, Washington DC, pp. 2478-2485. ISBN 978-0-7695-4108-2 doi: https://doi.org/10.1109/CIT.2010.424

Di Fatta, G., Haworth, G. M. ORCID: https://orcid.org/0000-0001-9896-1448 and Regan, K. W. (2009) Skill Rating by Bayesian Inference. In: Computational Intelligence and Data Mining, 2009. CIDM '09. IEEE Symposium on. Institute of Electrical and Electronics Engineers, Los Alamitos, CA 90720-1264 USA, pp. 89-94. ISBN 9781424427659 doi: https://doi.org/10.1109/CIDM.2009.4938634

Dyankov, D., Riccio, S. D., Di Fatta, G. and Nicosia, G. (2019) Multi-task learning by pareto optimality. In: Machine Learning, Optimization, and Data Science. LOD 2019. Lecture Notes in Computer Science (11943). Springer, pp. 605-618. ISBN 9783030375997 doi: https://doi.org/10.1007/978-3-030-37599-7_50

Ellis, A. and Ferryman, J. M. (2010) PETS2010 and PETS2009 evaluation of results using individual ground truthed single views. In: Proceedings of the 7th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2010). IEEE, pp. 135-142. ISBN 9780769542645 doi: https://doi.org/10.1109/AVSS.2010.89

Ellis, A., Shahrokni, A. and Ferryman, J. M. (2010) PETS2009 and Winter-PETS 2009 results: a combined evaluation. In: 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance. IEEE. ISBN 9781424455034 doi: https://doi.org/10.1109/PETS-WINTER.2009.5399728

Ellis, A.-L. and Ferryman, J. (2011) Benchmark datasets for detection and tracking. In: Moeslund, T. B., Hilton, A., Krüger, V. and Sigal, L. (eds.) Visual Analysis of Humans: Looking at People. Springer, pp. 109-128. ISBN 9780857299963 doi: https://doi.org/10.1007/978-0-85729-997-0_7

Evans, M. and Ferryman, J. M. (2010) Surveillance camera calibration from observations of a pedestrian. In: Proceedings, 7th IEEE International Conference on Advanced Video and Signal Based Surveillance. IEEE Computer Society, pp. 64-71. ISBN 9780769542645 doi: https://doi.org/10.1109/AVSS.2010.32

Evans, M. P. and Ferryman, J. (2006) Cross validation and segment support for stereo belief propagation. In: Tang, Y. Y., Wang, S. P., Lorette, G., Yeung, D. S. and Yan, H. (eds.) 18th International Conference on Pattern Recognition, Vol 1, Proceedings. International Conference on Pattern Recognition. IEEE Computer Soc, Los Alamitos, pp. 115-118. ISBN 1051-46510-7695-2521-0 doi: https://doi.org/10.1109/ICPR.2006.422

Evans, M.P. and Ferryman, J. (2005) Group stochastic search for object detection and tracking. In: AVSS 2005: Advanced Video and Signal Based Surveillance, Proceedings. IEEE, New York, pp. 153-158. ISBN 0780393856 doi: https://doi.org/10.1109/AVSS.2005.1577259

Fiannaa, A., Di Fatta, G., Gaglio, S., Rizzo, R. and Urso, A. (2007) Improved SOM learning using simulated annealing. In: Sá, J. M. d., Alexandre, L. A., Duch, W. and Mandic, D. (eds.) Artificial neural networks – ICANN 2007 : 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I. Lecture notes in computer science (4668). Springer-Verlag, Berlin, pp. 279-288. ISBN 9783540746898 doi: https://doi.org/10.1007/978-3-540-74690-4

Fletcher, M. J., Warwick, K. and Mitchell, R. (1991) Application of a hybrid tracking algorithm to motion analysis. In: Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE, pp. 84-89. ISBN 0818621486 doi: https://doi.org/10.1109/CVPR.1991.139666

Fu, Y., Gao, J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Tien, D. (2015) Low rank representation on Riemannian manifold of symmetric positive definite matrices. In: Proceedings of the 2015 SIAM International Conference on Data Mining. SIAM, pp. 316-324. ISBN 9781611974010 doi: https://doi.org/10.1137/1.9781611974010.36

Gaber, M. M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gomes, J. B. (2014) Conclusions, discussion and future work. In: Pocket Data Mining. Studies in Big Data (2). Springer International Publishing, pp. 95-98. ISBN 9783319027111 doi: https://doi.org/10.1007/978-3-319-02711-1_8

Gaber, M. M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gomes, J. B. (2014) Context-aware PDM (Coll-Stream). In: Pocket Data Mining. Studies in Big Data (2). Springer International Publishing, pp. 61-68. ISBN 9783319027111 doi: https://doi.org/10.1007/978-3-319-02711-1_5

Gaber, M. M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gomes, J. B. (2014) Experimental validation of context-aware PDM. In: Pocket Data Mining. Studies in Big Data (2). Springer International Publishing, pp. 69-80. ISBN 9783319027111 doi: https://doi.org/10.1007/978-3-319-02711-1_6

Gaber, M. M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gomes, J. B. (2014) Implementation of pocket data mining. In: Pocket Data Mining. Studies in Big Data (2). Springer International Publishing, pp. 41-59. ISBN 9783319027111 doi: https://doi.org/10.1007/978-3-319-02711-1_4

Gaber, M. M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gomes, J. B. (2014) Pocket data mining framework. In: Pocket Data Mining. Studies in Big Data (2). Springer International Publishing, pp. 23-40. doi: https://doi.org/10.1007/978-3-319-02711-1_3

Gaber, M. M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gomes, J. B. (2014) Potential applications of pocket data mining. In: Pocket Data Mining. Studies in Big Data (2). Springer International Publishing, pp. 81-94. ISBN 9783319027111 doi: https://doi.org/10.1007/978-3-319-02711-1_7

Gaber, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gomes, J. (2014) Background. In: Gaber, M. M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gomes, J. B. (eds.) Pocket Data Mining Big Data on Small Devices. Studies in Big Data (2). Springer International Publishing, Cham, pp. 7-21. ISBN 9783319027104

Gaber, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gomes, J. (2014) Introduction. In: Pocket Data Mining. Studies in Big Data (2). Springer International Publishing, Switzerland, pp. 1-5. ISBN 9783319027111 doi: https://doi.org/10.1007/978-3-319-02711-1_1

Gao, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2012) A neurofuzzy classifier for two class problems. In: Proceedings of the UKCI 2012, the 12th UK Workshop on Computational Intelligence. Conference Publications. IEEE, pp. 1-6. ISBN 9781467343916 doi: https://doi.org/10.1109/UKCI.2012.6335763

Gong, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2008) A new algorithm for OFDM joint data detection and phase noise cancellation. In: 2008 IEEE International Conference on Communications, Proceedings, Vols 1-13. IEEE International Conference on Communications. IEEE, New York, pp. 636-640. ISBN 1550-3607 9781424420742

Guo, Y., Gao, J. B. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2012) Constrained grouped sparsity. In: Thielscher, M. and Zhang, D. (eds.) AI 2012: Advances in Artificial Intelligence - Proceedings of the 25th Australasian Joint Conference. Lecture Notes in Computer Science (7691). Springer, pp. 433-444. ISBN 9783642351006 doi: https://doi.org/10.1007/978-3-642-35101-3_37

Harris, C. J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Gan, Q. (2000) Neurofuzzy state estimators. In: Sinha, N. K. and Gupta, M. M. (eds.) Soft computing and intelligent systems: theory and applications. Academic Press, pp. 377-402. ISBN 9780126464900

Harris, J. and Sun, L. (2010) Whose group is it anyway? A method for defining the context of multi-organisation collaborations in local government domains. In: Proceedings of ICIME 2010, the International Conference on Information Management and Evaluation. Academic Publishing Limited.

Harris, J., Sun, L. and Adams, A. (2009) Requirements analysis for an e-government system to support multi-organisational collaborative groups. In: Hahamis, P. and Remenyi, D. (eds.) Proceedings: 9th European conference on e-government. Academic Conferences Ltd, Reading, pp. 337-344. ISBN 9781906638337

Hawkins, G., Hunneman, R., Sherwood, R. E. and Barrett, B. M. (2002) Interference filters and coatings for mid-infrared astronomy (8-30µm). In: AtadEttedgui, E. and Dodorico, S. (eds.) Specialized Optical Developments in Astronomy. Proceedings of the Society of Photo-Optical Instrumentation Engineers (Spie), 4842. Spie-Int Soc Optical Engineering, Bellingham, pp. 43-55. ISBN 0277786X0819446211

Hawkins, G. J., Hunneman, R. and Cole, C. (1994) Infrared filters for space-flight focal plane array applications. In: Abeles, F. (ed.) Optical Interference Coatings. SPIE Proceedings (2253). SPIE Press, Bellingham, WA, pp. 333-347. ISBN 9780819415622 doi: https://doi.org/10.1117/12.192103

Hawkins, G. J., Hunneman, R. and Seeley, J. S. (1990) Preliminary results from the infrared multilayer filters and materials exposed to the space environment on the NASA LDEF mission. In: Lettington, A. H. (ed.) Infrared Technology and Applications. SPIE Proceedings (1320). SPIE Press, Bellingham, WA, pp. 407-419. ISBN 9780819403810 doi: https://doi.org/10.1117/12.22348

Hawkins, G. J., Hunneman, R. and Seeley, J. S. (1991) Space exposure of infrared filters and materials on the NASA Long Duration Exposure Facility (LDEF). In: Space Exposure of Infrared Filters and Materials on the NASA Long Duration Exposure Facility (LDEF). University of Reading. ISBN 9780704904095

Hawkins, G. J., Hunneman, R. and Seeley, J.S. (1987) Design and disposition of infrared optical multilayer coatings for the Improved Stratospheric and Mesospheric Sounder (ISAMS). In: Bowyer, C.S. and Seeley, J.S. (eds.) Optoelectronic technologies for remote sensing from space. Proceedings of SPIE (868 ). SPIE. ISBN 9780892529032

Hawkins, G. J., Seeley, J.S. and Hunneman, R. (1988) Spectral characterisation of cooled filters for remote sensing. In: Elliot, C. (ed.) Recent developments in infrared components and subsystems. Proceedings of SPIE (915). SPIE, pp. 71-78. ISBN 9780892529506

Hawkins, G. J., Sherwood, R. and Djotni, K. (2008) Mid-infrared filters for astronomical and remote sensing instrumentation. In: Kaiser, N., Lequime, M. and Mcleod, H. A. (eds.) Advances in optical thin films III. Proceedings of the Society of Photo-Optical Instrumentation Engineers (SPIE), 7101. SPIE, 10114 -10114. ISBN 9780819473318 doi: https://doi.org/10.1117/12.796635

Hawkins, G. J., Sherwood, R. E. and Barrett, B. M. (2007) Cooled Infrared Dichroic Beamsplitters and Filters for the MIRI Spectrometer and Imager (5-29µm). In: Optical Interference Coatings, OSA Technical Digest (CD). Optical Society of America. ISBN 1557528411

Hawkins, G. J. and Hunneman, R. (1994) Design and fabrication of infrared filters for remote sounding instrumentation. In: Dewandre, T. M. , Schulte-in-den-Baeumen , J. J. and Sein, E. (eds.) Space Optics 1994: Space Instrumentation and Spacecraft Optics. SPIE Proceedings (2210). SPIE Press, Bellingham, WA, pp. 639-651. ISBN 9780819415141 doi: https://doi.org/10.1117/12.188124

Hawkins, G. J., Hunneman, R., Barnett, J. and Whitney, J. (1998) Spectral design and verification of HIRDLS filters and antireflection coatings using an integrated system performance approach. In: Strojnik, M. and Andresen, B. (eds.) Infrared Spaceborne Remote Sensing. Proceedings of SPIE , 6 (3437). SPIE, pp. 102-112. ISBN 9780819428929 doi: https://doi.org/10.1117/12.331311

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J. (2005) Neurofuzzy model construction, design and estimation. In: Ruano, A. E. (ed.) Intelligent Control Systems using Computational Intelligence Techniques. IEE Publishing, London UK, 219 - 252.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Zhu, Q. M. (2009) An on-line algorithm of uncertain time delay estimation in a continuous system. In: 2009 IEEE International Conference on Networking, Sensing and Control, Vols 1 and 2. IEEE International Conference on Networking, Sensing and Control. IEEE, New York, pp. 498-501. ISBN 9781424434916

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. (2007) A sparse kernel density estimation algorithm using forward constrained regression. In: Huang, D. S., Heutte, L. and Loog, M. (eds.) Advanced Intelligent Computing Theories and Applications - with Aspects of Contemporary Intelligent Computing Techniques. Communications in Computer and Information Science, 2. Springer-Verlag Berlin, pp. 1354-1363. ISBN 9783540742814

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2013) Complex-valued B-spline neural networks for modeling and inverse of Wiener systems. In: Hirose, A. (ed.) Complex-valued neural networks: advances and applications. Wiley-IEEE press, Hoboken, pp. 209-233. ISBN 9781118344606

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2013) Complex-valued b-spline neural networks for modelling and inverse of wiener systems. In: Hirose, A. (ed.) Complex-Valued Neural Networks: Advances and Applications. John Wiley & Sons, Hoboken, NJ, pp. 209-233. doi: https://doi.org/10.1002/9781118590072.ch9

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2012) Construction of radial basis function networks with diversified topologies. In: Wang, L. and Garnier, H. (eds.) System identification, environmental modelling, and control system design. Springer, London, pp. 251-270. ISBN 9780857299734 doi: https://doi.org/10.1007/978-0-85729-974-1_13

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2010) Sparse kernel density estimation technique based on zero-norm constraint. In: The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 3782-3787. ISBN 9781424469161 doi: https://doi.org/10.1109/IJCNN.2010.5596853

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J. and Wilson, P. A. (1999) Autonomous ship collision free trajectory navigation and control algorithms. In: Proceedings of EFTA '99: the7th IEEE International Conference on Emerging Technologies and Factory Automation. IEEE Press, Barcelona, Spain, pp. 923-929. ISBN 0780356705 doi: https://doi.org/10.1109/ETFA.1999.813090

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J., Chen, S. and Sharkey, P. M. (2003) Robust identification for linear-in-the-parameters models. In: Ruano, A. E., Ruano, M. G. and Fleming, P. J. (eds.) Intelligent Control Systems and Signal Processing 2003. Ifac Proceedings Series. Pergamon-Elsevier Science Ltd, Kidlington, pp. 273-278. ISBN 0080440886

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Iplikci, S., Chen, S. and Warwick, K. (2012) B-spline neural networks based PID controller for Hammerstein systems. In: Huang, D.-S., Gupta, P., Zhang, X. and Premaratne, P. (eds.) Emerging Intelligent Computing Technology and Applications. Communications in Computer and Information Science, 304. Springer, pp. 38-46. doi: https://doi.org/10.1007/978-3-642-31837-5_6

Hunneman, R. and Hawkins, G. J. (1998) The manufacture and spectral assessment of the filters and antireflection coatings for use in the HIRDLS instrument. In: Strojnik, M. and Andresen, B. (eds.) Infrared Spaceborne Remote Sensing. Proceedings of SPIE, VI (3437). SPIE, pp. 378-390. ISBN 9780819428929 doi: https://doi.org/10.1117/12.331312

Hunneman, R., Barnett, J. J. and Hawkins, G. J. (1994) High-performance infrared filters for the HIRDLS 21-channel focal plane detector array. In: Dewandre, T. M. , Schulte-in-den-Baeumen , J. J. and Sein, E. (eds.) Space Optics 1994: Space Instrumentation and Spacecraft Optics. SPIE Proceedings, 49 (2210). SPIE Press, Bellingham, WA, pp. 516-532. ISBN 9780819415141 doi: https://doi.org/10.1117/12.188110

Khlaifi, H., Badii, A., Istrate, D. and Demongeot, J. (2019) Automatic detection and recognition of swallowing sounds. In: Moucek, R., Fred, A. and Gamboa, H. (eds.) Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies. SciTePress, Prague, Czech Republic, pp. 221-229. ISBN 9789897583537 doi: https://doi.org/10.5220/0007310802210229

Kirchhof, J. C., Kusmenko, E., Ritz, J., Rumpe, B., Moin, A., Badii, A., Günnemann, S. and Challenger, M. (2022) MDE for machine learning-enabled software systems: a case study and comparison of MontiAnna & ML-Quadrat. In: MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. Association for Computing Machinery, New York, pp. 380-387. ISBN 9781450394673 doi: https://doi.org/10.1145/3550356.3561576

Kong, L. ORCID: https://orcid.org/0000-0002-6825-1469, Kumar, A. ORCID: https://orcid.org/0000-0003-1940-0234, Snášel, V. ORCID: https://orcid.org/0000-0002-9600-8319, Das, S. ORCID: https://orcid.org/0000-0001-6843-4508, Krömer, P. ORCID: https://orcid.org/0000-0001-8428-3332 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2022) CSS–A cheap-surrogate-based selection operator for multi-objective optimization. In: Mernik, M., Eftimov, T. and Črepinšek, M. (eds.) Bioinspired Optimization Methods and Their Applications: 10th International Conference, BIOMA 2022, Maribor, Slovenia, November 17–18, 2022, Proceedings. Lecture Notes in Computer Science, 13627. Springer, Cham, pp. 54-68, X, 277. ISBN 9783031210938 doi: https://doi.org/10.1007/978-3-031-21094-5_5

Kunkel, J. and Betke, E. (2017) An MPI-IO In-Memory driver for non-volatile pooled memory of the Kove XPD. In: Kunkel, J., Yokota, R., Taufer, M. and Shalf, J. (eds.) High Performance Computing. Lecture Notes in Computer Science, 10524 (10524). Springer, Cham, pp. 679-690. ISBN 9783319676296 doi: https://doi.org/10.1007/978-3-319-67630-2_48

Kunkel, J., Novikova, A., Betke, E. and Schaare, A. (2017) Toward decoupling the selection of compression algorithms from quality constraints. In: Kunkel, J. M., Yokota, R., Taufer, M. and Shalf, J. (eds.) High Performance Computing. Lecture Notes in Computer Science (10524). Springer, pp. 3-14. ISBN 9783319676296 doi: https://doi.org/10.1007/978-3-319-67630-2_1

Kunkel, J., Zimmer, M. and Betke, E. (2015) Predicting performance of non-contiguous I/O with machine learning. In: Kunkel, J. M. and Ludwig, T. (eds.) High Performance Computing. Lecture Notes in Computer Science (9137). Springer, pp. 257-273. ISBN 9783319201184 doi: https://doi.org/10.1007/978-3-319-20119-1_19

Kunkel, J. M. (2016) Analyzing data properties using statistical sampling techniques – illustrated on scientific file formats and compression features. In: Taufer, M., Mohr, B. and Kunkel, J. (eds.) High Performance Computing. Lecture Notes in Computer Science, 9945. Springer, Cham, pp. 130-141. ISBN 9783319460796 doi: https://doi.org/10.1007/978-3-319-46079-6_10

Kunkel, J. M., Zimmer, M., Hübbe, N., Aguilera, A., Mickler, H., Wang, X., Chut, A., Bönisch, T., Lüttgau, J., Michel, R. and Weging, J. (2014) The SIOX architecture – coupling automatic monitoring and optimization of parallel I/O. In: Kunkel, J. M., Ludwig, T. and Meuer, H. W. (eds.) Supercomputing. Lecture Notes in Computer Science (8488). Springer, pp. 245-260. ISBN 9783319075174 doi: https://doi.org/10.1007/978-3-319-07518-1_16

La Rosa, M., Di Fatta, G., Gaglio, S., Giammanco, G. M., Rizzo, R. and Urso, A. M. (2007) Soft topographic map for clustering and classification of bacteria. In: Berthold, M. R., Shawe-Taylor, J. and Lavrac, N. (eds.) Advances in Intelligent Data Analysis VII : 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007. Proceedings. Lecture notes in computer science (4723). Springer-Verlag, Berlin, pp. 332-343. ISBN 9783540748243 doi: https://doi.org/10.1007/978-3-540-74825-0_30

Lauria, S. and Mitchell, R. J. (1998) Weightless neural nets for face recognition: a comparison. In: Neural networks for signal processing VIII. Proceedings of the 1998 IEEE signal processing society workshop. IEEE, pp. 539-546. ISBN 078035060X doi: https://doi.org/10.1109/NNSP.1998.710685

Lester, M. M. ORCID: https://orcid.org/0000-0002-2323-1771 (2023) CoPTIC: constraint programming translated into C. In: Sankaranarayanan, S. and Sharygina, N. (eds.) Tools and Algorithms for the Construction and Analysis of Systems. TACAS 2023. Lecture Notes in Computer Science (13994). Springer, Cham. ISBN 9783031308192 doi: https://doi.org/10.1007/978-3-031-30820-8_13

Lester, M. M. ORCID: https://orcid.org/0000-0002-2323-1771 (2024) Cutting the cake into crumbs: verifying envy-free cake cutting protocols using bounded integer arithmetic. In: Gebser, M. and Sergey, I. (eds.) Practical aspects of declarative languages: 26th international symposium, PADL 2024, London, UK, January 15–16, 2024, Proceedings. Lecture Notes in Computer Science (14512). Springer, Cham, pp. 100-115. ISBN 9783031520372 doi: https://doi.org/10.1007/978-3-031-52038-9_7

Li, X., Liang, H., Ryder, C., Jones, R. ORCID: https://orcid.org/0000-0002-9426-727X and Liu, Z. (2022) Attractiveness analysis for health claims on food packages. In: Park, L. A. F., Gomes, H. M., Doborjeh, M., Boo, Y. L., Koh, Y. S., Yanchang, Z., Williams, G. and Simoff, S. (eds.) Data Mining. Communications in Computer and Information Science, 1741. Springer, Singapore, pp. 217-232, 245 pages. ISBN 9789811987458 doi: https://doi.org/10.1007/978-981-19-8746-5_16 (20th Australasian conference, AusDM 2022 Western Sydney, Australia, December 12-15, 2022 Proceedings)

Liu, H., Gegov, A. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2014) Unified framework for construction of rule based classification systems. In: Pedrycz, W. and Chen, S. M. (eds.) Information Granularity, Big Data and Computational Intelligence. Springer, Switzerland, pp. 209-230. doi: https://doi.org/10.1007/978-3-319-08254-7_10

Liu, J. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2010) Integrating features for man-made target tracking from FLIR image sequence using particle filter. In: 2010 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IET, pp. 484-488. ISBN 9781424450015 doi: https://doi.org/10.1109/ICMTMA.2010.87

Liu, J. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2010) Optimal selection of fractal features for man-made object detection from infrared images. In: 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010). IEEE, pp. 177-180. ISBN 9781424451920 doi: https://doi.org/10.1109/CAR.2010.5456575

Liu, K., Du, H. and Sun, L. (2009) Semiotics in information systems development. In: Huang, W. and Wang, K. (eds.) Information systems research: issues and latest developments. Tsinghua University Press, Tsinghua, China. ISBN 9787302212386 (in Chinese)

Liu, K., Sun, L. and Rong, W. (2009) Semiotic modelling for complex enterprise systems. In: Feng, X., Liu, K. and Jiang, G. (eds.) Information systems in the changing era: theory and practice. Aussino Academic Publishing House, Sydney, Australia, pp. 299-309. ISBN 9780980605723 (Proceedings of the 11th International Conference on Informatics and Semiotics in Organizations)

Liu, K., Sun, L., Jambari, D., Michell, V. and Chong, S. (2011) A design of business-technology alignment consulting framework. In: Mouratidis, H. and Rolland, C. (eds.) Advanced Information Systems Engineering: 23rd International Conference, CAiSE 2011, London, UK, June 20-24, 2011, Proceedings. Lecture Notes in Computer Science (6741). Springer, pp. 422-435. ISBN 9783642216398

Liyanagunawardena, T. R., Parslow, P. and Williams, S. A. (2017) Exploring ‘success’ in MOOCs: participants’ perspective. In: Bennett, R. and Kent, M. (eds.) Massive open online courses and higher education: what went right, what went wrong and where to next? Routledge, London, pp. 92-108. ISBN 9781472481986

Luettgau, J. and Kunkel, J. (2017) Simulation of hierarchical storage systems for TCO and QoS. In: Kunkel, J., Yokota, R., Taufer, M. and Shalf, J. (eds.) High Performance Computing. Lecture Notes in Computer Science, 10524 (10524). Springer, Cham, pp. 132-144. ISBN 9783319676296 doi: https://doi.org/10.1007/978-3-319-67630-2_12

M-Rouhani, B. and Anderson, J. A. D. W. (1997) Modeling camera orientation and 3D structure from a sequence of images taken by a perambulating commercial video camera. In: Blouke, M. (ed.) Solid State Sensor Arrays: Development and Applications. Proceedings, 3019. SPIE, pp. 58-69. ISBN 9780819424303 doi: https://doi.org/10.1117/12.275166

Maamar, Z., Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414 and Dohan, M. (2021) An IoT application business-model on top of cloud and fog nodes. In: Barolli, L., Woungang, I. and Enokido, T. (eds.) Advanced Information Networking and Applications: Proceedings of the 35th International Conference of Advanced Information Networking and Applications. Lecture notes in Networks and Systems, 226. Springer, Cham, Switzerland, pp. 174-186. ISBN 9783030750749 doi: https://doi.org/10.1007/978-3-030-75075-6_14

Manjunathaiah, M. (2009) Hierarchical composite regular parallel architecture. In: Sousa, L. and Robert, Y. (eds.) Eighth International Symposium on Parallel and Distributed Computing, Proceedings. IEEE Computer Soc, Los Alamitos, pp. 253-256. ISBN 9780769536804 doi: https://doi.org/10.1109/ispdc.2009.41

Manjunathaiah, M. and Megson, G. (2002) Compositional technique for synthesising multi-phase regular arrays. In: Proceedings of ASAP '02, the 13th IEEE Conference on Application-Specific Systems, Architectures and Processors. IEEE Computer Society, Washington DC, pp. 7-16. ISBN 0769517129 doi: https://doi.org/10.1109/ASAP.2002.1030700

Manjunathaiah, M., Megson, G., Rajopadhye, S. and Risset, T. (2001) Uniformization of affine dependence programs for parallel embedded system design. In: Ni, L. M. and Valero, M. (eds.) Proceedings of the International Conference on Parallel Processing. IEEE Computer Society, LOS ALAMITOS, CA 90720-1264 USA , pp. 205-213. ISBN 0769512577 doi: https://doi.org/10.1109/ICPP.2001.952064

Mitchell, R. (2004) Bode's maximum available feedback and phase margin. In: Hamza, M. H. (ed.) Proceedings of the IASTED International Conference on Applied Simulation and Modelling. Acta Press, Calgary, pp. 456-461. ISBN 0889863970

Mitchell, R. (2011) Increasing completion of neural networks coursework. In: Proceedings of the 2011 10th IEEE International Conference on Cybernetic Intelligent Systems. IEEE, pp. 32-37. ISBN 9781467306874 (IEEE Conference ID: 19333)

Mitchell, R. J. (1999) Neural networks for control. In: Tzafestas, S. G. (ed.) Soft Computing in Systems and Control Technology. World Scientific Series in Robotics and Intelligent Systems (18). World Scientific, pp. 53-76. ISBN 9789810233815

Mitchell, R. J. (2008) On simple adaptive momentum. In: Comley, R. A., Amavasai, B. P., Cheng, X., Ogrady, M., Huyck, C. and Siddique, N. H. (eds.) Proceedings of the 2008 7th IEEE International Conference on Cybernetic Intelligent Systems. IEEE, pp. 215-220. ISBN 9781424429141

Mitchell, R. J. and Keating, D.A. (1998) Neural network control of a simple mobile robot. In: Taylor, J.G. and Landeau, L.J. (eds.) Concepts for neural networks: a survey. Perspectives in neural computing. Springer Verlag, pp. 95-108. ISBN 9783540761631

Mitchell, R. J., Bishop, J.M., Box, S.K. and Hawker, J.F. (1998) Comparison of some methods for processing Grey Level data in weightless networks. In: Austin, J. (ed.) RAM-based neural networks. Progress in Neural Processing (9). World Scientific, Singapore, pp. 66-71. ISBN 9789810232535

Mitchell, R. J., Box, S.K. and Hawker, J.F. (1998) Comparison of some methods for processing "grey level" data in weightless networks. In: Austin, J. (ed.) RAM-Based Neural Networks. Progress in Neural Processing (9). World Scientific, pp. 66-71. ISBN 9789810232535

Mitchell, R.J. (2003) Forecasting Electricity Demand using Clustering. In: Proceedings of 21st IASTED International Conference on Applied Informatics. UNSPECIFIED, Innsbruck, Austria, pp. 225-230. ISBN 0889863415

Moin, A., Badii, A., Günnemann, S. and Challenger, M. (2023) Enabling Machine Learning in software architecture frameworks. In: 2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN). IEEE. ISBN 9798350301137 doi: https://doi.org/10.1109/cain58948.2023.00021

Molina, S., Soto, I., Sun, L. and Liu, K. (2012) Pervasive environment for gases detection and collapses in underground mines. In: Material Research and Applications. Advanced Materials Research, 875-877. Trans Tech Publications, Durnten-Zurich, Switzerland, pp. 2056-2061. doi: https://doi.org/10.4028/www.scientific.net/AMR.875-877.2056

Ousmanou, K., Chen, F. and Sun, L. (2009) Health informatics: improving patient-centred healthcare pathway. In: Feng, X., Liu, K. and Jiang, G. (eds.) Information systems in the changing era: theory and practice: proceedings of the 11th international conference on informatics and semiotics in organisations. Aussino Academic Publishing , Marrickville, N.S.W, Australia, pp. 263-269. ISBN 9780980605723

Patino, L., Bremond, F., Evans, M., Shahrokni, A. and Ferryman, J. M. (2010) Video activity extraction and reporting with incremental unsupervised learning. In: 7th IEEE International Conference on Advanced Video and Signal Based Surveillance. IEEE Computer Society, pp. 511-518. ISBN 9780769542645 doi: https://doi.org/10.1109/AVSS.2010.74

Pettinger, D. and Di Fatta, G. (2013) Efficient group communication for large-scale parallel clustering. In: Intelligent Distributed Computing VI. Studies in Computational Intelligence, 446. Springer Berlin Heidelberg, Berlin Heidelberg, pp. 155-164. ISBN 9783642325243 doi: https://doi.org/10.1007/978-3-642-32524-3_20

Pettinger, D. and Di Fatta, G. (2010) Space partitioning for scalable K-means. In: Draghici, S., Khoshgoftaar, T. M., Palade, V., Pedrycz, W., Wani, M. A. and Zhu, X. (eds.) The Ninth International Conference on Machine Learning and Applications (ICMLA 2010). IEEE Press, pp. 319-324. ISBN 9781424492114 doi: https://doi.org/10.1109/ICMLA.2010.46

Seeley, J. S., Hunneman, R. and Hawkins, G. J. (1990) System performance in IR atmospheric radiometry. In: Herrmann, R. (ed.) Optical Thin Films and Applications. SPIE Proceedings (1270). SPIE Press, Bellingham, WA, pp. 244-249. ISBN 9780819403179 doi: https://doi.org/10.1117/12.20381

Shahrokni, A., Gawley, D. and Ferryman, J. M. (2010) A novel shape feature for fast region-based pedestrian recognition. In: Proceedings 20th International Conference on Pattern Recognition. IEEE Computer Society Press, pp. 444-447. ISBN 9780769541099 doi: https://doi.org/10.1109/ICPR.2010.117

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2011) Induction of modular classification rules: using Jmax-pruning. In: Bramer, M., Petridis, M. and Hopgood, A. (eds.) Research and Development in Intelligent Systems XXVII. Springer, London, pp. 79-92. ISBN 9780857291295 doi: https://doi.org/10.1007/978-0-85729-130-1_6

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2011) Random prism: an alternative to random forests. In: Bramer, M., Petridis, M. and Nolle, L. (eds.) Research and Development in Intelligent Systems XXVIII. Springer, London, pp. 5-18. ISBN 9781447123170 doi: https://doi.org/10.1007/978-1-4471-2318-7_1

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2008) Towards a computationally efficient approach to modular classification rule induction. In: Bramer, M., Coenen, F. and Petridis, M. (eds.) Research and Development in Intelligent Systems XXIV. Springer, London, pp. 357-362. ISBN 9781848000933 doi: https://doi.org/10.1007/978-1-84800-094-0_27

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Berrar, D., Silva, C., Rodrigues, R., Brito, R.M.M. and Dubitzky, W. (2005) Grid warehousing of molecular dynamics protein unfolding data. In: Proceedings of CCGrid2005, the IEEE 2005 International Symposium on Cluster Computing and the Grid. IEEE, pp. 496-503. ISBN 0780390741 doi: https://doi.org/10.1109/CCGRID.2005.1558594

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Bramer, M. and Adda, M. (2010) J-PMCRI: a methodology for inducing pre-pruned modular classification rules. In: Bramer, M. (ed.) Artificial Intelligence in Theory and Practice III. IFIP Advances in Information and Communication Technology (331). Springer, Berlin, pp. 47-56. ISBN 9783642152856 doi: https://doi.org/10.1007/978-3-642-15286-3_5

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Bramer, M. and Adda, M. (2008) P-Prism: a computationally efficient approach to scaling up classification rule induction. In: Bramer, M. (ed.) Artificial Intelligence in Theory and Practice II. IFIP – The International Federation for Information Processing (276). Springer, USA, pp. 77-86. ISBN 9780387096940 doi: https://doi.org/10.1007/978-0-387-09695-7_8

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Bramer, M. and Adda, M. (2009) PMCRI: a parallel modular classification rule induction framework. In: Machine Learning and Data Mining in Pattern Recognition. Lecture Notes in Computer Science (5632). Springer, pp. 148-162. ISBN 9783642030697 doi: https://doi.org/10.1007/978-3-642-03070-3_12

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Bramer, M. and Adda, M. (2009) Parallel induction of modular classification rules. In: Bramer, M., Petridis, M. and Coenen, F. (eds.) Research and Development in Intelligent Systems XXV. London, Berlin, pp. 343-348. ISBN 9781848821705 doi: https://doi.org/10.1007/978-1-84882-171-2_25 (Proceedings of AI-2008, the Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence)

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Bramer, M. and Adda, M. (2010) Parallel rule induction with information theoretic pre-pruning. In: Research and Development in Intelligent Systems XXVI. Springer, London, pp. 151-164. ISBN 9781848829824 doi: https://doi.org/10.1007/978-1-84882-983-1_11

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Gabber, M. M. and Max, B. (2013) Scaling up data mining techniques to large datasets using parallel and distributed processing. In: Rausch, P., Sheta, A. F. and Ayesh, A. (eds.) Business Intelligence and Performance Management. Springer, pp. 243-259. ISBN 9781447148654 doi: https://doi.org/10.1007/978-1-4471-4866-1_16

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Gaber, M. M. and Salvador, M. M. (2012) eRules: a modular adaptive classification rule learning algorithm for data streams. In: Bramer, M. and Petridis, M. (eds.) Research and Development in Intelligent Systems XXIX. Springer, London, pp. 65-78. ISBN 9781447147381 doi: https://doi.org/10.1007/978-1-4471-4739-8_5

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Gaber, M. M., Aldridge, P., May, D., Liu, H., Bramer, M. and Yu, P. S. (2012) Homogeneous and heterogeneous distributed classification for pocket data mining. In: Hameurlain, A., Küng, J. and Wagner, R. (eds.) Transactions on large-scale data and knowledge-centered systems V. Lecture Notes in Computer Science (7100). Springer, pp. 183-205. ISBN 9783642281471

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Gaber, M. M., Bramer, M. and Yu, P. S. (2011) Distributed hoeffding trees for pocket data mining. In: International Conferance on High Performance Computing and Simulation (HPCS), 2011. IEEE, pp. 686-692. ISBN 9781612843803 doi: https://doi.org/10.1109/HPCSim.2011.5999893

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Gaber, M. M., Bramer, M. and Yu, P. S. (2010) Pocket data mining: towards collaborative data mining in mobile computing environments. In: Proc. ICTAI 2010, the 22nd IEEE Int. Conf. on Tools with Artificial Intelligence. IEEE, pp. 323-330. ISBN 9781424488179 doi: https://doi.org/10.1109/ICTAI.2010.118

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Gaber, M. M., Liu, H., Bramer, M. and Yu, P. S. (2011) Distributed classification for pocket data mining. In: Kryszkiewicz, M., Rybinski, H., Skowron, A. and Ras, Z. W. (eds.) Foundations of Intelligent Systems, Proc. of ISMIS 20111, the 19th Int. Symposium on Methodologies for Intelligent Systems. Lecture Notes in Computer Science (6804). Springer, pp. 336-345. ISBN 9783642219153 doi: https://doi.org/10.1007/978-3-642-21916-0_37

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, May, D. and Bramer, M. (2012) Parallel random prism: a computationally efficient ensemble learner for classification. In: Bramer, M. and Petridis, M. (eds.) Research and Development in Intelligent Systems XXIX. Springer, London, pp. 21-34. ISBN 9781447147381 doi: https://doi.org/10.1007/978-1-4471-4739-8_2 (Proceedings of AI-2012, The Thirty-second SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence)

Sun, L. and Williams, S. (2004) An instructional design model for constructivist learning. In: Cantoni, L. and McLoughlin, C. (eds.) ED-MEDIA 2004: World Conference on Educational Multimedia, Hypermedia & Telecommunications, Vols. 1-7. Assoc Advancement Computing Education, Norfolk, pp. 2476-2483. ISBN 1880094533

Sun, L., Mushi, C. J. and Alsoud, A. (2011) Conceptual modeling for requirements of government to citizen service provision. In: Pokorny, J., Repa, V., Richta, K., Wojtkowski, W., Linger, H., Barry, C. and Lang, M. (eds.) Information Systems Development: Business Systems and Services: Modeling and Development. Springer, pp. 747-758. ISBN 9781441996459 doi: https://doi.org/10.1007/978-1-4419-9790-6_60

Sun, L. L. and Mushi, C. (2009) Modelling requirements of supplier selection for benchmarking service provision. In: Feng, X., Liu, K. and Jiang, G. (eds.) Information Systems in the Changing Era: Theory and Practice. Aussino Acad Publ House, Marrickville, pp. 440-448. ISBN 9780980605723

Swain, M., Ostropytskyy, V., Silva, C. G., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Riche, O., Brito, R. M. M. and Dubitzky, W. (2008) Grid computing solutions for distributed repositories of protein folding and unfolding simulations. In: Computational Science – ICCS 2008. Lecture Notes in Computer Science (5103). Springer, Berlin, pp. 70-79. ISBN 9783540693888 doi: https://doi.org/10.1007/978-3-540-69389-5_10

Tan, C., Sun, L. and Liu, K. (2015) Big data architecture for pervasive healthcare: a literature review. In: ECIS 2015 Completed Research Papers. ECIS, Paper 117. ISBN 9783000502842

Teixeira, L., Maffra, F. and Badii, A. (2014) Scene understanding for auto-calibration of surveillance cameras. In: Advances in Visual Computing. Springer International Publishing, pp. 671-682. doi: https://doi.org/10.1007/978-3-319-14364-4_65

Torres, R., Kunkel, J. M., Dolz, M. F. and Ludwig, T. (2017) A novel string representation and kernel function for the comparison of I/O access patterns. In: Malyshkin, V. (ed.) Parallel Computing Technologies: 14th International Conference, PaCT 2017, Nizhny Novgorod, Russia, September 4-8, 2017, Proceedings. Lecture Notes in Computer Science, 10421 (10421 2017). Springer, Cham, pp. 500-512. ISBN 9783319629315 doi: https://doi.org/10.1007/978-3-319-62932-2_48

Wakeham, S.J. and Hawkins, G.J. (2006) Investigation of cadmium alternatives in thin-film coatings - art. no. 62860C. In: Ellison, M. J. (ed.) Advances in Thin - Film Coatings for Optical Applications III. Proceedings of the Society of Photo-Optical Instrumentation Engineers (Spie), 6286. Spie-Int Soc Optical Engineering, Bellingham, C2860-C2860. ISBN 0277-786X 0-8194-6365-5 doi: https://doi.org/10.1117/12.680349

Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Bartels, M. (2012) 3D digital elevation model generation. In: Pears, N., Liu, Y. and Bunting, P. (eds.) 3D imaging, analysis, and applications. Springer, London, pp. 367-415. ISBN 9781447140627 doi: https://doi.org/10.1007/978-1-4471-4063-4

Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Bartels, M. (2006) Unsupervised segmentation using Gabor wavelets and statistical features in LIDAR data analysis. In: Tang, Y. Y., Wang, S. P., Lorette, G., Yeung, D. S. and Yan, H. (eds.) 18th International Conference on Pattern Recognition, Vol 1, Proceedings. International Conference on Pattern Recognition. IEEE Computer Soc, Los Alamitos, pp. 667-670. ISBN 1051-4651 0-7695-2521-0

Wen, P. C., Wang, X. J. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2010) Image restoration for a rectangular poor-pixels detector. In: International Symposium on Precision Engineering Measurements and Instrumentation. SPIE Proceedings, 7544. SPIE Press, Bellingham, WA, p. 754436. doi: https://doi.org/10.1117/12.885301

Wild, P., Hofbauer, H., Ferryman, J. and Uhl, A. (2017) Robust iris image segmentation. In: Rathgeb, C. and Busch, C. (eds.) Iris and periocular biometric recognition. IET Book Series on Advances in Biometrics. The Institution of Engineering and Technology, London, pp. 57-82. ISBN 9781785611681

Williams, S., Baker, K., Sun, L., Fu, Y., Johns, K., Ousmanou, K. and Lubega, J. (2004) Example uses of a learning object. In: Cheung, R., Lau, R. and Li, Q. (eds.) New Horizon in Web-based Learning. World Scientific Publ Co Pte Ltd, Singapore, pp. 51-58. ISBN 9812560297

Williams, S., Fleming, S., Lundqvist, K. and Parslow, P. (2012) This is me: digital identity and reputation on the Internet. In: Warburton, S. and Hatzipanagos, S. (eds.) Digital identities and social media. IGI Global, United Kingdom, pp. 104-117. doi: https://doi.org/10.4018/978-1-4666-1915-9

Wrench, C., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Di Fatta, G., Karthikeyan, V. and Nauck, D. D. (2016) Data stream mining of event and complex event streams: a survey of existing and future technologies and applications in big data. In: Atzmueller, M., Oussena, S. and Roth-Berghofer, T. (eds.) Enterprise Big Data Engineering, Analytics, and Management. IGI Global, pp. 24-47. ISBN 9781522502937 doi: https://doi.org/10.4018/978-1-5225-0293-7

Xu, D., Fang, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Gao, J. (2019) Sparse least squares low rank kernel machines. In: International Conference on Neural Information Processing. Springer, Cham, pp. 395-406. ISBN 9783030367107 doi: https://doi.org/10.1007/978-3-030-36711-4_33

Zhang, K.Q., Hunneman, R., Seeley, J.S. and Hawkins, G. J. (1990) Optical and semi-conductor properties of Lead Telluride coatings. In: Tschudi, T. (ed.) Thin Films in Optics. Proceedings of SPIE (1125). SPIE, pp. 45-52. ISBN 9780819401618

Zhou, M. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2006) Face verification using Gabor wavelets and AdaBoost. In: Tang, Y. Y., Wang, S. P., Lorette, G., Yeung, D. S. and Yan, H. (eds.) 18th International Conference on Pattern Recognition, Vol 1, Proceedings. International Conference on Pattern Recognition. IEEE Computer Soc, Los Alamitos, pp. 404-407. ISBN 1051-4651 0769525210

Zhu, M. and Badii, A. (2007) Multimodal semantic-associative collateral labelling and indexing of still images. In: 2007 International Workshop on Content-Based Multimedia Indexing, Proceedings. IEEE, New York, pp. 173-180. ISBN 9781424410101

Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2004) Improvement of classification accuracy for stochastic discrimination - Multi-class classification. In: Chu, H. W., Savoie, M. and Sanchez, B. (eds.) International Conference on Computing, Communications and Control Technologies, Vol 2, Proceedings. Int Inst Informatics & Systemics, Orlando, pp. 17-22. ISBN 9806560175

Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2004) RBF equalizer design using directional evolutionary multi-objective optimization. In: Chu, H. W., Savoie, M., Toraichi, K. and Kwan, P. (eds.) International Conference on Computing, Communications and Control Technologies, Vol 3, Proceedings. Int Inst Informatics & Systemics, Orlando, pp. 109-114. ISBN 9806560175

de Dinechin, F., Manjunathaiah, M., Risset, T. and Spivey, M. (2004) Design of highly parallel architecture with Alpha and Handel. In: Villar, E. and Mermet, J. (eds.) System Specification and Design Languages: Best of FDL '02. The ChDL Series, 4. Kluwer Academic Publishers, Boston, pp. 293-302. ISBN 140207414X doi: https://doi.org/10.1007/0-306-48734-9_24

dos Reis, T. S. and Anderson, J. (2015) Transreal limits and elementary functions. In: Kim, H. K., Amouzegar, M. A. and Ao, S.-l. (eds.) Transactions on Engineering Technologies, World Congress on Engineering and Computer Science 2014. Springer Netherlands, pp. 209-225. ISBN 9789401772358 doi: https://doi.org/10.1007/978-94-017-7236-5

dos Reis, T. S. and Anderson, J. (2015) Transreal logical space of all propositions. In: Kim, H. K., Amouzegar, M. A. and Ao, S.-l. (eds.) Transactions on Engineering Technologies, World Congress on Engineering and Computer Science 2014. Springer Netherlands, pp. 227-242. doi: https://doi.org/10.1007/978-94-017-7236-5

Report

Boness, K. D., (1986) Review of theoretical models of electromagnetic NDT and their applications. Technical Report. UKAEA, Harwell Atomic Energy Research Establishment

Boness, K. D., (1981) Ultrasonic verification of weld signatures. 13 - Mechanical, industrial, civil and marine engineering; 13H - Industrial and manufacturing processes. Technical Report. opensigle.inist.fr pp13.

Boness, K. D., (1982) A pulsed tuned circuit eddy-current system for NDT. 09 - Electronics and electrical engineering, computer science; 09B - circuits. Technical Report. UKAEA, Harwell Atomic Energy Research Establishment, Harwell. pp19.

Boness, K. D., Holt, C.C. and Holt, R.P., (1983) Ultrasonic verification of welded containers by lamb wave fingerprints. Technical Report. UKAEA, Harwell Atomic Energy Research Establishment, Harwell.

Boness, K. D., Holt, C.C. and Holt, R.P., (1984) A narrow band pulsed eddy current instrument for materials testing. Technical Report. NASA STI/Recon

Manjunathaiah, M., (1999) Design of multi-phase regular arrays. RUCS/1999/TR/016/A. Technical Report. The University of Reading

Manjunathaiah, M., (1999) Tools for regularising array designs. RUCS/1999/TR/015/A. Technical Report. The University of Reading

Manjunathaiah, M., Megson, G., Rajopadhye, S. and Risset, T., (2000) Uniformization tool for systolic array designs. Rapport de Recherche. 1350. Technical Report. Irisa, Rennes, France.

Vasile, M., Ceriotti, M., Radice , G., Becerra, V., Nasuto, S. and Anderson, J., (2008) Global trajectory optimisation: can we prune the solution space when considering deep space manoeuvres? Technical Report. ESA

Williams, S. A., Fleming, S. C. and Parslow, P. N., (2010) Digital identity for careers. This is me. Report. Lulu, Reading, UK. pp27.

Williams, S. A., Fleming, S. C. and Parslow, P. N., (2010) Digital identity for health professionals. This is me. Report. Lulu, Reading, UK.

Williams, S. A., Fleming, S. C. and Parslow, P. N., (2010) Digital identity for the retired. This is me. Report. Lulu, Reading, UK.

Conference or Workshop Item

Abbo, D. and Sun, L. (2009) Security analysis of information systems. In: IADIS International Conference e-Society, Barcelona, Spain.

Abbo, D. and Sun, L. (2009) The patterns for information system security [poster]. In: 11th International Conference on Enterprise Information Systems (ICEIS 2009), Milan, Italy.

AbdAziz, A., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Ferryman, J. (2017) Face anti-spoofing countermeasure: efficient 2D materials classification using polarization imaging. In: 5th International Workshop on Biometrics and Forensics, 4-5 Apr 2017, Coventry, UK.

AbdAziz, A., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Ferryman, J. (2015) On evaluation of depth accuracy in consumer depth sensor. In: 8th International Conference on Machine Vision, 19-21, November 2017, Barcelona, Spain.

Abdelwahab, S., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Abraham, A. (2016) Neuro-fuzzy risk prediction model for computational grids. In: Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015, Sep 9, 2015 - Sep 11, 2015, Paris - Villejuif, France, pp. 127-136. doi: https://doi.org/10.1007/978-3-319-29504-6_13

Adedoyin-Olowe, M., Gaber, M. M., Dancausa, C. M. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2014) Extraction of unexpected rules from Twitter hashtags and its application to sport events. In: 13th International Conference on Machine Learning and Applications (ICMLA 2014), 3-5 Dec 2014, Detriot, MI, USA, pp. 207-212.

Aguilera, J., Thirde, D., Kampel, M., Borg, M., Fernandez, G. and Ferryman, J. (2006) Visual surveillance for airport monitoring applications. In: 11th Computer Vision Winter Workshop 2006, Telc, Czech Republic.

Al Ghamdi, S., Di Fatta, G. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2015) Optimisation techniques for parallel K-Means on MapReduce. In: Proceedings of the 8th International Conference on Internet and Distributed Computing Systems - Volume 9258, pp. 193-200.

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Baker, T., Al-Libawy, H., Waraich, A., Chalmers, C. and Alfandi, O. (2018) Fog computing framework for internet of things applications. In: 11th International Conference on Developments in eSystems Engineering (DeSE), 02-05 Sep 2018, Cambridge, UK, pp. 71-77. doi: https://doi.org/10.1109/DeSE.2018.00017

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Baker, T., Waraich, A., Al-Jumeily, D. and Hussain, A. (2018) IoT-fog optimal workload via fog offloading. In: IEEE/ACM International Conference on Utility and Cloud Computing Companion, 17-20 Dec 2018, Zurich, Switzerland, pp. 359-364. doi: https://doi.org/10.1109/UCC-Companion.2018.00081

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Baker, T., Waraich, A., Alfandi, O. and Hussien, A. (2019) Enabling high performance fog computing through fog-2-fog coordination model. In: IEEE/ACS 16th International Conference on Computer Systems and Applications, 3-7 Nov 2019, Abu Dhabi, UAE. doi: https://doi.org/10.1109/AICCSA47632.2019.9035353

AlDabbagh, A., Di Fatta, G. and Liotta, A. (2019) The distributed p-median problem in computer networks. In: ICCSA 2019 Conference, 1-4 Jul 2019, Saint Petersburg, Russia, pp. 541-556. doi: https://doi.org/10.1007/978-3-030-24311-1_39

Alamoudi, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2020) Plant leaf recognition using texture features and semi-supervised spherical K-means clustering. In: 2020 International Joint Conference on Neural Networks (IJCNN), 19-24 July 2020, Glasgow, United Kingdom (virtual). doi: https://doi.org/10.1109/IJCNN48605.2020.9207386

Alforov, Y., Novikova, A., Kuhn, M., Kunkel, J. and Ludwig, T. (2018) Towards green scientific data compression through high-level I/O interfaces. In: SBAC-PAD 2018, 24-27 September, Lyon, France, pp. 209-216.

Aljaidi, M., Aslam, N., Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X, Kaiwartya, O., Al-Gumaei, Y. A. and Khalid, M. (2022) A reinforcement learning-based assignment scheme for EVs to charging stations. In: 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), 19-22 June 2022, Helsinki, Finland. doi: https://doi.org/10.1109/VTC2022-Spring54318.2022.9860535

Allan, A. and Di Fatta, G. (2010) Effectiveness of landmark analysis for establishing locality in p2p networks. In: The Second International Conference on Advances in P2P Systems (AP2PS 2010), 25-30 October 2010, Florence, Italy, pp. 88-92. (ISBN: 9781612081021)

Allan, A., Bradbury, J. and Di Fatta, G. (2011) Virtual landmarking for locality aware peer IDs. In: ThinkMind // AP2PS 2011, The Third International Conference on Advances in P2P Systems , November 20, 2011 to November 25, 2011 , Lisbon, Portugal, pp. 7-12.

Almutairi, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2019) A rule-based classifier with accurate and fast rule term induction for continuous attributes. In: 17th International Conference on Machine Learning and Applications, 17th to 20th of December 2018, Orlando, Florida, pp. 413-420.

Almutairi, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Jennings, M., Le, T. and Bramer, M. (2016) Towards expressive modular rule induction for numerical attributes. In: Thirty-sixth SGAI International Conference on Artificial Intelligence, 13-15 DECEMBER 2016, Cambridge, UK, pp. 229-235.

Alsaffar, E., Sun, L. and Kabeil, M.M. (2009) E-governments' role activation in arab countries. In: International Conference on Information Management and Engineering (ICIME 2009) , Kuala Lumpur, Malaysia. doi: https://doi.org/10.1109/ICIME.2009.27

Alsaffar, E., Sun, L. and Kabeil, M.M. (2007) Impact of e-procurement systems on UAE government services. In: International Conference on Adaptive Business Systems (ICABS 2007), Chengdu, China.

Alsaffar, E., Sun, L. and Kabeil, M.M. (2009) A design of e-procurement infrastructure model for public service sector. In: 2nd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2009) , Beijing, China. doi: https://doi.org/10.1109/ICCSIT.2009.5234601

Alyami, R. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2018) Do exergames motivate seniors to exercise? Computer graphics impact. In: Cambridge Workshop on Universal Access and Assertive Technology, 9-11 April 2018, Cambridge, UK, pp. 227-235.

Amoudi, S. A., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2024) Modified probabilistic neural networks LBP classification based on distance measures in probability space. In: The 21st UK Workshop on Computational Intelligence, 7-9 Sep 2022, Sheffield, pp. 117-128. doi: https://doi.org/10.1007/978-3-031-55568-8_10 (ISBN: 9783031555671)

Anderson, J. (2011) Evolutionary and revolutionary effects of transcomputation. In: 2nd IMA Conference on Mathematics in Defence 2011, October 2011, Defence Academy of the United Kingdom, Shrivenham, England..

Anderson, J. (2015) Transmathematical basis of infinitely scalable pipeline machines. In: ICCS 2015 Computational Science at the Gates of Nature, pp. 1828-1837.

Anderson, J. A. D. W. (2002) Robot free will. In: ECAI 2002: 15th European Conference on Artificial Intelligence, 21-26 Jun 2002, Lyon, France, pp. 559-563.

Anderson, J. A. D. W. (1989) Visual conviction. In: The Fifth Alvey Vision Conference, 1989, UK, pp. 301-303.

Anderson, J. A. D. W., Sullivan, G.D. and Baker, K. (1988) Constrained constructive solid geometry: a unique representation of scenes. In: The Fourth Alvey Vision Conference, 1988, UK, pp. 91-96.

Anderson, J. A. D. W. (2002) Exact numerical computation of the rational general linear transformations. In: SPIE Vision Geometry XI, 7 July 2002, Seattle, USA, pp. 22-28. doi: https://doi.org/10.1117/12.446427

Anderson, J. A. D. W. (2002) Perspex machine. In: SPIE Vision Geometry XI, 7 July 2002, Seattle, USA, pp. 10-21. doi: https://doi.org/10.1117/12.446428

Anderson, J. A.D.W. and Gomide, W. (2014) Transreal arithmetic as a consistent basis for paraconsistent logics. In: International Conference on Computer Science and Applications (WCECS 2014), 22-24 October 2014, San Francisco, USA,, pp. 103-108.

Anderson, J. A.D.W. and dos Reis, T. S. (2014) Transreal limits expose category errors in IEEE 754 floating-point arithmetic and in mathematics. In: International Conference on Computer Science and Applications (WCECS 2014), 22-24 October 2014, San Francisco, USA,, pp. 86-91.

Anderson, J. A.D.W. (2014) Trans-floating-point arithmetic removes nine quadrillion redundancies from 64-bit IEEE 754 floating-point arithmetic. In: International Conference on Computer Science and Applications (WCECS 2014), 22-24 October, 2014, San Francisco, USA, pp. 80-85.

Anderson, J.A.D.W. (2005) Perspex Machine II: Visualisation. In: Vision Geometry XIII. Proceedings of SPIE, San Jose, CA, USA.

Anderson, J.A.D.W. (2005) Perspex Machine III: Continuity Over the Turing Operations. In: Vision Geometry XIII. Proceedings of SPIE , San Jose, CA, USA.

Anderson, J.A.D.W. (2006) Perspex machine VII: The universal perspex machine. In: Conference on Vision Geometry 14, San Jose, USA.

Anderson, J.A.D.W. (2007) Perspex machine IX: transreal analysis. In: SPIE. doi: https://doi.org/10.1117/12.698161

Anderson, J.A.D.W., Volker, N. and Adams, A.A. (2007) Perspex machine VIII: axioms of transreal arithmetic. In: SPIE. doi: https://doi.org/10.1117/12.698153

Andersson, M., Johansson, R., Stenborg, K.-G., Forsgren, R., Cane, T., Taberski, G., Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629 and Ferryman, J. (2016) The IPATCH system for maritime surveillance and piracy threat classification. In: 2016 European Intelligence and Security Informatics Conference (EISIC), 17-19 Aug 2016, Uppsala, Sweden, p. 200. doi: https://doi.org/10.1109/EISIC.2016.054

Aquilera, J., Wildernauer, H., Kampel, M., Borg, M., Thirde, D. and Ferryman, J. (2005) Evaluation of Motion Segmentation Quality for Aircraft Activity Surveillance. In: The Second Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS 2005), Beijing, China.

Ashdown, I. D. and Mitchell, R. J. (2005) Dynamic automata for mobile robot learning. In: Proceedings of the IASTED International Conference on Computational Intelligence, Calgary.

Ashlam, A. A., Badii, A. and Stahl, F. (2023) Data-mining and hashing to prevent application-layer DDoS and SQL injection attacks. In: 2023 IEEE International Conference on Advanced Systems and Emergent Technologies, 29 Apr 2023 - 01 May 2023, Hammamet, Tunisia. doi: https://doi.org/10.1109/ic_aset58101.2023.10150694

Ashlam, A. A., Badii, A. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2022) Multi-phase algorithmic framework to prevent SQL injection attacks using improved machine learning and deep learning to enhance database security in real-time. In: 15th International Conference on Security of Information and Networks (SIN), 11 - 13 November 2022, Sousse, Tunisia. doi: https://doi.org/10.1109/SIN56466.2022.9970504 (IEEE Xplore)

Ashlam, A. A., Badii, A. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2022) A novel approach exploiting machine learning to detect SQLi attacks. In: 5th International Conference on Advanced Systems and Emergent Technologies, 22-25 Mar 2022, Hammamet, Tunisia. doi: https://doi.org/10.1109/IC_ASET53395.2022.9765948

Ausoni, J. T., Mitchell, R. and Holderbaum, W. ORCID: https://orcid.org/0000-0002-1677-9624 (2014) Towards optimizing the selection of neurons in affordable neural networks. In: The 2014 International Conference on Artificial Intelligence, July 21-24, 2014,, Las Vegas, Nevada, USA.

Ayiad, M. M. and Di Fatta, G. (2019) An adaptive restart mechanism for continuous epidemic systems. In: International Conference on Internet and Distributed Computing Systems, 10-12 October, Naples, Italy, pp. 57-68. doi: https://doi.org/10.1007/978-3-030-34914-1_6

Ayiad, M. M. and Di Fatta, G. (2018) Agreement in epidemic data aggregation. In: The 23rd IEEE International Conference on Parallel and Distributed Systems (ICPADS), Dec. 15-17, 2017, Shenzhen, China.

Ayiad, M. M. and Di Fatta, G. (2018) Robust epidemic aggregation under churn. In: The 10th International Conference on Internet and Distributed Computing System 2017 (IDCS 2017), 11 -13 December 2017, Mana Island Resort & Spa, Fiji, pp. 173-185.

Ayiad, M., Katti, A. and Di Fatta, G. (2016) Agreement in epidemic information dissemination. In: International Conference on Internet and Distributed Computing Systems, 28-30 Sept 2016, Wuhan, China, pp. 95-106. doi: https://doi.org/10.1007/978-3-319-45940-0_9

Badii, A. (2008) Research agenda in context-specific semantic resolution of security and QoS for ambient intelligence. In: The internet of things and services 1st international research workshop, Sophia-Antipolis, France.

Badii, A. (2008) User-intimate requirements hierarchy resolution framework (UI-REF). In: AmI-08: Second European Conference on Ambient Intelligence, Nuremberg, Germany.

Badii, A. (2008) Virtual user systems: the rationale and practice. In: Ambient assisted living: virtual user platforms, Lyon, France.

Badii, A. (2008) The challenges in intimate-assistive-rehabilitative systems design: from requirements to design and evaluation. In: 1st CompanionAble Workshop at the AbleTech08 , Bilbao, Spain.

Badii, A. (2008) The internet of things and services: a research agenda. In: Internet of Things & Services (IoTS) Network Session at the European ICT Conference (ICT 2008), Lyon, France.

Badii, A. and Fuschi, D.L. (2008) User-intimate requirements hierarchy resolution framework (UI-REF) in work-flow design for 3D media production and distribution. In: 4th international conference on automated solutions for cross media content and multi-channel distribution, Florence, Italy.

Badii, A. and Patel, D. (2008) Evolving features-algorithms knowledge map to support NIDS data intelligence and learning loop architecting – a generalised approach to NIDS pattern feature space knowledge processing. In: European and Mediterranean conference on information systems 2008 (EMCIS 2008), Al Bostan Rotana, Dubai, UAE.

Badii, A. and Thiemert, D. (2009) The CompanionAble Project. In: CIB W098 international workshop, Belgium .

Badii, A. and Thiemert, D. (2009) UI-REF for AAL in the context of IoPTS. In: 3rd International Workshop on Trustworthy Internet of People, Things and Services (IoPTS) , Brussels, Belgium.

Badii, A. and Thiemert, D. (2009) The future of human machine interaction – integrated robots and smart homes. In: International Conference ICT that makes the Difference, Brussels, Belgium.

Badii, A. and Thiemert, D. (2009) The integrated framework architecture of the companionAble robot and smart home. In: 2nd CompanionAble Workshop co-located with the AmI2009 , Salzburg, Austria.

Badii, A., Adetoye, A., Patel, D. and Hameed, K. (2008) Efficient FPGA-based regular expression pattern matching. In: European and Mediterranean conference on information systems 2008 (EMCIS 2008), Al Bostan Rotana, Dubai, UAE.

Badii, A., Adetoye, A., Thiemert, D. and Hoffmann, M. (2008) A framework architecture for semantic resolution of security for AMI. In: The internet of things and services 1st international research workshop, Sophia-Antipolis, France.

Badii, A., Adetoye, A.O., Thiemert, D. and M., H. (2009) Hydra semantic security resolution framework to support ambient intelligent environments. In: 1st International Workshop on Distributed Computing in Ambient Environments (DiComAe) at 32nd Annual Conference on Artificial Intelligence, Paderborn, Germany.

Badii, A., Bagnoli, F., Balazs, B., Castellani, T., D'Orazio, D., Ferri, F., Grifoni, P., Pacini, G., Serban, O. and Valente, A. (2016) Collective awareness platforms and digital social innovation mediating consensus seeking in problem situations. In: International Conference on Internet Science, 12-14 Sep 2016, Florence, Italy, pp. 55-65. doi: https://doi.org/10.1007/978-3-319-45982-0_5

Badii, A., Carter, A., Handzlik, A., Bojanic, S., Englert, T., Patel, D., Pejovic, V., Chorazyczewski, A., Hameed, K. and Bankovic, Z. (2009) Real-time context-aware network security policy enforcement system (RC-NSPES). In: 5th International Conference on Networking and Services (ICNS), Valencia, Spain.

Badii, A., D., F. and Zhu, M. (2009) Integrative workflow-embedded support for process automation and management. In: European and Mediterranean conference on information systems 2009 (EMCIS2009), Izmir, Turkey .

Badii, A., Einig, M., Tiemann, M., Thiemert, D. and Lallah, C. (2012) Visual context identification for privacy-respecting video analytics. In: IEEE 14th International Workshop on Multimedia Signal Processing (MMSP 2012), 17-19 Sep 2012, Banff, Canada, pp. 366-371.

Badii, A., Faulkner, R., Raval, R., Glackin, C. and Chollet, G. (2017) Accelerated encryption algorithms for secure storage and processing in the cloud. In: 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 22-24 May 2017, Fez, Morocco, pp. 1-6. doi: https://doi.org/10.1109/ATSIP.2017.8075572

Badii, A., Khan, A. and D., F. (2009) One’s own soundtrack: affective music synthesis. In: European and Mediterranean conference on information systems 2009 (EMCIS2009), Izmir, Turkey.

Badii, A., Khan, A., Adetoye, A. and Fuschi, D. (2008) High resolution digital media personalisation for all delivery context device agents. In: 14th International Conference on Distributed Multimedia Systems (DMS 2008), Boston, USA.

Badii, A., Patel, D. and Bragg, H. (2008) Design and evaluation of intelligent classifier based intrusion detection system. In: European and Mediterranean conference on information systems 2008 (EMCIS 2008), Al Bostan Rotana, Dubai, UAE.

Badii, A., Zhu, M., Lallah, C. and Crouch, M. (2009) Semantic-driven context-aware visual information indexing and retrieval: applied in the film post-production domain. In: Workshop on Computational Intelligence for Visual Intelligence (CIVI), Nashville, Tennessee, USA.

Badii, A. and Boudy, J. (2009) CompanionAble: integrated cognitive assistive and domotic companion robotic systems for ability and security. In: 1st Congres of the Société Française des Technologies pour l’Autonomie et de Gérontechno- logie (SFTAG’09), Troyes, France.

Badii, A. and Thiemert, D. (2008) A framework towards multi-modal fingerprinting scheme for multimedia assets. In: European and Mediterranean conference on information systems 2008 (EMCIS 2008), Al Bostan Rotana, Dubai, UAE.

Badii, A. and Thiemert, D. (2009) CompanionAble: integrated cognitive assistive and domotic companion robotic systems for ability and security. In: Workshop on Human-Machine-Interaction at KI 2009, Paderborn, Germany.

Bamford, C. D. and Mitchell, R. J. (2010) Cavalcade neural network for mobile robot. In: 9th IEEE International Conference on Cybernetic Intelligent Systems, 1-2 Sept 2010, Reading, UK.

Bandyopadhyay, D., Dasgupta, K., Mandal, J. K., Dutta, P., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Snášel, V. (2014) A framework of secured and bio-inspired image steganography using chaotic encryption with genetic algorithm optimization (CEGAO). In: Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA, 23-25 Jun 2014, Ostrava, Czech Republic, pp. 271-280. doi: https://doi.org/10.1007/978-3-319-08156-4_27

Bankovic, Z., Bojanic, S. , Nieto-Taladriz, O. and Badii, A. (2007) Increasing detection rate of user-to-root attacks using genetic algorithms. In: The International Conference on Emerging Security Information, Systems, and Technologies (SecureWare 2007), Valencia, Spain. doi: https://doi.org/10.1109/SECUREWARE.2007.4385309

Barillot, M., Barthelemy, E., Bastard, L., Broquin, J. E., Hawkins, G. J., Kirschner, V., Ménard, S., Parent, G., Poinsot, C., Pradel, A., Vigreux, C., Zhang, S. and Zhang, X. (2010) Integrated optics for nulling interferometry in the thermal infrared: progress and recent achievements. In: International Conference on Space Optics (ICSO 2010), 4 -8 Oct 2010, Greece.

Bartels, M. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2007) Case study: object and ground point separation on a river bank using airborne based LIDAR data. In: Remote Sensing and Photogrammetry Society Annual Conference 2007, Newcastle, UK.

Bartels, M. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2006) Maximum likelihood classification of LIDAR data incorporating multiple co-registered bands. In: 4th International Workshop on Pattern Recognition in Remote Sensing in conjunction with the 18th International Conference on Pattern Recognition 2006, Hong Kong, 17 - 20.

Bartels, M. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2006) Rule-based improvement of maximum likelihood classified LIDAR data fused with co-registered bands. In: Annual Conference of the Remote Sensing and Photogrammetry Society, Cambridge, United Kingdom.

Bartels, M. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2006) Segmentation of LIDAR data using measures of distribution. In: ISPRS Mid-term Symposium 2006 "Remote Sensing: From Pixels to Processes", WG V11/4 Advanced Classification Techniques, Enshede, Netherlands.

Bartels, M. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2006) Towards DTM generation from LIDAR data in hilly terrain using wavelets. In: Proceedings of 4th International Workshop on Pattern Recognition in Remote Sensing in conjunction with ICPR 2006, Hong Kong, 33 - 36.

Bartels, M., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Ferryman, J. (2006) Analysis of LIDAR data fused with co-registered bands. In: International Conference on Advanced Visual Surveillance 2006, Sydney, Australia.

Bartels, M., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Mason, D.C. (2005) Wavelet packets and co-occurrence matrices for texture-based image segmentation. In: IEEE International Conference on Advanced Video and Signal-Based Surveillance, Como, Italy.

Bartels, M., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Mason, D.C. ORCID: https://orcid.org/0000-0001-6092-6081 (2006) DTM generation from LIDAR data using skewness balancing. In: 18th Int. Conference on Pattern Recognition (ICPR 2006), AUG 20-24, 2006, Hong Kong, pp. 566-569.

Basterrech, S. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2016) Temporal learning using echo state network for human activity recognition. In: 2016 Third European Network Intelligence Conference (ENIC), 5-7 Sep 2016, Wrocław, Poland, pp. 217-223. doi: https://doi.org/10.1109/ENIC.2016.039

Berclaz, J., Shahrokni, A., Fleuret, F., Ferryman, J. and Fua, P. (2009) Evaluation of probabilistic occupancy map people detection for surveillance systems. In: Eleventh IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Miami, Florida, USA, pp. 55-62.

Berthold, M. R., Cebron, N., Dill, F., Di Fatta, G., Gabriel, T. R., Georg, F., Meinl, T., Ohl, P., Sieb, C. and Wiswedel, B. (2006) KNIME: the Konstanz Information Miner. In: Workshop on Multi-Agent Systems and Simulation (MAS&S), 4th Annual Industrial Simulation Conference (ISC), 05-07 June 2006, Palermo, Italy, pp. 58-61.

Berthold, M., Cebron, N., Dill, F., Di Fatta, G., Gabriel, T., Georg, F., Meinl, T., Ohl, P., Sieb, C. and Wiswedel, B. (2006) Knime: the Konstanz Information Miner. In: Proceedings of the International Workshop on Multi-Agent Systems and Simulation (MAS&S) 4th Annual Industrial Simulation Conference (ISC), Palermo, Italy, 58 - 61.

Betke, E. and Kunkel, J. (2018) Benefit of DDN's IME-FUSE for I/O intensive HPC applications. In: Workshop on Performance and Scalability of Storage Systems, 24-28 June 2018, Frankfurt, Germany, pp. 131-144. (ISBN 9783030024642)

Betke, E. and Kunkel, J. (2019) Footprinting parallel I/O – machine learning to classify application’s I/O behavior. In: HPC IODC workshop, pp. 214-226. doi: https://doi.org/10.1007/978-3-030-34356-9_18

Betke, E. and Kunkel, J. (2020) Semi-automatic assessment of I/O behavior by inspecting the individual client-node timelines— an explorative study on 10^6 jobs. In: ISC HPC, 21-25 Jun 2020, Frankfurt, Germany, pp. 166-184. doi: https://doi.org/10.1007/978-3-030-50743-5_9

Biresaw, T. A., Nawaz, T., Ferryman, J. and Dell, A. I. (2016) ViTBAT: video tracking and behavior annotation tool. In: 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 23-26 Aug. 2016, Colorado Springs, USA, pp. 295-301.

Blasa, F., Cafiero, S., Fortino, G. and Di Fatta, G. (2011) Symmetric Push-Sum Protocol for decentralised aggregation. In: ThinkMind // AP2PS 2011, The Third International Conference on Advances in P2P Systems , November 20, 2011 to November 25, 2011 , Lisbon, Portugal, pp. 27-32.

Boness, K. and Harrison, R. (2015) The synergies between goal sketching and enterprise architecture. In: Model Driven Requirements Engineering (MoDRE) Workshop, 24 August 2015, Ottawa, Canada.

Boness, K., Harrison, R. and Liu, K. (2005) Acknowledging the implications of requirements. In: 7th (ICEIS) International Conference on Enterprise Information Systems, 25-28 May 2005, Miami, pp. 337-342. (Unpublished)

Boness, K. D. (1990) Application of personal computers to eddy current inspections. In: IEE Colloquium on NDT Technology in Aerospace, 15 Jan 1990, London, 7/1-7/2.

Boness, K. D. (1988) Information technology in NDT. In: British Nondestructive Testing and Inspection Conference, '88, 1988.

Boness, K. D. and Midgley, D. (1977) Computer solutions of smooth and periodic waveguides. In: IEEE Conference on Computer-Aided-Design of Electronic and Microwave Circuits and Systems, 12-14 July 1977, University of Hull.

Boness, K. D., Holt, C.C. and Holt, R.P. (1983) Verification of nuclear material (SNM) contained by means of ultrasonic inspection and fingerprinting. In: Fifth Annual Symposium on Safeguards and Nuclear Material Management, Versailles, 1983, 16 April 1983, pp. 91-94.

Boness, K. D., Whitehead, N.P., Pople, C. and Deane, J.A. (1981) A portable recorder and a versatile display generator for ultrasonic survey data. In: Ultrasonics International 81, June-July 81, Brighton, pp. 56-61.

Boness, K. D. and Harrison, R. (2009) Goal sketching and the business case. In: ICSEA '09: the Fourth International Conference on Software Engineering Advances, 20-25 Sept 2009, Porto, Portugal, pp. 203-209.

Boness, K. D. and Harrison, R. (2008) Goal sketching with activity diagrams. In: Third International Conference on Software Engineering Advances (ICSEA 2008), 26-31 Oct 2008, Sliema, Malta, pp. 277-283.

Boness, K. D. and Harrison, R. (2007) Goal sketching: towards agile requirements engineering. In: Second International Conference on Software Engineering Advances (ICSEA 2007), 25-31 Aug 2007, Cap Esterel, France, p. 71.

Boness, K. D., Bartsch, M., Cook, S. and Harrison, R. (2005) A practical approach to goal modelling for time-constrained projects. In: Ist International Workshop on Requirements Engineering of Information Systems for the Digital Economy (REISDE), 2nd ICETE International Conference on e-Business and Telecommunications, Microsoft, Reading UK, 3-7 Oct 2005, Microsoft Convention Centre, Reading, UK.

Borg, M., Thirde, D., Ferryman, J., Baker, K., Aquilera, J. and Kampel, M. (2005) Evaluation of Object Tracking for Aircraft Activity Surveillance. In: The Second Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS 2005), Beijing, China.

Borg, M., Thirde, D., Ferryman, J., Fusier, F., Bremond, F. and Thonnat, M. (2005) An Integrated Vision System for Aircraft Activity Monitoring. In: The IEEE PETS2005 Workshop, Breckenridge, CO, USA.

Borg, M., Thirde, D., Ferryman, J., Fusier, F., Valentin, V., Bremond, F. and Thonnat, M. (2005) Video Event Recognition for Aircraft Activity Monitoring. In: The 8th International IEEE Conference on Intelligent Transportation Systems (ITSCA'05), Vienna, Austria.

Borg, M., Thirde, D., Ferryman, J., Fusier, F., Valentin, V., Bremond, F. and Thonnat, M. (2005) Video Surveillance for Aircraft Activity Monitoring. In: The IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS'05), Como, Italy.

Borg, M., Thirde, D., Ferryman, J., Fusier, F., Valentin, V., Bremond, F., Thonnat, M., Aquilera, J. and Kampel, M. (2005) Automated Scene Understanding for Airport Aprons. In: The 18th Australian Joint Conference on Artificial Intelligence (AI05), Sydney, Australia.

Borg, M., Thirde, D., Ferryman, J., Fusier, F., Valentin, V., Bremond, F., Thonnat, M., Aquilera, J. and Kampel, M. (2005) Visual Surveillance for Aircraft Activity Monitoring. In: The Second Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS 2005), Beijing, China.

Boyle, J. ORCID: https://orcid.org/0000-0002-5785-8046 and Ferryman, J. (2015) Vehicle subtype, make and model classiﬁcation from side proﬁle video. In: 12th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS2015), August 25-28, 2015, Karlsruhe, Germany, pp. 1-6.

Boyle, J. ORCID: https://orcid.org/0000-0002-5785-8046, Nawaz, T. and Ferryman, J. (2017) Deep trajectory representation-based clustering for motion pattern extraction in videos. In: 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 29 Aug.-1 Sept. 2017, Lecce, Italy.

Brown, N., Weiland, M., Hill, A., Shipway, B., Maynard, C., Allen, T. and Rezny, M. (2015) A highly scalable Met Office NERC Cloud model. In: Exascale Applications and Software Conference 2015, 21 - 23 April 2015, Edinburgh, UK, pp. 132-137.

Byne, J.H.M. and Anderson, J. A. D. W. (1997) Complete robot-eye calibration without special calibration objects. In: SPIE 3029: Machine Vision Applications in Industrial Inspection, 10 Feb 1997, San Jose, CA,USA, pp. 92-100. doi: https://doi.org/10.1117/12.271232

Cane, T. and Ferryman, J. (2018) Evaluating deep semantic segmentation networks for object detection in maritime surveillance. In: 15th IEEE International Conference on Advanced Video and Signal-based Surveillance, 27-30 Nov 2018, Auckland, New Zealand, pp. 1-6.

Cane, T. and Ferryman, J. (2016) Saliency-based detection for maritime object tracking. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 26 June-1 July 2016, Las Vegas, USA, pp. 1257-1264.

Cao, J. and Sun, L. (2009) Articulation of stakeholders requirements for complex e-government systems development. In: International Conference on Information Management and Engineering (ICIME 2009), Kuala Lumpur, Malaysia. doi: https://doi.org/10.1109/ICIME.2009.55

Cao, Y., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Bartels, M. (2008) Comparison of rule-based ML algorithm and MRF model in land-cover classification from LIDAR and co-registered bands. In: RSPSoc Annual Conference: Measuring Change in the Earth System, Falmouth, UK.

Cao, Y., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Zhao, H.J. (2008) Optimization algorithms in FMRF model-based segmentation for LIDAR data and co-registered bands. In: 5th IAPR Workshop on Pattern Recognition in Remote Sensing, Tampa, Florida, USA. doi: https://doi.org/10.1109/PRRS.2008.4783166

Cao, Y., Zhao, H., Li, N. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2011) Land-cover classification from airborne LIDAR data fused with aerial optical images. In: 2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping (M2RSM), 10-12 January 2011, Xiamen, China. (ISBN: 9781424494026)

Carboni, D., Badii, A., Piras, A., Tiemann, M., Pintus, A. and Serra, A. (2013) Scripting a smart city: the CityScripts experiment in Santander. In: International Workshop on Pervasive Internet of Things and Smart Cities (PITSaC-2013), 25-28 Mar 2013, Barcelona, Spain.

Carter, N., Young, D. and Ferryman, J. (2006) Supplementing Markov chains with additional features for behavioural analysis. In: International Conference on Advanced Visual Surveillance, Sydney, Australia.

Chatterjee, T., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Adhikari, M., Banerjee, S., Biswas, U. and Snášel, V. (2014) Design and implementation of an improved datacenter broker policy to improve the QoS of a cloud. In: Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA, 23-25 Jun 2014, Ostrava, Czech Republic, pp. 281-290. doi: https://doi.org/10.1007/978-3-319-08156-4_28

Chella, A., Di Fatta, G., Gaglio, S., Guarino, M.D., Infantino, I., Lo Re, G. and Sajeva, G. (1998) A distributed architecture for cognitive teleautonomy. In: AI*IA-98 Workshop on New Trends in Robotics, 25 Sept 1998, Padua, Italy, pp. 322-326.

Chen, H., Gong, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2011) Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence. In: ICASSP'2011: the 36th International Conference on Acoustics, Speech and Signal Processing, 22-27 May 2011, Prague, Czech Republic, pp. 2132-2135.

Chen, H., Gong, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2012) Adaptive noise cancellation with fast tunable RBF network. In: SSPD 2012: Sensor Signal Processing for Defence, 25-27 September 2012, Imperial College, London.

Chen, L. and Ferryman, J. (2015) Combining 3D and 2D for less constrained periocular recognition. In: IEEE Seventh International Conference on Biometrics: Theory, Applications and Systems (BTAS2015), September 8-11, 2015, Arlington, US, pp. 1-6.

Chen, L., Boyle, J. ORCID: https://orcid.org/0000-0002-5785-8046, Danelakis, A., Ferryman, J., Ferstl, S., Gicic, D., Grudzień, A., Howe, A., Marcin, K., Mierzejewski, K. and Theoharis, T. (2021) D4FLY multimodal biometric database: multimodal fusion evaluation envisaging on-the-move biometric-based border control. In: 2021 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 16-19 NOV 2021, Virtual. doi: https://doi.org/10.1109/AVSS52988.2021.9663737

Chen, L., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Ferryman, J. (2011) Recognition of everyday domestic activities using a depth sensor. In: BMVC Workshop, September 2011, Dundee UK.

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2014) On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers. In: 2014 International Joint Conference on Neural Networks (IJCNN), July 6-11, 2014, Beijing, China.

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2002) Sparse data modelling using combined locally regularized orthogonal least squares and D-optimality design. In: CASIA & CACSUK 2002, 20-21 Sep 2002, Beijing, China.

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J. (2006) Construction of RBF classifiers with tunable units using orthonogal forward selection based on leave-one-out misclassification rate. In: Proceedings of 2006 International Joint Conference on Neural Networks, Vancouver, Canada, 6390 - 6394.

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J. (2008) Fully complex-valued radial basis function networks for orthogonal least squares regression. In: International Joint Conference on Neural Networks 2008 (IJCNN), Hong Kong, China. doi: https://doi.org/10.1109/IJCNN.2008.4633759

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J. (2009) Grey-box radial basis function modelling: the art of incorporating prior knowledge. In: 15th Workshop on Statistical Signal Processing (SSP 2009), Cardiff, Wales, UK. doi: https://doi.org/10.1109/SSP.2009.5278559

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J. (2007) Probability density function estimation using orthogonal forward regression. In: International Joint Conference on Neural Networks (IJCNN 2007), Orlando, USA. doi: https://doi.org/10.1109/IJCNN.2007.4371350

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J. (2008) Sparse kernel density estimator using orthogonal regression based on D-optimality experimental design. In: International Joint Conference on Neural Networks 2008 (IJCNN), Hong Kong, China. doi: https://doi.org/10.1109/IJCNN.2008.4633758

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J. (2007) Sparse kernel modelling: a unified approach. In: 8th International Conference on Intelligent Data Engineering and Automated Learning, Birmingham, UK.

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Khalaf, E., Alsaadi, F. E. and Harris, C. J. (2016) Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems. In: IJCNN 2016, 25-29, July, 2016, Vancouver.

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Luk, B. L. and Harris, C.J. (2009) A tunable radial basis function model for nonlinear system identification using particle swarm optimisation. In: 48th IEEE Conference on Decision and Control, held jointly with the 28th Chinese Control Conference (CDC/CCC 2009), Shanghai, China, pp. 6762-6767. doi: https://doi.org/10.1109/CDC.2009.5399687

Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Wang, X.X. and Harris, C.J. (2005) Sparse generalised kernel modelling for nonlinear systems. In: Proc of the Joint 44th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC'05), Seville, Spain.

Chen, Z., Clements-Croome, D.J., Liu, K. and Sun, L. (2006) An intelligent decision support system for well-being and energy-saving oriented building performance assessment. In: Proceedings of NCEUB International Conference on Comfort and Energy Use in Buildings, Windsor, United Kingdom.

Choudri, S., Ferryman, J. and Badii, A. (2009) Robust background model for pixel based people counting using a single uncalibrated camera. In: Twelfth IEEE international workshop on performance evaluation of tracking and surveillance (PETS-Winter), Snowbird, Utah, USA. doi: https://doi.org/10.1109/PETS-WINTER.2009.5399531

Chung, S., Robertson, S., Minnaar, A., Cook, M. and Sun, L. (2014) Developing a knowledge management system using an ontological approach in global organisation. In: 15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, 23-24 May 2014, Shanghai, China, pp. 340-347. (Service Science and Knowledge Innovation Liu, K., Gulliver, S.R., Li, W., Yu, C. (Eds.))

Cook, S., Boness, K., Bartsch, M., Harrison, R. and Wernick, P. (2005) A pattern language for goals. In: REDECS 2005, The Requirements Engineering Decision Support Workshop ... in conjunction with the 13th IEEE Requirements Engineering Conference, 29 Aug 2005, Paris, France, pp. 7-14. (Unpublished)

Dai, Z., He, L., Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 and Leeke, M. (2023) Revealing ongoing sensor attacks in industrial control system via setpoint modification. In: IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC), 14-17 Nov 2023, Abu Dhabi, United Arab Emirates. doi: https://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361334

Di Fatta, G., Genco, A. and Lo Re, G. (1997) Bottlenecks in name resolution of migrating processes. In: High Performance Computing, 1997, Santiago de Compostela, Spain, pp. 73-82.

Di Fatta, G., Lo Re, G. and Lopes, S. (1998) Transmission protocols processing in a resource reservation environment. In: SCS Euromedia '98, 5-7 Jan 1998, Leicester, UK, pp. 8-13.

Di Fatta, G. and Berthold, M. R. (2004) Distributed mining of molecular fragments. In: DM-Grid 2004, IEEE Workshop on Data Mining and the Grid in conjunction with ICDM 2004, 1 Nov 2004, Brighton, UK. (Unpublished)

Di Fatta, G. and Berthold, M. R. (2005) Efficient mining of discriminative molecular fragments. In: 17th IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS-05), 14-16 Nov 2005, Phoenix, AZ, USA, pp. 619-625.

Di Fatta, G. and Fortino, G. (2007) A customizable multi-agent system for distributed data mining. In: The 22nd ACM Symposium on Applied Computing (SAC 2007), March 11-15, 2007, Seoul, Korea, pp. 42-47. doi: https://doi.org/10.1145/1244002.1244012

Di Fatta, G. and Lo Re, G. (2001) Active networks: an evolution of the internet. In: AICA2001, 39th Annual Conference, 19-22 Sept 2001, Cernobbio, Italy, pp. 375-386.

Di Fatta, G., Blasa, F., Cafiero, S. and Fortino, G. (2011) Epidemic K-Means clustering. In: 2011 IEEE 11th International Conference on Data Mining Workshops (ICDMW), 2011, Vancouver, BC , pp. 151-158. doi: https://doi.org/10.1109/ICDMW.2011.76

Di Fatta, G., Fiannaca, A., Rizzo, R., Urso, A., Berthold, M. and Gaglio, S. (2006) Context-aware visual exploration of molecular databases. In: Int.l Workshop on Data Mining in Bioinformatics, 6th IEEE Int.l Conference on Data Mining ICDM 2006, 18-22 December 2006,, Hong Kong, China, pp. 136-141. doi: https://doi.org/10.1109/ICDMW.2006.51

Di Fatta, G., Gaglio, S., Lo Re, G. and Ortolani, M. (2000) Adaptive routing in active networks. In: OPENARCH 2000: Third IEEE Conference on Open Architectures and Network Programming - Short Paper Session, 27 March 2000, Tel-Aviv, Israel, pp. 8-11.

Di Fatta, G., Leue, S. and Stegantova, E. (2006) Discriminative pattern mining in software fault detection. In: 3rd International Workshop on Software Quality Assurance (SOQUA), 14th ACM Symposium on Foundations of Software Engineering, 06 Nov 1996, Portland, Oregon, USA, pp. 62-69.

Di Fatta, G., Leue, S. and Stegantova, E. (2006) Discriminative pattern mining in software fault detection. In: Proceedings of the 3rd International Workhop on Software Quality Assurance (SOQUA), 14th ACM Symposium on Foundations of Software Engineering (AGM SIGSOFT), Portland, Oregon, USA, 62 - 69.

Di Fatta, G., Lo Presto, G. and Lo Re, G. (2003) A parallel genetic algorithm for the Steiner Problem in Networks. In: The 15th IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS 2003), 3-5 Nov 2003, Marina del Rey, CA, USA, pp. 569-573.

Di Fatta, G., Reade, J. ORCID: https://orcid.org/0000-0002-8610-530X, Jaworska, S. ORCID: https://orcid.org/0000-0001-7465-2245 and Nanda, A. (2015) Big social data and political sentiment: the tweet stream during the UK General Election 2015 campaign. In: The 8th IEEE International Conference on Social Computing and Networking (SocialCom 2015), Dec. 19-21, 2015, Chengdu, China.

Di Fatta, G., Sheng, V. and Cuzzocrea, A. (2021) The IEEE ICDM 2020 Workshops. In: 2020 International Conference on Data Mining Workshops (ICDMW), 17-20 November 2020, Sorrento, pp. 26-29. doi: https://doi.org/10.1109/ICDMW51313.2020.00009 (IEEE International Conference on Data Mining Workshops (ICDM Workshops))

Dominguez, A. R., Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2024) Structured radial basis function network: modelling diversity for multiple hypotheses prediction. In: AI-2024 Forty-fourth SGAI International Conference on Artificial Intelligence, 17-19 December 2024, Cambridge, England. (In Press)

Evans, M. P. and Ferryman, J. (2006) Global-to-local histogram match culling for epipolar geometry estimation. In: International Conference on Advanced Visual Surveillance 2006, Sydney, Australia.

Evans, M.P., Williams, S.A., Parslow, P., Ashton, R.P., Lundqvist, K.O. and Porter-Daniels, E. (2008) The MeAggregator: personal aggregation and the life-long tail of the web. In: Seventh International Network Conference (INC 2008), Plymouth, UK, 8-10 .

Fernandez, A., Soto, I., Sun, L. and Liu, K. (2013) Modelling QoS of a pervasive MVNO/M2M using semi-group theory. In: 14th International Conference on Informatics and Semiotics in Organisation (ICISO), 25 -27 Mar 2013, Stockholm, Sweden, pp. 131-135.

Ferryman, J. (2009) Proceedings (PETS 2009). In: Eleventh IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS 2009), Miami, Florida, USA.

Ferryman, J. and Shahrokni, A. (2009) An overview of the PETS 2009 challenge. In: Eleventh IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Miami, Florida, USA.

Ferryman, J. and Shahrokni, A. (2009) PETS2009: dataset and challenge. In: Twelfth IEEE international workshop on performance evaluation of tracking and surveillance (PETS-Winter) , Snowbird, Utah, USA. doi: https://doi.org/10.1109/PETS-WINTER.2009.5399556

Ferryman, J. M., Worrall, A. D. and Maybank, S.J. (1998) Learning enhanced 3D models for vehicle tracking. In: BMVA 98: the British Machine Vision Conference, 1998, Southampton, pp. 873-882.

Ferryman, J. M., Maybank, S. J. and Worrall, A. D. (1998) Visual surveillance for moving vehicles. In: IEEE Workshop on Visual Surveillance (in conjunction with ICCV `98), 2nd January 1998, Mumbai, India, pp. 73-80. doi: https://doi.org/10.1023/A:1008155721192

Ferryman, J.M., Worrall, A.D., Sullivan, G.D. and Baker, K.D. (1995) A Generic Deformable Model for Vehicle Recognition. In: British Machine Vision Conference, 11-14th September 1995, Birmingham UK, pp. 127-136.

Fiannaca, A., Di Fatta, G., Rizzo, R., Urso, A. and Gaglio, S. (2007) Fast training of self organizing maps for the visual exploration of molecular compounds. In: Int.l Joint Conference on Neural Networks (IJCNN), Aug. 12-17, 2007, Orlando, Florida, pp. 2776-2781. doi: https://doi.org/10.1109/IJCNN.2007.4371399

Fieber, K. D., Davenport, I. J., Tanase, M. A., Ferryman, J., Gurney, R. J., Walker, J. P. and Hacker, J. M. (2013) Preliminary leaf area index estimates from airborne small footprint full-waveform LiDAR data. In: Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, 21-26 July 2013, Melbourne, VIC, pp. 3379-3382.

Fu, Y., Gao, J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Tien, D. (2014) Tensor regression based on linked multiway parameter analysis. In: IEEE International Conference on Data Mining 2014, 14-17 Dec 2014, Shenzhen, China.

Fu, Y., Gao, J., Sun, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2014) Joint multiple dictionary learning for tensor sparse coding. In: 2014 International Joint Conference on Neural Networks (IJCNN), July 6-11, 2014., Beijing, China.

Gadban, F., Kunkel, J. and Ludwig, T. (2020) Investigating the overhead of the REST protocol to reveal the potential for using cloud services for HPC storage. In: HPC I/O in the Data Center Workshop, 21-25 June 2020. doi: https://doi.org/10.1007/978-3-030-59851-8_10 (High Performance Computing. ISC High Performance 2020. Lecture Notes in Computer Science)

Gan, M., Sun, L. and Han, B. (2005) An Isomorphic Architecture for Enterprise Information Systems Integration. In: Proceedings of The First International Workshop on Requirements Engineering for Information Systems in Digital Economy (REISDE'05), Reading, UK.

Gao, H., Wang, S., Sun, L. and Nian, F. (2014) Hierarchical clustering based web service discovery. In: 15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, 23-24 May 2014, Shanghai, China, pp. 281-291. (Service Science and Knowledge Innovation Liu, K., Gulliver, S.R., Li, W., Yu, C. (Eds.))

Gao, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2011) On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems. In: IJCNN 2011, July 30th - August 5th, 2011, San Jose, CA,USA, pp. 1146-1153.

Gao, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2012) Probability density function estimation based over-sampling for imbalanced two-class problems. In: International Joint Conference on Neural Networks, 10-15 June 2012, Brisbane, Australia.

Gao, M., Sun, L., Wu, Z. and Jiang, F. (2008) An EPN-based method for web service composition. In: International Conference on Networking, Architecture, and Storage (NAS 2008), 12-14 Jun 2008, Chongqing, China, pp. 163-164. doi: https://doi.org/10.1109/NAS.2008.70

Giasemidis, G. and Vukadinovic Greetham, D. (2018) Optimising parameters in recurrence quantification analysis of smart energy systems. In: 9th International Conference on Information, Intelligence, Systems and Applications (IISA2018), 23-25 July 2015, Zakynthos, Greece.

Gomes, J., Adedoyin-Olowe, M., Gaber, M. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2013) Rule Type Identification using TRCM for trend analysis in Twitter. In: Thirty-Third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, 10-12 DECEMBER 2013, Cambridge UK, pp. 273-278.

Gomide, W., dos Reis, T. S. and Anderson, J. (2015) Transreal proof of the existence of universal possible worlds. In: Unilog 2015 - 5th World Congress and School on Universal Logic, June 25-30, 2015., Instanbul, Turkey, p. 324. (Handbook of the 5th World Congress and School on Universal Logic Instanbul, Turkey)

Gong, Y., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and AbuSalem, K. (2010) Adaptive MMSE equalizer with optimum tap-length and decision delay. In: Sensor Signal Processing for Defence 2010 (SSPD 2010), 29-30 September 2010, Imperial College, London, UK.

Hameed, K. and Badii, A. (2008) Biologically motivated model for object detection and identification in real-world scenes. In: SSE Systems Engineering Conference 2008, 25-26 Sep 2008, The University of Reading. (Unpublished)

Hameed, S. and Badii, A. (2012) Effectiveness and measurement of technology enhanced learning in Higher Education institutions of Pakistan. In: SOLSTICE & CLTR 2012: Enhancing learning, teaching and student success, 13-14 Jun 2012, Edge Hill University, Ormskirk.

Hameed, S. and Badii, A. (2012) Effectiveness of knowledge management functions in improving the quality of education in Higher Education institutions. In: International Conference on Knowledge and Education Technology (ICKET 2012), 7-8 Jul 2012, Paris, France, pp. 319-323.

Hameed, S. and Badii, A. (2012) The role of effective knowledge management in education sector of Pakistan. In: 12th Industrial Conference on Data Mining (ICDM 2012), 16-21 Jul 2012, Berlin, Germany.

Hameed, S., Badii, A. and Cullen, A.J. (2008) Effective e-learning integration with traditional learning in a blended learning environment. In: European and Mediterranean conference on information systems 2008 (EMCIS 2008), Al Bostan Rotana, Dubai, UAE.

Hameed, S., Hawker, C. and Badii, A. (2008) Analysis of the dominant enterprise information assurance mechanisms. In: European and Mediterranean conference on information systems 2008 (EMCIS 2008), Al Bostan Rotana, Dubai, UAE.

Hameed, S., Raza, A. and Badii, A. (2008) Converged next generation network architecture and its reliability. In: European and Mediterranean conference on information systems 2008 (EMCIS 2008), Al Bostan Rotana, Dubai, UAE.

Hammoodi, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Tennant, M. (2016) Towards online concept drift detection with feature selection for data stream classification. In: 22nd European Conference on Artificial Intelligence, 29th August - 2nd September, The Hague, Holland, pp. 1549-1550.

Harris, C. J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2000) Data based constructive identification - overcoming the curse of dimensionality. In: IFAC AIRTC symposium: Artificial Intelligence in Real Time Control, 2000, Budapest, Hungary.

Harris, C. J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2001) Neurofuzzy approaches to intelligent collision avoidance problems in (semi) autonomous transportation. In: Joint 9th IFSA World Congress and 20th NAFIPS International Conference: IFSA/NAFIPS 2001, 25-28 Jul 2001, Vancouver, Canada, pp. 517-522.

Harris, C. J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2002) Neurofuzzy state space modelling and control using Kalman filtering state feedback with coloured noise. In: IFAC Adaptation and Learning in Control and Signal Processing (ALCOSP 2001), 29-31 Aug 2001, Como, Italy, pp502.

Harris, C. J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2001) Parallel neurofuzzy learning and construction algorithm. In: SPIE Applications and Science of Computational Intelligence IV 2001, 16-20 Apr 2001, Orlando, USA.

Harris, C. J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Feng, M. (1999) Optimal piecewise locally linear modeling. In: SPIE AeroSense'99, Applications and Science of Computational Intelligence II, 5th April 1999, Orlando, Florida, USA, p. 486. doi: https://doi.org/10.1117/12.342906

Harris, C. J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Wilson, P. A. (1999) An intelligent guidance and control system for ship obstacle avoidance. In: CIMA/ISFL'99: International ICSC Conference on Computational Intelligence Methods and Applications, Fuzzy Logic and applications, 1999, Rochester, USA, pp. 135-140.

Harris, C.J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2003) Neurofuzzy model construction and knowledge extraction using subspace decomposition. In: IFAC Conference on Intelligent Control and Signal Processing, Faro, Portugal.

Harris, J. and Sun, L. (2008) A Conceptual Model for Group Support Systems in Local Councils. In: 10th International Conference on Enterprise Information Systems, 12-16 June 2008, Barcelona, Spain, pp. 203-207.

Harris, J. and Sun, L. (2008) A conceptual model for group support systems in local councils. In: 10th International Conference on Enterprise Information Systems, Barcelona, Spain.

Harvey, A. P., McCrindle, R. J., Lundqvist, K. O. and Parslow, P. N. (2010) Automatic speech recognition for assistive technology devices. In: ICDVRAT 2010: The Eighth International Conference on Disability Virtual Reality and Associated Technologies, 31 Aug-2 Sept 2010, Valparaiso, Chile.

Hawkins, G., Sherwood, R., Djotni, K. and Threadgold, T. (2016) Cooled optical filters for Q-band infrared astronomy (15-40 μm). In: Advances in Optical and Mechanical Technologies for Telescopes and Instrumentation (Conference 9912), Coatings, Filters and Gratings [9912-110], 26 Jun - 01 Jul 2016, Edinburgh, United Kingdom. doi: https://doi.org/10.1117/12.2231669

Hawkins, G. J., Hunneman, R. and Seeley, J. S. (1991) Exposure to space radiation of high performance infrared multilayer filters and materials technology experiment. In: LDEF—69 Months in Space: Proceedings of the First Post-Retrieval Symposium, June 2-8, Kissimmee, Florida, pp. 1479-1492.

Hawkins, G.J., Sherwood, R. E., Barratt, B.M. and Wakeham, S.J. (2007) Mid-infrared filters for the diviner radiometer experiment on the lunar reconnaissance orbiter (7-40um). In: OSA Optical Interference Coatings Topical Meeting and Tabletop Exhibit, Tuscon, USA.

He, T., Ribbins, P., Brown, R., Sun, L. and Gurr, C. (2007) A design for business intelligence service in demand driven supply chain management. In: 9th International Conference on Enterprise Information Systems (ICEIS 2007), Funchal, Portugal.

Hofbauer, H., Jalilian, E., Sequeira, A., Ferryman, J. and Uhl, A. (2019) Mobile NIR iris recognition: identifying problems and solutions. In: Proceedings of the IEEE 9th International Conference on Biometrics: Theory, Applications, and Systems (BTAS2018), 22nd October 2018, Los Angeles, USA, pp. 1-9.

Hoffmann, M., Badii, A., Engberg, S., Nair, R., Thiemert, D. and Matthess, M. (2007) Security, trust and privacy supported by context-aware middleware. In: 18th Wireless World Research Forum Meeting: Multimedia Goes Mobile (WWRF), Espoo, Finland.

Hoffmann, M., Badii, A., Engberg, S., Nair, R., Thiemert, D., Matthess, M. and Schutte, J. (2007) Towards semantic resolution of security in ambient environments. In: 2nd International Conference on Ambient Intelligence Developments (AMI.D'07), Sophia-Antipolis, France.

Holt, C.C. and Boness, K. D. (1987) Current deflection at cracks: some insights from modelling. In: Non-destructive testing: the 4th European Conference, 13-17 Sept 1987, London, pp. 641-648.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2005) Identification of Box-Cox radial basis function neural network. In: Proc. of IFSA 2005 World Congress, Fuzzy Logic, Soft Computing and Computational Intelligence Theories and Applications, Beijing, China.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2005) A modified gradient descent nonlinear model parameter estimation algorithm by using combined micro-GA and constrained optimization. In: Proc. of IFSA 2005 World Congress, Fuzzy Logic, Soft Computing and Computational Intelligence Theories and Applications, Beijing, China.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S. (2012) PSO assisted NURB Neural Network Identification. In: ICIC 2012: the Eighth International Conference on Intelligent Computing, 25-29 July 2012, Huangshan, China.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S. (2012) An elastic net orthogonal forward regression algorithm. In: 16th IFAC Symposium on System Identification, 11-13 July 2012, Brussels, Belgium, pp. 1814-1819.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S. (2013) A fast algorithm for sparse probability density function construction. In: 18th International Conference on Digital Signal Processing (DSP2013), 1 - 3 July 2013, Santorini - Greece.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S. (2005) A forward regression algorithm based on M-estimators. In: Proc. of the 2005 WSEAS Int. Conf. on Dynamical Systems and Control, Venice, Italy.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Gao, J. (2016) Manifold optimization for nonnegative coefficient logistic regression. In: IJCNN 2016, 25-29, July, 2016, Vancouver.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Gao, J. (2015) Sparse density estimation on multinomial manifold combining local component analysis. In: 2015 International Joint Conference on Neural Networks (IJCNN), 12-17, July, 2015, Killarney, Ireland.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Gong, Y. (2015) A constrained recursive least squares algorithm for adaptive combination of multiple models. In: 2015 International Joint Conference on Neural Networks (IJCNN), 12-17, July, 2015, Killarney, Ireland.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Junbin, G. (2016) A fast algorithm to estimate the square root of probability density function. In: AI2016, Thirty-sixth SGAI International Conference on Artificial Intelligence,, Dec,13-15, 2016, Cambridge.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Mitchell, R.J. (2006) Bezier-Bernstein polynomial based Hammerstein model and identification algorithm - Paper ID23. In: International Control Conference, 30 Aug - 01 Sept 2006, Glasgow, United Kingdom.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Mitchell, R.J. (2006) A pole assignment controller for Bezier-Bernstein polynomial based Hammerstein model - Paper ID 95. In: Proc Control 2006, Glasgow, United Kingdom.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2014) B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels. In: 2014 International Joint Conference on Neural Networks (IJCNN), July 6-11, 2014, Beijing, China.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2012) Modelling and inverting complex-valued Wiener systems. In: International Joint Conference on Neural Networks, 10-15 June 2012, Brisbane, Australia.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Di Fatta, G., Chen, H. and Wang, S. (2018) Sparse least squares support vector regression for nonstationary systems. In: 2018 International Joint Conference on Neural Networks (IJCNN), 8-13 Jul 2018, Rio.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gong, Y. and Chen, S. (2011) B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm. In: International Joint Conference on Neural Networks (IJCNN 2011), 30 Jul - 5 Aug 2011, San Jose, California, USA, pp. 30-36.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gong, Y. and Chen, S. (2011) A Wiener model for memory high power amplifiers using B-spline function approximation. In: 17th International Conference on Digital Signal Processing, 13-15 June 2011, Corfu, Greece. (ISBN: 9781457702730)

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Guo, Y., Chen, S. and Gao, J. (2013) Sparse model construction using coordinate descent optimization. In: Proceedings: 18th International Conference on Digital Signal Processing (DSP2013), 1 - 3 July 2013, Santorini - Greece.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Mitchell, R. and Chen, S. (2011) Wiener System identification using B-spline functions with De Boor recursion. In: SSPD 2011: Sensor Signal Processing for Defence, 27-29 September 2011, Imperial College, London.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Gao, J. (2020) Nonlinear logistic regression model based on simplex basis function. In: 2020 International Joint Conference on Neural Networks (IJCNN), 19-24 July 2020, Glasgow, United Kingdom (virtual). doi: https://doi.org/10.1109/IJCNN48605.2020.9207064

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Xiao, J. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2024) A semi-supervised clustering approach using nonlinear canonical correlation analysis with t-SNE. In: 2024 International Joint Conference on Neural Networks (IJCNN), 30 Jun- 5 Jul 2024, Yokohoma, Japan. doi: https://doi.org/10.1109/ijcnn60899.2024.10650841

Huang, G., Huang, L., Chen, X. and Sun, L. (2014) Rationality of service composition of Workflow Net in a service oriented architecture. In: 15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, 23-24 May 2014, Shanghai, China, pp. 155-165. (in Service Science and Knowledge Innovation)

Hunneman, R. and Hawkins, G. J. (1996) Novel material combinations for enhanced infrared filter performance. In: Applied Optics and Optoelectronics Conference, 16-19 Sep 1996, Reading, UK, pp. 188-193.

Hussey, R., Williams, S. and Mitchell, R. (2012) Automatic keyphrase extraction: a comparison of methods. In: eKNOW, Proceedings of The Fourth International Conference on Information Process, and Knowledge Management , Valencia, Spain, pp. 18-23.

Hussey, R., Williams, S. and Mitchell, R. (2011) Keyphrase extraction by synonym analysis of n-grams for e-journals categorisation. In: eKNOW 2011 : The Third International Conference on Information, Process, and Knowledge Management, February 23-28, 2011, Guadeloupe, France, pp. 83-86.

Ihmeida, M. and Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X (2023) Deep despeckling of SAR images to improve change detection performance. In: Artificial Intelligence XL: 43rd SGAI International Conference on Artificial Intelligence, AI 2023, 12–14 Dec 2023, Cambridge, UK, pp. 115-126. doi: https://doi.org/10.1007/978-3-031-47994-6_9 (Braumer, M. and Stahl, F. (eds). ISBN: 9783031479939.)

Ihmeida, M. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2021) Image registration techniques and applications: comparative study on remote sensing imagery. In: 14th International Conference on Developments in eSystems Engineering (DeSE), 7-10 DEC 2021, Sharjah, United Arab Emirates, pp. 142-148. doi: https://doi.org/10.1109/DeSE54285.2021.9719538

Iturralde, D., Soto, I., Becerra, N., Sun, L. and Liu, K. (2013) A new algorithm for tracking people in a pervasive mining environment. In: 14th International Conference on Informatics and Semiotics in Organisation (ICISO), 25 -27 Mar 2013, Stockholm, Sweden, pp. 244-253.

Jaikumar, P., Vandaele, R. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Transfer learning for instance segmentation of waste bottles using Mask R-CNN algorithm. In: International Conference on Intelligent Systems Design and Applications, 12-15 December 2020, online, pp. 140-149. doi: https://doi.org/10.1007/978-3-030-71187-0_13 (Intelligent Systems Design and Applications. ISDA 2020. Advances in Intelligent Systems and Computing, vol 1351.)

Jiang, X., Gao, J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Cai, Z. (2014) Gaussian processes autoencoder for dimensionality reduction. In: Part II of Proceeding 18th Pacific-Asia Conference, PAKDD 2014, May 13-16, 2014, Tainan, Taiwan.

Johns, K., Williams, S., Baker, K. and Sun, L. (2003) Uses of a Learning Object. In: TEL 2003: Technology-enhanced Learning 2003, Milan, Italy.

Jum'ah, N. and Kunkel, J. (2019) Performance portability of Earth system models with user-controlled GGDML code translation. In: Third International Workshop on Performance Portable Programming Models for Accelerators, 24-28 June 2018, Frankfurt, Germany, pp. 693-710. (ISBN 9783030024642)

Jumah, N. and Kunkel, J. (2019) Automatic vectorization of stencil codes with the GGDML language extensions. In: Workshop on Programming Models for SIMD/Vector Processing, 2019/02/16, Washington DC, USA, pp. 1-7. doi: https://doi.org/10.1145/3303117.3306160

Jumah, N. and Kunkel, J. (2020) Optimizing memory bandwidth efficiency with user-preferred kernel merge. In: Euro-Par 2019: Parallel Processing Workshops, 26–30 Aug 2019, Göttingen, Germany, pp. 69-81. doi: https://doi.org/10.1007/978-3-030-48340-1_6

Jumah, N. and Kunkel, J. (2019) Scalable parallelization of stencils using MODA. In: P^3MA workshop, pp. 142-154. doi: https://doi.org/10.1007/978-3-030-34356-9_13

Kajko-Mattson, M., Aguiar, A., Boness, K. D., Kaindl, H., Pooley, R. and Tael, A. (2009) Long-term perspective of agile methods. In: ICSEA '09: the Fourth International Conference on Software Engineering Advances, 20-25 Sept 2009, Porto, Portugal, pp. 1-2.

Katten, E. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2018) Systematic evaluation of CNN on land cover classification from remotely sensed images. In: SPIE International Conference of Remote Sensing 2018, 10-13 September 2018, Berlin, Germany.

Katti, A., Di Fatta, G., Naughton, T. and Engelmann, C. (2015) Scalable and fault tolerant failure detection and consensus. In: The 22nd European MPI Users' Group Meeting (EuroMPI '15), 21-23 September 2015, Bordeaux, France, Article No. 13. doi: https://doi.org/10.1145/2802658.2802660 (ISBN 9781450337953)

Kershaw, C.J.A. and Anderson, J.A.D.W. (2006) Perspex machine VI: a graphical user interface to the perspex machine. In: Vision Geometry XIV .

Khan, A. and Badii, A. (2008) Multi-level Input Fusion in multi-modal systems. In: SSE Systems Engineering Conference 2008, 25-26 Sep 2008, The University of Reading. (Unpublished)

Kiernan, L. A., Warwick, K., Kambhampati, C. and Mitchell, R. (1996) Automatic integrated system load forecasting using mutual information and neural networks. In: SIPOWER 95: IFAC Symposium on Control of Power Plant and Power Systems, 6-8 Dec 1995, Cancun, Mexico, pp. 321-326.

Kirchgasser, S., Debiasi, L., Schraml, R., Hofbauer, H., Uhl, A., Boyle, J. ORCID: https://orcid.org/0000-0002-5785-8046 and Ferryman, J. (2020) Template protection on multiple facial biometrics in the signal domain under visible and near-infrared light. In: 8th International Workshop on Biometrics and Forensics (IWBF), 29-30 April 2020, Porto, Portugal. doi: https://doi.org/10.1109/IWBF49977.2020.9107964

Kunkel, J. and Betke, E. (2019) Tracking user-perceived I/O slowdown via probing. In: HPC-IODC workshop, Frankfurt, Germany, pp. 169-182. doi: https://doi.org/10.1007/978-3-030-34356-9_15

Kunkel, J. M. and Markomanolis, G. S. (2018) Understanding metadata latency with MDWorkbench. In: Workshop on Performance and Scalability of Storage Systems, 24-28 June 2018, Frankfurt, Germany, pp. 75-88. (ISBN 9783030024642)

Kunkel, J. M., Betke, E., Bryson, M., Carns, P., Francis, R., Frings, W., Laifer, R. and Mendez, S. (2018) Tools for analyzing parallel I/O. In: HPC I/O in the Data Center Workshop, 24-28 June 2018, Frankfurt, Germany, pp. 49-70. (ISBN 9783030024642)

La Rosa, M., Di Fatta, G., Gaglio, S., Giammanco, G.M., Rizzo, R. and Urso, A. (2007) Topographic map of gammaproteobacteria using 16 s rRNA gene sequence. In: Proceedings of the International Workshop on Computational Intelligence Approaches for the Analysis of Bioinformatics Data (CI-BIO 2007), Orlando, USA.

Lallah, C. and Badii, A. (2008) Networks of contextualised ontologies for the Semantic Web. In: SSE Systems Engineering Conference 2008, 25-26 Sep 2008, The University of Reading. (Unpublished)

Le, T., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Wrench, C. and Gaber, M. M. (2017) A statistical learning method to fast generalised rule induction directly from raw measurements. In: 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 18-20 Dec 2016, Anaheim, California, USA, pp. 935-938.

Le, T., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Gomes, J. B., Gaber, M. M. and Di Fatta, G. (2014) Computationally efficient rule-based classification for continuous streaming data. In: Thirty-fourth SGAI International Conference on Artificial Intelligence, 9-11 Dec 2014, Cambridge, England, pp. 21-34.

Legge, D. and Badii, A. (2009) Conceptualisation of an application of adaptive synthetic socioeconomic agents for intelligent network control. In: Symposium on pervasive adaptation at AISB, Edinburgh, UK.

Legge, D. and Badii, A. (2009) Primer for an application of adaptive synthetic socioeconomic agents for intelligent network control. In: AI-2009 twenty-ninth SGAI international conference on artificial intelligence, Cambridge, England.

Leppänen, T., Savaglio, C., Lovén, L., Russo, W., Di Fatta, G., Riekki, J. and Fortino, G. (2018) Developing agent-based smart objects for IoT edge computing: mobile crowdsensing use case. In: 11th International Conference on Internet and Distributed Computing Systems (IDCS 2018), 11-13 October 2018, Tokyo, Japan, pp. 235-247.

Lester, M. ORCID: https://orcid.org/0000-0002-2323-1771 (2019) Analysis of MiniJava programs via translation to ML. In: FTfJP '19: Proceedings of the 21st Workshop on Formal Techniques for Java-like Programs, 15th Jul 2019, London. doi: https://doi.org/10.1145/3340672.3341119

Lester, M. ORCID: https://orcid.org/0000-0002-2323-1771 (2020) Program transformations enable verification tools to solve interactive fiction games. In: 7th International Workshop on Rewriting Techniques for Program Transformations and Evaluation, 29th June 2020, Virtual.

Lester, M. ORCID: https://orcid.org/0000-0002-2323-1771 (2022) Reprobate at ITC 2021: pseudoboolean optimisation for RobinX sports timetabling. In: 13th International Conference on the Practice and Theory of Automated Timetabling - PATAT 2021, 23 Aug 2022 - 26 Aug 2022, Bruges, Belgium, pp. 454-459.

Lester, M. M. ORCID: https://orcid.org/0000-0002-2323-1771 (2020) ScAmPER: generating test suites to maximise code coverage in interactive fiction games. In: TAP 2020: 14th International Conference on Tests and Proofs, 22-26 Jun 2020, Bergen, Norway, pp. 169-179. doi: https://doi.org/10.1007/978-3-030-50995-8_10

Lester, M. M. ORCID: https://orcid.org/0000-0002-2323-1771 (2021) Scheduling reach mahjong tournaments using pseudoboolean constraints. In: Theory and Applications of Satisfiability Testing – SAT 2021, 5-9 July 2021, Barcelona, Spain. doi: https://doi.org/10.1007/978-3-030-80223-3

Li, L., Ellis, A. and Ferryman, J. (2015) On fusion for robust motion segmentation. In: 12th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS2015), August 25-28, 2015, Karlsruhe, Germany, pp. 1-6.

Li, L., Nawaz, T. and Ferryman, J. (2015) PETS 2015: datasets and challenge. In: 12th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS2015), August 25-28, 2015, pp. 1-6.

Li, X., Liang, H. and Liu, Z. (2021) Health claims unpacked: a toolkit to enhance the communication of health claims for food. In: The Conference on Information and Knowledge Management (CIKM), 1-5 NOV 2021, Gold Coast, Queensland, Australia, pp. 4744-4748. doi: https://doi.org/10.1145/3459637.3481984 (CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management)

Li, X., Liang, H., Nagala, S. and Chen, J. (2022) Improving ultrasound image classification with local texture quantisation. In: The International Conference on Acoustics, Speech, & Signal Processing (ICASSP). doi: https://doi.org/10.1109/ICASSP43922.2022.9747883

Liang, H. and Baldwin, T. (2015) A probabilistic rating auto-encoder for personalized recommender systems. In: Conference on Information and Knowledge Management, 19-23 October, Melbourne, Australia.

Liang, H., Wang, Y., Christen, P. and Gayler, R. (2014) Noise-tolerant approximate blocking for dynamic real-time entity resolution. In: The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 13-16 May 2014, Taiwan, pp. 449-460.

Lin, C., Liu, K. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2008) Review of computer vision in intelligent environment design. In: SSE Systems Engineering Conference 2008, 25-26 Sep 2008, The University of Reading. (Unpublished)

Ling, B., Tang, Y., Liu, K., Sun, L., Cheong, A. and Neale, K. (2008) Requirements engineering for software in emerging markets. In: IEEE International Conference on Service Operations and Logistics, and Informatics (IEEE/SOLI 2008), 12-15 Oct 2008, Beijing, China, pp. 1148-1152.

Liu, H., Gegov, A. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2014) Categorization and construction of rule based systems. In: 15th International Conference on Engineering Applications of Neural Networks, Sofia, Bulgaria, pp. 183-194. (Engineering Applications of Neural Networks: Mladenov, Valeri, Jayne, Chrisina, Iliadis, Lazaros (eds.) Communications in Computer and Information Science, Vol. 459 Springer)

Liu, J., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Huang, X.Y., He, N.S. and Li, K. (2008) An FLIR video surveillance system to avoid bridge-ship collision. In: World Congress on Engineering 2008, London.

Liu, K. and Sun, L. (2000) Capturing temporality and intentionality in information systems. In: 5th International Workshop on the Language-Action Perspective on Communication Modelling (LAP 2000), 14-16 Sep 2000, Aachen, Germany, pp. 77-93.

Liu, K., Sun, L. and Tan, S. (2005) Using Problem Articulation Method to Assist Planning and Management of Complex Projects. In: Proceedings of the 8th International Workshop on Organisational Semiotics, France.

Liu, Z., Osei-Brefo, E., Chen, S. and Liang, H. (2020) UoR at SemEval-2020 task 8: Gaussian mixture modelling (GMM) based sampling approach for multi-modal memotion analysis. In: International Workshop on Semantic Evaluation 2020, December 12-13, 2020, Barcelona, Spain, pp. 1201-1207.

Liu, Z., Haines, C. and Liang, H. (2021) UoR at SemEval-2021 task 7: utilizing pre-trained DistilBert model and multi-scale CNN for humor detection. In: SemEval-2021, 5-6 August 2021, Bangkok.

Liyanagunawardena, T. R., Lundqvist, K., Parslow, P. and Williams, S. (2014) MOOCs and retention: does it really matter? In: Can MOOCs save Europe's unemployed youth? EC TEL, 16th September, Graz.

Liyanagunawardena, T. R., Parslow, P. and Williams, S. (2014) Dropout: MOOC participants’perspective. In: EMOOCs 2014, the Second MOOC European Stakeholders Summit, 10-12 th February 2014, Lausanne, Switzerland, pp. 95-100.

Lubega, J., Sun, L. and Williams, S.A. (2004) An Effective Tracking Model for Personalised e-Learning. In: 3rd European Conference on e-Learning, Paris, France.

Lubega, J.T., Sun, L. and Williams, S.A. (2005) A Method for Personalised Tracking in Knowledge Construction. In: Proceedings of 4th European Conference on e-Learning (ECEL), Amsterdam, The Netherlands.

Lukats, D., Berghöfer, E., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Schneider, J., Pieck, D., Idrees, M., Nolle, L. and Zielinski, O. (2021) Towards Concept Change Detection in Marine Ecosystems. In: OCEANS Conference & Exposition, 20-23 SEPT 2021, San Diego - Porto.

Lundqvist, K.O., Ashton, R. , Evans, M. P., Parslow, P., Porter-Daniels, E. and Williams, S. (2008) MeAggregator™. In: Internet Research 9.0: Rethinking Community, Rethinking Place, Copenhagen, Denmark.

Lüttgau, J. and Kunkel, J. (2018) Cost and performance modeling for Earth system data management and beyond. In: HPC I/O in the Data Center Workshop, 24-28 June 2018, Frankfurt, Germany, pp. 23-35. (ISBN 9783030024642)

Lüttgau, J., Snyder, S., Carns, P., Wozniak, J. M., Kunkel, J. and Ludwig, T. (2018) Toward understanding I/O behavior in HPC workflows. In: PDSW-DISCS, 12 November 2018, Dallas, Texas, pp. 64-75.

M-Rouhani, B., Worrall, A. D. and Anderson, J. A. D. W. (1995) An interactive CAD-based vision system. In: BMVC '95: the 6th British conference on Machine vision, 1995, pp. 681-690.

Maamar, Z. and Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414 (2021) Cloud-edge coupling to mitigate execution failures. In: The 36th ACM/SIGAPP Symposium on Applied Computing, March, 2021, Virtual Event, Republic of Korea, pp. 711-718. doi: https://doi.org/10.1145/3412841.3442334

Maamar, Z., Baker, T., Faci, N., Ugljanin, E., Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414 and Burégio, V. (2019) Towards a seamless coordination of cloud and fog: illustration through the internet-of-things. In: 34th ACM/SIGAPP Symposium on Applied Computing, 8-12 Apr 2019, Limassol, Cyprus, pp. 2008-2015. doi: https://doi.org/10.1145/3297280.3297477

Maamar, Z., Baker, T., Faci, N., Ugljanin, E., Atif, Y., Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414 and Sellami, M. (2018) Cognitive computing meets the internet of things. In: 13th International Conference on Software Technologies, 26-28 Jul 2018, Porto, Portugal, pp. 741-746. doi: https://doi.org/10.5220/0006877507750780

Maamar, Z., Boukadi, K., Ugljanin, E., Baker, T., Asim, M., Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Benslimane, D. and El Alaoui El Abdallaoui, H. (2018) Thing federation as a service: foundations and demonstration. In: International Conference on Model and Data Engineering, 24-26 Oct 2018, Marrakesh, Morocco, pp. 184-197. doi: https://doi.org/10.1007/978-3-030-00856-7_12

Makarova, A., Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X, Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Lester, M. ORCID: https://orcid.org/0000-0002-2323-1771 (2024) Learning a strategy for preference elicitation in conversational recommender systems. In: International Joint Conference on Neural Networks (IJCNN), 30 Jun - 5 Jul 2024, Yokohama, Japan. doi: https://doi.org/10.1109/ijcnn60899.2024.10650365

Manjunathaiah, M. (2011) CSP as a general concurrency model. In: Workshop on Integrating Parallelism Throughout the Undergraduate Computing Curriculum, San Antonio, Texas, USA.

Markchom, T. and Liang, H. (2021) Augmenting visual information in knowledge graphs for recommendations. In: ACM International Conference on Intelligent User Interfaces, 13-17 April 2021, Texas. doi: https://doi.org/10.1145/3397481.3450686

Markchom, T. and Liang, H. (2021) UoR at SemEval-2021 task 4: using pre-trained BERT Token embeddings for question answering of abstract meaning. In: SemEval-2021, 5-6 August 2021, Bangkok.

Markchom, T., Dhruva, B., Pravin, C. and Liang, H. (2020) UoR at SemEval-2020 task 4: pre-trained sentence transformer models for commonsense validation and explanation. In: International Workshop on Semantic Evaluation 2020, December 12-13, 2020, Barcelona, Spain, pp. 430-436.

Minchinton, P., Gould, S. and Mitchell, R. (2013) The cyber challenge: a robotics project to enthuse. In: 10th IFAC Symposium Advances in Control Education The International Federation of Automatic Control, August 28 - 30 2013, University of Sheffield, Sheffield, UK, pp. 168-173.

Mitchell, R. (2013) Improved MATLAB GUIs for learning frequency response methods. In: 10th IFAC Symposium Advances in Control Education The International Federation of Automatic Control, August 28 - 30 2013, University of Sheffield, Sheffield, UK, pp. 303-308.

Mitchell, R. (2016) Introducing control in an open online course. In: 2016 UKACC 11th International Conference on Control, 31 Aug - 2 Sep 2016, Belfast. (ISBN: 9781467398916)

Mitchell, R. (2014) A MATLAB GUI for learning controller design in the frequency domain. In: 2014 UKACC 10th International Conference on Control, 8th - 11th July 2014, Loughborough University.

Mitchell, R. J. (2004) Achieving the Stability Margins in Bode's Method. In: Proc. SCARP 2004, The University of Reading, UK.

Mitchell, R. J. (2004) Control Using Maximum Available Feedback. In: Proc. Control 2004, ID-063.

Mitchell, R. J. (2010) Introducing control using little mathematics. In: UKACC International Conference on Control (CONTROL 2010), 7-10 Sept 2010, Coventry, UK.

Mitchell, R. J. (2018) Using ‘begin robotics' in undergraduate teaching. In: 2018 UKACC 12th International Conference on Control (CONTROL), 5-7 Sep 2018, Sheffield, UK, pp. 444-449.

Mitchell, R.J. (2008) 'Flat phase' PID controllers. In: UKACC International Conference on Control 2008, Manchester, UK.

Mitchell, R.J. (2009) More nested velocity feedback control. In: 8th IEEE SMC International Conference on Cybernetic Intelligent Systems (CIS), Birmingham, UK.

Mitchell, R.J. (2007) Nested velocity feedback controller. In: IEEE SMC UK & RI 6th Conference on Cybernetic Systems 2007, Dublin, Ireland.

Mitchell, R.J. (2005) On Maximum Available Feedback and PID Control. In: Proc IEEE SMC UK-RI Chapter Conference Applied Cybernetics. , London, UK.

Mitchell, R.J. (2006) On flat phase controllers - Paper ID99. In: Proc Control 2006, Glasgow, United Kingdom.

Mitchell, R.J. (2006) Two point flat phase PID controller - Paper ID 20. In: Proc IEEE SMC Conference on Advances in Cybernetic Systems (AICS2006), Sheffield, United Kingdom, 176 - 181.

Moin, A., Challenger, M., Badii, A. and Günnemann, S. (2022) Supporting AI engineering on the IoT edge through model-driven TinyML. In: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), 27 June 2022 - 01 July 2022, Los Alamitos, CA, pp. 884-893. doi: https://doi.org/10.1109/COMPSAC54236.2022.00140 (ISSN: 0730-3157, ISBN 978166548810-5)

Moin, A., Mituca, A., Challenger, M., Badii, A. and Günnemann, S. (2022) ML-Quadrat & DriotData: a model-driven engineering tool and a low-code platform for smart IoT services. In: 2022 IEEE/ACM 44th International Conference on Software Engineering, 22-24 May 2022, Pittsburgh, PA, USA, pp. 144-148. doi: https://doi.org/10.1109/ICSE-Companion55297.2022.9793752

Moodley, P., Rosman, B. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2019) Understanding structure of concurrent actions. In: AI-2019: The Thirty-ninth SGAI International Conference, 17-19 Dec 2019, Cambridge, UK, pp. 78-90.

Morris, J., Liu, Z., Liang, H., Nagala, S. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2023) ThyExp: an explainable AI-assisted decision making toolkit for thyroid nodule diagnosis based on ultra-sound images. In: 32nd ACM International Conference on Information and Knowledge Management, Saturday 21 - Wednesday 25 October 2023, Birmingham,UK, pp. 5371-5375. doi: https://doi.org/10.1145/3583780.3615131

Nath, R. and Manjunathaiah, M. (2019) Sparse feature extraction model with independent subspace analysis. In: 4th International Conference, LOD 2018, 13-16 Sep 2019, Volterra, Italy, pp. 494-505.

Nawaz, T. and Ferryman, J. (2015) An annotation-free method for evaluating privacy protection techniques in videos. In: 12th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS2015), August 25-28, 2015, Karlsruhe, Germany, pp. 1-6.

Nawaz, T., Boyle, J. ORCID: https://orcid.org/0000-0002-5785-8046, Li, L. and Ferryman, J. (2015) Tracking performance evaluation on PETS 2015 Challenge datasets. In: 12th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS2015), 25-28 August, 2015, Karlsruhe, Germany, pp. 1-6.

Neera, J., Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X, Aslam, N., Issac, B. and O’Brien, E. (2022) A Local Differential Privacy based hybrid recommendation model with BERT and Matrix Factorization. In: The 19th International Conference on Security and Cryptography (SECRYPT 2022), 11-13 July, 2022, Lisbon, Portugal, pp. 325-332. doi: https://doi.org/10.5220/0011266800003283 (ISBN: 9789897585906)

Neubarth, K., Badii, A. and Weyde, T. (2007) Generation of e-exercise objects for personalised technology-enhanced music learning. In: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, Quebec, Canada.

Noble, S., Thomas, B. A. and Anderson, J. A. D. W. (2007) Perspex machine X: software development. In: Vision Geometry XV, 01 Feb 2007, San Jose, CA,USA. doi: https://doi.org/10.1117/12.698166 (Proceedings of SPIE 6499, 64990K)

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Amban Mishra, D. (2018) Neural tree for estimating the uniaxial compressive strength of rock materials. In: International Conference on Hybrid Intelligent Systems, pp. 1-10. doi: https://doi.org/10.1007/978-3-319-76351-4_1

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Nicosia, G. (2020) Multi-objective optimisation of multi-output neural trees. In: IEEE Congress on Evolutionary Computation (IEEE CEC 2020), 19-24 July 2020, Glasgow, Scotland, UK. doi: https://doi.org/10.1109/CEC48606.2020.9185600

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snasel, V. (2016) Ensemble of heterogeneous flexible neural tree for the approximation and feature-selection of Poly (Lactic-co-glycolic Acid) micro-and nanoparticle. In: Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015, Sep 9, 2015 - Sep 11, 2015, Paris - Villejuif, France, pp. 155-165. doi: https://doi.org/10.1007/978-3-319-29504-6_16

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snasel, V. (2016) Metaheuristic tuning of type-II fuzzy inference systems for data mining. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 25-29 Jul 2016, Vancouver, Canada, pp. 610-617. doi: https://doi.org/10.1109/FUZZ-IEEE.2016.7737743

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Jackowski, K., Abraham, A. and Snásel, V. (2014) Feature selection and ensemble of regression models for predicting the protein macromolecule dissolution profile. In: 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014), 30 July-1 Aug. 2014, Porto, Portugal, pp. 121-126. doi: https://doi.org/10.1109/NaBIC.2014.6921864

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Jackowski, K., Snášel, V. and Abraham, A. (2014) Dimensionality reduction and prediction of the protein macromolecule dissolution profile. In: The Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA, 23-25 Jun 2014, Ostrava, Czech Republic, pp. 301-310. doi: https://doi.org/10.1007/978-3-319-08156-4_30

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snasel, V. (2014) Simultaneous optimization of neural network weights and active nodes using metaheuristics. In: 14th International Conference on Hybrid Intelligent Systems, 14-16 Dec 2014, Kuwait, pp. 248-253. doi: https://doi.org/10.1109/HIS.2014.7086207

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snášel, V. (2014) ACO for continuous function optimization: a performance analysis. In: 2014 14th International Conference on Intelligent Systems Design and Applications, 28-30 November 2914, Okinawa, Japan, pp. 145-150.

Osborne, C., Cane, T., Nawaz, T. and Ferryman, J. (2015) Temporally stable feature clusters for maritime object tracking in visible and thermal imagery. In: 12th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS2015), August 25-28, 2015, Karlsruhe, Germany, pp. 1-6.

Osei-Brefo, E., Markchom, T. and Liang, H. (2021) UoR at SemEval-2021 task 12: on crowd annotations: learning with disagreements to optimise crowd truth. In: SemEval-2021, 5-6 August 2021, Bangkok.

Osei-brefo, E., Mitchell, R. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2023) Hybrid dual-resampling and cost-sensitive classification for credit risk prediction. In: AI-2023 Forty-third SGAI International Conference on Artificial Intelligence, 12-14 DECEMBER 2023, Cambridge, England. (In Press)

Osprey, A., Lawrence, B. ORCID: https://orcid.org/0000-0001-9262-7860, Manjunathaiah, M. and Riley, G. (2013) A benchmark-driven modelling approach for evaluating deployment choices on a multi-core architecture. In: Exascale Applications and Software Conference, Edinburgh, U.K.

Osprey, A., Riley, G. D., Manjunathaiah, M. and Lawrence, B. ORCID: https://orcid.org/0000-0001-9262-7860 (2014) The development of a data-driven application benchmarking approach to performance modelling. In: 2014 International Conference on High Performance Computing Simulation (HPCS), 21-25 July 2014, Bologna, Italy, pp. 715-723.

Osprey, A., Riley, G., Manjunathaiah, M. and Lawrence, B. ORCID: https://orcid.org/0000-0001-9262-7860 (2013) A benchmark-driven modelling approach for evaluating deployment choices on a multicore architecture. In: Proceedings of the International Conference on Parallel & Distributed Processing Techniques & Application (PDPTA'13), July 22-25 2013, Las Vegas.

Padbury, D., McCrindle, R.J. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2006) Perceptive 3-D interface via stereo observation. In: Proceedings 6th International Conference on Disability, Virtual Reality and Associated Technologies, Esbjerg, Denmark, 59 - 66.

Parslow, P., Lundqvist, K. Ø., Williams, S., Ashton, R. and Evans, M. (2008) Facebook & BlackBoard: comparative view of learning environments. In: SSE Systems Engineering Conference 2008, 25-26 Sep 2008, The University of Reading.

Parslow, P., Williams, S. and Browne, W. (2007) Collaborative eLearning Assistant Network: caring agents are conscious agents. In: The Eighth Annual Durham Blackboard Users’ Conference, 13-14th December 2007, Durham University.

Parslow, P., Williams, S., Evans, M., Øster Lundqvist, K., Porter-Daniels, E. and Ashton, R. (2007) Facebook & Blackboard: comparison of learner perspectives. In: The Eighth Annual Durham Blackboard Users’ Conference, 13-14th December 2007, Durham University.

Parslow, P., Williams, S., Evans, M. P., Lundqvist, K.O., Ashford, R. and Porter-Daniels, E. (2008) eLearning communities and spaces. In: Internet Research 9.0: Rethinking Community, Rethinking Place, Copenhagen, Denmark.

Patel, R., Mitchell, R. and Warwick, K. (1999) Agents for cooperative task support in the control room. In: IEE Colloquium on Artificial Intelligence Based Applications for the Power Industry, 1 June 1999, 7/1-7/5.

Patel, R., Mitchell, R. and Warwick, K. (1999) Cooperative task support for the control room. In: People in control : an international conference on human interfaces in control rooms, cockpits and command centres, 21-23 June 1999, Bath University, UK, pp. 440-445.

Patel, R., Mitchell, R. J. and Warwick, K. (2001) An agent based approach to distributed task modeling for co-operative task support. In: 2nd International Conference on Human Interfaces in Control Rooms, Cockpits and Command Centres, People in Control 2001, 19-21 June 2001, UMIST, Manchester, UK, pp. 196-200. doi: https://doi.org/10.1049/cp:20010461 (ISSN: 0537-9989. ISBN: 085296742X)

Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629 and Ferryman, J. (2016) Detecting threat behaviours. In: 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), August 23-26, 2016, Colorado Springs, US, pp. 88-94.

Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629 and Ferryman, J. (2017) Loitering behaviour detection of boats at sea. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 26 July 2017, Honolulu, HI, USA.

Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629 and Ferryman, J. (2015) Meeting detection in video through semantic analysis. In: 12th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS2015), August 25-28, 2015, Karlsruhe, Germany, pp. 1-6.

Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629 and Ferryman, J. (2014) Multicamera trajectory analysis for semantic behaviour characterisation. In: 11th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS2014), August 26-29, 2014, Seoul, Korea, pp. 1-6.

Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629 and Ferryman, J. (2015) PETS 2014: dataset and challenge. In: 11th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS 2014), August 26-29, 2014, Seoul, Korea, pp. 1-6.

Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629 and Ferryman, J. (2016) Semantic modelling for behaviour characterisation and threat detection. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 26 June-1 July 2016, Las Vegas, USA, pp. 1282-1288.

Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629, Boyle, J. ORCID: https://orcid.org/0000-0002-5785-8046, Ferryman, J., Auer, J., Pegoraro, J., Pflugfelder, R., Cokbas, M., Konrad, J., Ishwar, P., Slavic, G., Marcenaro, L., Jiang, Y., Jin, Y., Ko, H., Zhao, G., Ben-Yosef, G. and Qiu, J. (2021) PETS2021: through-foliage detection and tracking challenge and evaluation. In: 2021 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 16-19 NOV 2021, Virtual. doi: https://doi.org/10.1109/AVSS52988.2021.9663837

Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629, Cane, T. and Ferryman, J. (2021) A comprehensive maritime benchmark dataset for detection, tracking and threat recognition. In: 17th IEEE Int'l Conf on Advanced Video and Signal-based Surveillance (AVSS 2021), 16-19 NOV 2021, Virtual. doi: https://doi.org/10.1109/AVSS52988.2021.9663739

Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629, Cane, T., Vallee, A. and Ferryman, J. (2016) PETS 2016: dataset and challenge. In: IEEE Cnference on Computer Vision and Pattern Recognition Workshops (CVPRW), 26 June-1 July 2016, Las Vegas, USA, pp. 1240-1247.

Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629, Nawaz, T., Cane, T. and Ferryman, J. (2017) PETS 2017: dataset and challenge. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 26 July 2017, Honolulu, HI, USA. doi: https://doi.org/10.1109/CVPRW.2017.264

Pejovic, V., Bojanic, S., Carreras, C. and Badii, A. (2009) A practical method for testing high-speed networking hardware architectures. In: 2009 fifth international conference on networking and services, Valencia, Spain. doi: https://doi.org/10.1109/ICNS.2009.50

Perez, J., Soto, I., Cubillos, F., Sun, L. and Liu, K. (2013) Real-time identification and modelling in pervasive mining. In: The 14th International Conference on Informatics and Semiotics in Organisations, 25-27 March 2013, Sweden.

Pettinger, D. and Di Fatta, G. (2009) Scalability of efficient parallel K-Means. In: 5th IEEE International Conference on E-Science Workshops, 2009, 9-11 Dec. 2009, Oxford, United Kingdom, pp. 96-101. doi: https://doi.org/10.1109/ESCIW.2009.5407991

Poonpakdee, P. and Di Fatta, G. (2015) Connectivity recovery in epidemic membership protocols. In: The 8th International Conference on Internet and Distributed Computing Systems, 2-4 Sep 2015, Windsor, UK, pp. 177-189. doi: https://doi.org/10.1007/978-3-319-23237-9_16

Poonpakdee, P. and Di Fatta, G. (2014) Expansion quality of epidemic protocols. In: The 8th International Symposium on Intelligent Distributed Computing (IDC 2014), Sept. 3-5, 2014, Madrid, Spain, pp. 291-300. doi: https://doi.org/10.1007/978-3-319-10422-5_31

Prakash, N., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Mueller, C. L., Ferdinand, O. and Zielinski, O. (2022) Intelligent Marine Pollution Analysis on Spectral Data. In: OCEANS 2021, 20-23 SEPT 2021, San Diego, Porto, pp. 1-6. doi: https://doi.org/10.23919/OCEANS44145.2021.9706056

Pravin, C. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2020) A novel ECG signal denoising filter selection algorithm based on conventional neural networks. In: 19th IEEE International Conference on Machine Learning and Applications (ICMLA 2020), 14-17 Dec 2020, Miami, Florida. doi: https://doi.org/10.1109/ICMLA51294.2020.00176 (Proceeding of 2s020 19th IEEE International Conference on Machine Learning and Applications (ICMLA))

Pravin, C., Martino, I., Nicosia, G. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Adversarial robustness in deep learning: attacks on fragile neurons. In: 30th International Conference on Artificial Neural Networks, September 14-17, 2021, Bratislava, Slovakia (Online), pp. 16-28. doi: https://doi.org/10.1007/978-3-030-86362-3_2

Qi, H., Shu, Z. and Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X (2023) Topology design for data center networks using deep reinforcement learning. In: 2023 International Conference on Information Networking (ICOIN), 11-14 January 2023, Bangkok, Thailand, pp. 251-256. doi: https://doi.org/10.1109/ICOIN56518.2023.10048955

Radu, P., Ferryman, J. and Wild, P. (2015) A robust sclera segmentation algorithm. In: 7th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS 2015), September 8-11, 2015, Arlington, US, pp. 1-6.

Raj, D., Hu, S., Aslam, N., Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X, Rueangsirarak, W., Uttama, S. and Nauman, F. (2024) Elderly standing imbalance detection using noise-resilient robust mean estimator and deep learning. In: 2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 08-10 December 2023, Kuala Lumpur, Malaysia, pp. 112-117. doi: https://doi.org/10.1109/SKIMA59232.2023.10387362

Raoult, B., Di Fatta, G., Pappenberger, F. and Lawrence, B. ORCID: https://orcid.org/0000-0001-9262-7860 (2018) Fast retrieval of weather analogues in a multi-petabytes archive using wavelet-based fingerprints. In: International Conference on Computational Science, 11-13 June 2018, Wuxi, China, pp. 697-710. doi: https://doi.org/10.1007/978-3-319-93701-4_55

Rausch, P., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Stumpf, M. (2013) Efficient interactive budget planning and adjusting under financial stress. In: Thirty-Third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, 10-12 DECEMBER 2013, Cambridge UK, pp. 375-388.

Roberts, P. J., Mitchell, R. and Ruiz, V. (2008) Using triangulation to identify word senses. In: SSE Systems Engineering Conference 2008, 25-26 Sep 2008, The University of Reading. (Unpublished)

Roberts, P., Howroyd, J., Mitchell, R. and Ruiz, V. (2010) Identifying problematic classes in text classification. In: 9th IEEE International Conference on Cybernetic Intelligent Systems, 1-2 Sept 2010, Reading, UK, pp. 136-141.

Roberts, P., Mitchell, R. and Ruiz, V. (2009) Using triangulation to identify word senses. In: 8th IEEE SMC International Conference on Cybernetic Intelligent Systems (CIS), Birmingham, UK, pp. 111-116.

Rossiter, J.A., Giaouris, D., Mitchell, R. and McKenna, P. (2008) Typical control curricula and using software for teaching/assessment: a UK perspective. In: 17th IFAC World Congress, Korea.

Salvatore D., R., Deyan, D., Giorgio, J., Di Fatta, G. and Nicosia, G. (2020) Pareto multi-task deep learning. In: The 29th International Conference on Artificial Neural Networks (ICANN 2020), 15-18 September 2020, pp. 132-141. doi: https://doi.org/10.1007/978-3-030-61616-8 (Part II)

Sarica, A., Di Fatta, G. and Cannataro, M. (2014) K-Surfer: a KNIME extension for the management and analysis of Human brain MRI FreeSurfer/FSL data. In: Proceedings of the International Conference on Brain Informatics and Health, 11–14 August 2014, Warsaw, Poland, pp. 481-492.

Sarica, A., Di Fatta, G., Smith, G., Cannataro, M. and Saddy, D. ORCID: https://orcid.org/0000-0001-8501-6076 (2014) Advanced feature selection methods in multinominal dementia classification from structural MRI data. In: CADDementia workshop, Medical Image Computing and Computer Assisted Intervention (MICCAI) 2014 conference, 14-18 Sep 2014, Boston.

Savaglio, C., Gerace, P., Di Fatta, G. and Fortino, G. (2019) Data mining at the IoT edge. In: 28th International Conference on Computer Communication and Networks, 29 July - 01 Aug 2019, Valencia, Spain. doi: https://doi.org/10.1109/ICCCN.2019.8846941

Sequeira, A., Chen, L., Ferryman, J., Alonso-Fernandez, F., Bigun, J., Raja, K., R., R., Christoph, B. and Peter, W. (2016) Cross-eyed - cross-spectral iris/periocular recognition database and competition. In: 2016 International Conference of the Biometrics Special Interest Group (BIOSIG), 21-23 Sept. 2016, Darmstadt, Germany.

Sequeira, A., Chen, L., Ferryman, J., Galdi, C., Chiesa, V., Dugelay, J.-L., Maik, P., Gmitrowicz, P., Szklarski, L., Prommegger, B., Kauba, C., Kirchgasser, S., Uhl, A., Grudzie, A. and Kowalski, M. (2018) PROTECT Multimodal DB: fusion evaluation on a novel multimodal biometrics dataset envisaging Border Control. In: 2018 International Conference of the Biometrics Special Interest Group (BIOSIG), 26-28 September 2018, Darmstadt, Germany, pp. 1-5.

Sequeira, A., Chen, L., Ferryman, J., Wild, P., Alonso-Fernandez, F., Bigun, J., Raja, K., Raghavendra, R., Busch, C., de Freitas Pereira, T., Marcel, S., Sangeeta Behera, S., Gour, M. and Kanhangad, V. (2017) Cross-Eyed 2017: Cross-Spectral Iris/Periocular Recognition Competition. In: IJCB 2017: International Joint Conference on Biometrics, October 1-4, 2017, Denver, CO.

Sequeira, A. F., Thavalengal, S., Ferryman, J., Corcoran, P. and Jaime, C. S. (2016) A realistic evaluation of iris presentation attack detection. In: 39th International Conference on Telecommunications and Signal Processing (TSP), 27-29 June 2016, Vienna, Austria, pp. 660-664.

Shahrokni, A., Ellis, A. and Ferryman, J. (2009) Overall evaluation of the PETS2009 results. In: Eleventh IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Miami.

Shergill, J. S., Pravin, C. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Accent and gender recognition from English language speech and audio using signal processing and deep learning. In: International Conference on Hybrid Intelligent Systems, 14-16 Dec 2020, pp. 62-72. doi: https://doi.org/10.1007/978-3-030-73050-5_7

Sieb, C., Di Fatta, G. and Berthold, M. (2006) A hierarchical distributed approach for mining molecular fragments. In: Proceedings of the International Workshop on Parallel Data Mining, the 17th European Conference on Machine Learning and the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Berlin, Germany, 25 - 37.

Sieb, C., Di Fatta, G. and Berthold, M. R. (2006) A hierarchical distributed approach for mining molecular fragments. In: International Workshop on Parallel Data Mining, ECML/PKDD, Sept 2006, Berlin, Germany, pp. 25-37.

Sivan, K. M., Hu, S., Aslam, N., Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X, Sureephong, P., Wongsila, S. and Ahmed, S. Q. (2024) Heart rate anomaly detection using contractive autoencoder for smartwatch-based health monitoring. In: 2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 08-10 December 2023, Kuala Lumpur, Malaysia, pp. 118-123. doi: https://doi.org/10.1109/SKIMA59232.2023.10387334

Song, W., Dai, S., Wang, J., Huang, D., Liotta, A. and Di Fatta, G. (2019) Bi-gradient verification for Grad-CAM towards accurate visual explanation for remote sensing images. In: 2019 International Conference on Data Mining Workshops (ICDMW), 8-11 Nov 2019, Beijing, China, pp. 473-479. doi: https://doi.org/10.1109/ICDMW.2019.00074

Song, X., Jiang, X., Gao, J., Cai, Z. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2018) Functional locality preserving projection for dimensionality reduction. In: 2018 International Joint Conference on Neural Networks (IJCNN), 8-13,July,2018, Rio.

Spanner, M.P. and Anderson, J.A.D.W. (2006) Perspex machine V: compilation of c programs. In: Vision Geometry XIV.

Spedding, A. L., Di Fatta, G. and Cannataro, M. (2015) A Genetic Algorithm for the selection of structural MRI features for classification of Mild Cognitive Impairment and Alzheimer's Disease. In: The IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 9-12 Nov 2015, Washington D.C., pp. 1566-1571. doi: https://doi.org/10.1109/BIBM.2015.7359909

Spedding, A. L., Di Fatta, G. and Saddy, J. D. ORCID: https://orcid.org/0000-0001-8501-6076 (2015) An LDA and probability-based classifier for the diagnosis of Alzheimer's Disease from structural MRI. In: The IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 9-12 Nov 2015, Washington D.C.,, pp. 1404-1411. doi: https://doi.org/10.1109/BIBM.2015.7359883

Spencer, J., Tosi, F., Poggi, M., Singh Arora, R., Russell, C., Hadfield, S., Bowden, R., Zhou, G. Y., Li, Z., Rao, Q., Bao, Y., Liu, X., Kim, D., Kim, J., Kim, M., Lavreniuk, M., Li, R., Mao, Q., Wu, J., Zhu, Y., Sun, J., Zhang, Y., Patni, S., Agarwal, A., Arora, C., Sun, P., Jiang, K., Wu, G., Liu, J., Liu, X., Jiang, J., Zhang, X., Wei, J., Wang, F., Tan, Z., Wang, J., Luginov, A., Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X, Hosseini, S., Trajcevski, A. and Elder, J. H. (2024) The third monocular depth estimation challenge. In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 17-18 Jun 2024, Seatle, USA. doi: https://doi.org/10.1109/CVPRW63382.2024.00005

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Ferdinand, O., Nolle, L., Pehlken, A. and Zielinski, O. (2021) AI enabled bio waste contamination-scanner. In: AI-2021 Forty-first SGAI International Conference on Artificial Intelligence, 14-16 DEC 2021, Cambridge, England, pp. 357-363. doi: https://doi.org/10.1007/978-3-030-91100-3_28

Stamper, R., Liu, K., Sun, L., Tan, S., Shah, H., Sharp, B. and Dong, D. (2004) Semiotic Methods for Enterprise Design and IT Applications. In: Proceedings of the 7th International Workshop on Organisational Semiotics (OS), Setubal, Portugal.

Stolberg-Rohr, T., Buchner, R., Clausen, S., Jensen, J. M., Skouboe, A., Hawkins, G. and Hansen, R.´e. S. (2014) In optics humidity compensation in NDIR exhaust gas measurements of NO2. In: Symposium on Surface Functionalization of Optical Fiber and Waveguide Based Bio- and Chemical-Sensors, The Optical Society, 27 - 31 July, Barcelona, Spain.

Sullivan, G.D., Worrall, A.D. and Ferryman, J.M. (1995) Visual Object Recognition Using Deformable Models of Vehicles. In: Workshop on Context-Based Vision, 19th June 1995, Cambridge Massachusetts, pp. 75-86.

Sun, A., Wang, X. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2007) A camera based digit location and recognition system for garment tracking. In: 2nd International Workshop on Camera-Based Document Analysis and Recognition (CBDAR 2007), Curitiba, Brazil.

Sun, L. and Ousmanou, K. (2006) Semiotics approach for requirements articulation to support personalised knowledge construction. In: Proceedings of ECEL, 383 - 396.

Sun, L., Williams, S. and Liu, K. (2003) Knowledge Construction in E-Learning - designing an e-Learning environment. In: Proceedings of International Conference on Enterprise Information Systems, Angers, France.

Sun, L., Williams, S.A., Ousmanou, K. and Lubega, J. (2003) Building Personalised Functions into Dynamic Content Packaging to Support Individual Learners. In: 2nd European Conference on e-Learning, Glasgow.

Sun, Y., Gao, J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Guo, Y. and Harris, C. J. (2014) Dimensionality reduction assisted tensor clustering. In: 2014 International Joint Conference on Neural Networks (IJCNN), July 6-11, 2014, Beijing, China.

Taylor, R., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Martino, I. and Nicosia, G. (2021) Sensitivity analysis for deep learning: ranking hyper-parameter influence. In: 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI2021), 1-3 NOV 2021, Online. doi: https://doi.org/10.1109/ICTAI52525.2021.00083

Tennant, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gomes, J. (2015) Fast adaptive real-time classification for data streams with concept drift. In: The 8th International Conference on Internet and Distributed Computing Systems, pp. 265-272.

Tennant, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Di Fatta, G. and Gomes, J. B. (2014) Towards a parallel computationally efficient approach to scaling up data stream classification. In: Thirty-fourth SGAI International Conference on Artificial Intelligence, 9-11 Dec 2014, Cambridge, England, pp. 51-65.

Theocharous, E., P., F. N. and Hawkins, G. J. (2004) Ageing effects in cryogenically-cooled infrared filter radiometers and their implications to the performance of space instrumentation. In: The 2004 Conference on Characterization and Radiometric Calibration for Remote Sensing, Space Dynamics Laboratory, Utah State University Research Foundation.

Thiemert, D. and Badii, A. (2008) Multi-modal fingerprinting for multimedia assets: optimisation of media security protection in online distribution environments. In: SSE Systems Engineering Conference 2008 , 25-26 Sep 2008, The University of Reading. (Unpublished)

Thirde, D., Borg, M., Ferryman, J., Aguilera, J., Kampel, M. and Fernandez, G. (2006) Multi-camera tracking for airport surveillance applications. In: 11th Computer Vision Winter Workshop 2006, Telc, Czech Republic.

Thirde, D., Borg, M., Ferryman, J., Aquilera, J. and Kampel, M. (2005) Distributed Multi-Camera Surveillance for Aircraft Servicing Operations. In: International Symposium on Visual Computing (ISVC 2005), Lake Tahoe, NV, USA.

Thirde, D., Borg, M., Ferryman, J., Fusier, F., Valentin, V., Bremond, F. and Thonnat, M. (2006) A real-time scene understanding system for airport apron monitoring. In: The 2006 IEEE International Conference on Computer Vision Systems (ICVS 2006), New York City, USA.

Threadgold, T., Bowen, J. and Hawkins, G. (2013) Automated algorithms for multilayer thin film filter design using metamaterials. In: Optical Strategies for Enhancing Sensing, Imaging, Communication and Energy Conversion (NATO Advanced Study Institute), 4-19 July 2013, Erice, Italy.

Torres, R., Kunkel, J. M., Dolz, M. F. and Ludwig, T. (2018) Comparison of Clang Abstract Syntax Trees using string kernels. In: CADO 2018, 16-20 July, Orleans, France, pp. 106-113.

Truman, S.M., Mulholland, P. and Badii, A. (2005) Bridging social learning and creativity: an integrated framework for collaborative-creative music composition within the classroom. In: Proc. of the specity for education, music and psychology research (SEMPRE) Conference, Cambridge, UK.

Truman, S.M., Mulholland, P. and Badii, A. (2005) A creative alternative to symbolic music notation: Exploiting visual metaphors to encourage musical creativity in school-age children. In: Proc. of the 4th International Conference on Musical Understanding, Exeter, UK.

Turner, A., Sloan-Murphy, D., Sivalingam, K., Richardson, H. and Kunkel, J. (2019) Analysis of parallel I/O use on the UK national supercomputing service, ARCHER using Cray's LASSi and EPCC SAFE. In: Memory Bound Computing. Cray User Group, 5-9 May 2019, Montréal, Canda.

Tweed, D. and Ferryman, J. (2008) Empirical impact of cache effects for vision system design. In: 5th International Conference on Visual Information Engineering (VIE 2008), Xian, China.

Tweed, D. and Ferryman, J. (2008) Enhancing change detection in low-quality surveillance footage using markov random fields. In: 1st ACM workshop on vision networks for behavior analysis , Vancouver, Canada. doi: https://doi.org/10.1145/1461893.1461899

Umar, F.K., Hameed, S. and Badii, A. (2008) Design, implementation and evaluation of broadband low noise amplifier (LNA) for radiometer. In: European and Mediterranean conference on information systems 2008 (EMCIS 2008), Al Bostan Rotana, Dubai, UAE.

Valle, L.H.C.N., Mitchell, R. and Dimitriadi, Y. (2016) A proposal for using cybernetics science approach to understand cognitive development of critical thinking skills in students. In: VII Congresso Mundial de Estilos de Aprendizagem, 4 - 6 Jul 2016, Bragança, Portugal.

Vandaele, R., Dance, S. ORCID: https://orcid.org/0000-0003-1690-3338 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Automated water segmentation and river level detection on camera images using transfer learning. In: 42nd German Conference on Pattern Recognition (DAGM GCPR 2020), 28 Sep - 1 Oct 2020, pp. 232-245. doi: https://doi.org/10.1007/978-3-030-71278-5

Vizcaino, N. and Manjunathaiah, M. (2014) Software evolution: a graph based model. In: 2014 6th International Conference on Software Technology and Engineering, 17-18 Sept 2014, Paris, France.

Wakeham, S.J., Hawkins, G.J., Henderson, G.R. and Carthey, N.A. (2007) Investigation of Sn-based alternatives to cadmium in thin film coatings. In: Optical Interference Coatings, OSA Technical Digest (CD) (Optical Society of America, 2007), Tuscon, USA.

Wang, H.T., Wang, S. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2003) Face representation and reconstruction under different illumination conditions. In: Proceedings of the 7th International Conference on Information Visualisation, London.

Wang, H.T., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Wang, S. (2003) Face representation under different illumination. In: Proceedings of ICME2003, 2003 IEEE International Conference on Multimedia and Expo., Baltimore, Maryland, USA.

Ward, B., Pravin, C., Chetcuti, A., Hayashi, Y. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Classification of musical preference in generation Z through EEG signal processing and machine learning. In: International Conference on Intelligent Systems Design and Applications, 12-15 December 2020, https://link.springer.com/conference/isda, pp. 117-127. doi: https://doi.org/10.1007/978-3-030-71187-0_11

Wattanapanich, C. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2016) Investigation of gait representations in lower knee gait recognition. In: 5th International Conference on Pattern Recognition Applications and Methods, 24-26 February 2016, Rome, Italy.

Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Bartels, M. (2006) Gabor wavelets and Gaussian models to separate ground and non-ground for airborne scanned LIDAR data. In: 4th International Workshop on Pattern Recognition in Remote Sensing in conjunction with the 18th International Conference on Pattern Recognition, Hong Kong, 9 - 12.

Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Bartels, M. (2006) Unsupervised segmentation using Gabor wavelets and statistical feathers in LIDAR data analysis. In: 18th International Conference on Pattern Recognition, Hong Kong, 667 - 670.

Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Wan, X. (2005) An approach to reconstruct 3D model from 2D images. In: Proc. of International Conference on Computer Science and Information Systems, Athens, Greece.

Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Xu, W. (2009) Application of wavelet transform in analysing vibration signals acquired for vehicle speed measurement. In: The Eleventh IASTED International Conference on Signal and Image Processing – SIP, Honolulu, Hawaii.

Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Xu, W. (2010) A progressive approach for building extraction by fusing LIDAR data and co-registered band. In: SICE2010, International Conference on Instrumentation, Control and Information Technology, 18-21 Aug 2010, Taipei, Taiwan. (Unpublished)

Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Chen, L. and Ferryman, J. (2013) Biometrics in ABC: counter-spoofing research. In: FRONTEX 2nd Global Conference on Future Developments of Automated Border Control, 10-11 October 2013, Warsaw, Poland.

Wells, M., Hawkins, G. and Olofsson, G. (2004) The design and fabrication of multiple dichroic beamsplitters for the MIRI spectrometer (4.8-29um). In: Proc. SPIE.

Wen, P. C., Wang, X. J. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2010) Modified level set method with Canny operator for image noise removal. In: The 6th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), 23-25 Sept 2010, Chengdu, China.

Wild, P., Hofbauer, H., Ferryman, J. and Uhl, A. (2015) Segmentation-level fusion for iris recognition. In: 14th International Conference of the Biometrics Special Interest Group (BIOSIG 2015), September 9-11, 2015, Darmstadt, Germany, pp. 1-6.

Wild, P., Radu, P. and Ferryman, J. (2015) On fusion for multispectral iris recognition. In: 8th IAPR International Conference on Biometrics (ICB2015), 19-22 May, 2015, Phuket, Thailand, pp. 31-73.

Wild, P., Radu, P., Chen, L. and Ferryman, J. (2014) Towards anomaly detection for increased security in multibiometric systems: spoofing-resistant 1-median fusion eliminating outliers. In: International Joint Conference on Biometrics (IJCB2014), September 29 - October 2, 2014, Clearwater, Florida, pp. 1-6.

Williams, S., Lundqvist, K.O., Ashton, R., Evans, M. P., Parslow, P. and Porter-Daniels, E. (2008) Developing community via the RedGloo learning landscape. In: Internet Research 9.0: Rethinking Community, Rethinking Place, Copenhagen, Denmark.

Williams, S. A., Parslow, P. and Lundqvist, K. O. (2009) Position paper on the future of social networking. In: W3C Symposium, 15-16 January 2009, Barcelona, Spain.

Williams, S.A., Baker, K. and Sun, L. (2004) Design principles for constructing reusable e-learning material based on traditional practice. In: 3rd European Conference on e-Learning, Paris, France.

Worrall, A.D., Ferryman, J.M., Sullivan, G.D. and Baker, K.D. (1995) Pose and Structure Recovery using Active Models. In: 6th British Machine Vision Conference, 11-14th September, The University of Birmingham, Birmingham UK, pp. 137-146.

Wrench, C., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Di Fatta, G., Karthikeyan, V. and Nauck, D. (2015) Towards expressive rule induction on IP network event streams. In: AI-2015 Thirty-fifth SGAI International Conference on Artificial Intelligence, 15-17 December 2015, Cambridge.

Wrench, C., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Di Fatta, G., Karthikeyan, V. and Nauck, D. (2020) A rule induction approach to forecasting critical alarms in a telecommunication network. In: 2019 IEEE International Conference on Data Mining Workshops (ICDMW), 8-11 Nov 2019, Beijing, China, pp. 480-489.

Wrench, C., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Le, T., Di Fatta, G., Karthikeyan, V. and Nauck, D. (2016) A method of rule induction for predicting and describing future alarms in a telecommunication network. In: Thirty-sixth SGAI International Conference on Artificial Intelligence, 13-15 December 2016, Cambridge, UK, pp. 309-323.

Xu, W. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2010) Development of a multi-channel wireless medical data acquisition system. In: SICE 2010: International Conference on Instrumentation, Control and Information Technology, 18-21 Aug 2010, Taipei, Taiwan.

Young, D. and Ferryman, J. (2005) Faster Learning via Optimised Adaboost. In: The IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS '05), Como, Italy.

Young, D. and Ferryman, J. (2005) PETS Metrics: On-line Performance Evaluation Service. In: The Second Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS 2005), Beijing, China.

Zhang, W., Xu, M., Evans, K., Norman, M., Morales-Hernandez, M., Mahajan, S., Hill, A., Manners, J., Shipway, B. and Maynard, C. (2021) Progress towards accelerating the unified model on hybrid multi-core systems. In: PASC '21: Platform for Advanced Scientific Computing ConferencE, 5 - 9 July 2021, Geneva, Switzerland. doi: https://doi.org/10.1145/3468267.3470612

Zhou, M. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2009) Constructing week learner and performance evaluation in AdaBoost. In: The 1st International Conference on Information Science and Engineering, Nanjing , China.

Zhou, M. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2009) Facial feature extraction and selection by Gabor wavelets and boosting. In: The 2nd International Congress on Image and Signal Processing, Tianjin, China. doi: https://doi.org/10.1109/CISP.2009.5304650

Zhou, M. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2010) Multi-class AdaBoost learning of facial feature selection through grid computing. In: 9th IEEE International Conference on Cybernetic Intelligent Systems, 1-2 Sept 2010, Reading, UK, p. 130.

Zhou, M., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Maybank, S.J. (2006) Gabor wavelets and AdaBoost in feature selection for face verification. In: In Proceedings of Applications of Computer Visions 2006 workshop in conjunction with ECCV 2006, Graz, Austria, 101 - 109.

Zhu, M. and Badii, A. (2008) Semantic-level visual content descriptor combining visual and textual cues as collaterals. In: University of Reading School of Systems Engineering Annual Research Conference (SSE Conf08), Reading, UK.

Zichuan, X., Jiangkai, W., Qiufen, X., Pan, Z., Jiankang, R. and Liang, H. (2020) Identity-aware attribute recognition via real-time distributed inference in mobile edge clouds. In: ACM multi-media, 12-16 Oct 2020, Seattle, United States, pp. 3265-3273. doi: https://doi.org/10.1145/3394171.3414048

Zjavka, L., Snásel, V., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Pedrycz, W. (2016) A substitution of the general partial differential equation with extended polynomial networks. In: International Joint Conference on Neural Networks (IJCNN), 25-29 Jul 2016, Vancouver, Canada, pp. 4819-4826. doi: https://doi.org/10.1109/IJCNN.2016.7727833

Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 (2004) On improvement of classification accuracy for stochastic discrimination-multi-class Classification. In: Proc. Int. Conf. on Computing, Communications and Control Technologies, Austin, Texas.

dos Reis, T. S. and Anderson, J. (2019) Integral on transcomplex numbers. In: World Congress on Engineering 2019, 3-5 July 2019, London, UK, pp. 90-94. (ISBN 9789881404862)

dos Reis, T. S. and Anderson, J. A. D. W. (2016) Transcomplex topology and elementary functions. In: Proceedings of the World Congress on Engineering 2016, June 29 - July 1, London, pp. 164-169. (Vol 1)

dos Reis, T. S. and Anderson, J. A.D.W. (2014) Construction of the transcomplex numbers from the complex numbers. In: International Conference on Computer Science and Applications (WCECS 2014), 22-24 October 2014, San Francisco, USA,, pp. 97-102.

dos Reis, T. S. and Anderson, J. A.D.W. (2014) Transdifferential and transintegral calculus. In: International Conference on Computer Science and Applications (WCECS 2014), 22-24 October 2014, San Francisco, USA,, pp. 92-96.

Book

Anderson, J. A. D. W., ed. (1989) POP-11 comes of age: the advancement of an AI programming language. Ellis-Horwood, Chichester, pp592. ISBN 9780136505990

Baranauskas, M. C. C., Liu, K., Sun, L., Neris, V. P. d. A., Bonacin, R. and Nakata, K. ORCID: https://orcid.org/0000-0002-7986-6012, eds. (2016) Socially aware organisations and technologies: impact and challenges. Springer. ISBN 9783319421018

Boness, K. D. (1987) Introductory models for eddy current testing. UKAEA, Harwell Atomic Energy Research Establishment, Harwell, pp25. ISBN 0705812251

Boness, K. D. (1987) A send-receive instrument for digital eddy current testing with reflection coils and current deflection techniques. UKAEA, Harwell Atomic Energy Research Establishment, pp20. ISBN 0705812545

Di Fatta, G., Berthold, M. R. and Parthasarathy, S., eds. (2006) PDM 2006: Proceedings of the International Workshop on Data Mining. IEEE.

Di Fatta, G., Fortino, G., Li, W., Pathan, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Guerrieri, A., eds. (2015) Internet and distributed computing systems - 8th international conference, IDCS 2015, Windsor, UK, September 2-4, 2015. Proceedings. Lecture Notes in Computer Science, 9258. Springer. ISBN 9783319232362

Du, H., Liu, K., Zhang, Z. and Sun, L. (2010) Research methods for undergraduate, masters and doctoral students [in Chinese]. China Electronics Press, Beijing, China. ISBN 9787121103520

Ferryman, J. M., ed. (2009) Proceedings of the eleventh IEEE International Workshop on Performance Evaluation of Tracking and Surveillance. IEEE Computer Society, Miami, USA. ISBN 9780704915014

Ferryman, J. M., ed. (2010) Proceedings of the thirteenth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance. IEEE Computer Society. ISBN 9780769542645

Ferryman, J. M., ed. (2009) Proceedings of the twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance. IEEE Computer Society, Snowbird, USA. ISBN 9781424455034

Gaber, M. M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gomes, J. B. (2014) Pocket data mining - big data on small devices. Studies in big data, 2. Springer International, pp108. ISBN 9783319027104

Harris, C., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Gan, Q. (2002) Adaptive modelling, estimation and fusion from data: a neurofuzzy approach. Advanced Information Processing. Springer, Berlin, pp339. ISBN 9783540426868

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448, Heinz, E. A., Haworth, G., Schaeffer, J., van den Herik, H. J., Hsu, F.-H., Tamplin, J., Stiller, L. B., van der Heijden, H. M. J. F., Elkies, N. D., Beasley, J. D., Kotesovec, V., Grimbergen, R., van der Storm, T., Masciulli, G., Althofer, I., Levy, D. N., Beal, D., Karlsson, T. and Mittman, B. (2001) ICGA Journal 24(2): special issue on Ken Thompson. The ICGA Journal, 24 (2). The International Computer Games Association, Maastricht, The Netherlands, pp64.

Holt, N.P. and Boness, K. D. (1986) A theoretical study of the uses of eddy current impedance methods for the measurement of claddings. UKAEA, Harwell Atomic Energy Research Establishment, Harwell, pp10. ISBN 0705812235

Laing, C., Badii, A. and Vickers, P. (2012) Securing critical infrastructures and critical control systems: approaches for threat protection. IGI Global, Hershey, PA, pp450. ISBN 9781466626591

Lanum, A. W., Carmichael, J. W. S., Hutt, A. T. F., Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448, Macphail, N., Tagg, R. M., Wiles, P. R., Corbin, C. E. H., Kay, M. H., Burnard, L., Walker, D. and Babb, E. (1985) ICL Technical Journal 4(4): CAFS-ISP. ICL Technical Journal, 4 (4). Peter Peregrinus Ltd. on behalf of International Computers Ltd., London, pp. 1-175.

Mitchell, R., ed. (1989) Microcomputer systems using the STE bus. Macmillan Press, Basingstoke, pp218. ISBN 9780849371448

Mitchell, R., Browne, W., Harwin, W. ORCID: https://orcid.org/0000-0002-3928-3381 and Warwick, K. (2008) Cybernetics and its application. Pearson , Harlow. ISBN 9781847764287

Mitchell, R., Harwin, W. ORCID: https://orcid.org/0000-0002-3928-3381, Cadenas Medina, O., Guy, C., Gong, A., Potter, B. and Warwick, K., eds. (2012) Cybernetics, Circuits and Computing. Pearson, Harlow, pp499. ISBN 9781780160672

Mitchell, R. J. (1995) C++ object oriented programming. Springer Verlag, pp268. ISBN 9780387914909

Mitchell, R. J. (1995) Microprocessor systems: an introduction. Palgrave Macmillan , Basingstoke, pp320. ISBN 9780333641903

Mitchell, R. J. (1991) Modula-2 applied. Macmillan Computer Science Series. Macmillan. ISBN 9780333554531

Ochoa, S. F., Fortino, G. and Di Fatta, G., eds. (2017) Cyber-physical systems, internet of things and big data. Future Generation Computer Systems, 75. Elsevier, pp. 82-84. doi: https://doi.org/10.1016/j.future.2017.05.040

Oussalah, M., Mitchell, R. J. and Siddique, N. H., eds. (2010) Proceedings of the 9th IEEE International Conference on Cybernetic Intelligent Systems (CIS 2010). IEEE.

Parslow, P., Williams, S., Fleming, S. and Hussey, R. (2009) This is me: learning about your digital identity. OdinLab, pp41.

Thesis

Abbo, D. (2017) The analysis of cyber security: the extended Cartesian method approach with innovative study models. PhD thesis, University of Reading.

Abd Aziz, A. Z. B. (2017) Vision-based spoofing face detection using polarised light. PhD thesis, University of Reading.

Al Ghamdi, S. (2018) Efficient clustering techniques for big data. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00084926

Al-Azawei, A. H. S. (2017) Modelling e-learning adoption: the influence of learning style and universal learning theories. PhD thesis, University of Reading.

Al-Dabbagh, A. (2019) The distributed p-median problem in computer networks. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00084947

Alghamdi, H. A. (2018) A service driven method for evaluating business and IT alignment. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00084956

Almutairi, M. K. (2022) Expressive and explainable rule-based classification. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00114127

Alowayr, A. S. (2018) Effectiveness of avatars representing teachers in M-learning in Saudi Arabia higher education. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00079819

Alzubi, S. M. Y. (2022) Network intrusion detection system for detecting unknown network attacks using machine learning methods. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00110386

Anwer, M. S. (2017) Improving TCP behaviour to non-invasively share spectrum with safety messages in VANET. PhD thesis, University of Reading.

Ashlam, A. (2024) Multi-phase algorithmic framework to prevent SQL injection attacks using improved machine learning and deep learning to enhance database security in real time. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00119137

Assaf, O. (2024) Multivariate and multi-task deep learning architectures for improved stock market prediction and risk management. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00116154

Ayiad, M. (2020) Asynchronous epidemic algorithms for consistency in large-scale systems. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00089406

Badrul, N. A. B. (2016) Analysis of obligatory disclosure regarding individual’s privacy. PhD thesis, University of Reading.

Boness, K. (2011) Goal-refinement appraisal of soft projects (GRASP). PhD thesis, University of Reading.

Cane, T. A. (2019) Class-agnostic maritime object detection. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00088725

Cavalcanti das Neves Valle, L. H. (2019) Dialogues in cybernetics: a model for understanding critical thinking construction in the digital age. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00088337

Ellis, A.-L. (2012) An eye for an eye: robust motion segmentation by applying the latest in human vision research. PhD thesis, University of Reading.

Galea, D. (2022) Meteorological data reduction for tropical cyclones using deep learning techniques. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00108656

Idrees, M. M. (2024) Online semi-supervised learning in non-stationary environments. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00114864

Ihmeida, M. (2024) From images To changes: enhancing synthetic aperture radar change detection via registration and deep despeckling model. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00117925

Kattan, E. (2022) Deep supervised learning for land cover classification from remotely sensed imagery by convolutional neural networks. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00116923

Katti, A. (2016) Epidemic failure detection and consensus for message passing interface (MPI). PhD thesis, University of Reading.

Le, D. T. (2019) Expressive and modular rule-based classifier for data streams. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00085883

Mitchell, R. J. (1987) Multi-microprocessor control of processes with pure time delay. PhD thesis, University of Reading.

Nath, R. (2017) Sparse hierarchical models of vision. PhD thesis, University of Reading.

Osei-Brefo, E. (2024) Advances in machine learning algorithms for financial risk management. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00115168

Otto, F. (2016) Exploring social collaborative e-learning in higher education: a study of two universities in Uganda. PhD thesis, University of Reading.

Ozioko, F. E. (2022) Node reservation intersection control management - a strategy for autonomous and human-driven cars integration. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00116538

Pravin, C. (2023) Fragility, robustness, and antifragility in deep neural networks. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00112630

Raoult, B. (2020) Fast retrieval of weather analogues in a multi-petabyte meteorological archive. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00093430

Raval, R. K. (2018) Content driven energy efficiency analysis of hardware accelerated spatial filters for digital image processing. PhD thesis, University of Reading.

Taylor, R. (2023) Sensitivity analysis of convolutional neural networks: a ranking of hyper-parameter influence and its practical application. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00118663

Tennant, M. (2018) A parallel data stream classification technique for high velocity data streams. PhD thesis, University of Reading.

Varzandian, A. (2023) Machine learning based biomarkers for neurodegenerative disease classification. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00111984

Vizcaino, N. (2017) Software evolution: hypergraph based model of solution space andhmeta-search. PhD thesis, University of Reading.

Wattanapanich, C. (2019) Investigation of gait representations and partial body gait recognition. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00084979

Wrench, C. (2019) Expressive prediction and forecasting of alarms within a national telecommunications network. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00086163

Patent

The University of Reading (2010) Processors. GB2462770. doi: GB2462770

United Kingdom Atomic Energy Authority (1991) Eddy current testing program with scanning probe head having parallel and normal sensing coils. US5019777. doi: US5019777

Schlumberger Holdings Limited; University of Reading (2016) Temperature invariant infrared filter. .

The University of Reading (2010) Processors (WO 2010/082067 A2). WO 2010/082067 A2. doi: WO 2010/082067 A2

Norman P. Whitehead; Kenneth D. Boness; Roger Martin (1983) Information processing: US Patent 4,409,617. US Patent No 4,409,617. doi: US Patent No 4,409,617

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University of Reading

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