2023

Hong, X., Gao, J., Wei, H., 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

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 0950-7051 doi: https://doi.org/10.1016/j.knosys.2023.110258 (110258)

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

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

2022

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

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. ISSN 0006-3592 doi: https://doi.org/10.1002/bit.28103 (In Press)

Amoudi, S. A., Hong, X. and Wei, H. (2022) Modified Probabilistic Neural Networks LBP Classification Based on Distance Measures in Probability Space. In: The 21st UK Workshop on Computational Intelligence, 7-9, Sept,2022, Sheffield. (In Press)

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 (In Press) (IEEE Xplore)

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. In: ICCNSS 2022: 16. International Conference on Computer Networks and Systems Security, May 26-27, 2022, Barcelona, Spain. (ISNI:0000000091950263)

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

Assaf, O., Di Fatta, G. and Nicosia, G. (2022) Multivariate LSTM for stock market volatility prediction. In: International Conference on Machine Learning, Optimization, and Data Science, 4-8 OCT 2021, Grasmere, UK, pp. 531-544. doi: https://doi.org/10.1007/978-3-030-95470-3_40

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

Chen, L., Boyle, J., Danelakis, A., Ferryman, J., Ferstl, S., Gicic, D., Grudzień, A., Howe, A., Marcin, K., Mierzejewski, K. and Theoharis, T. (2022) D4FLY multimodal biometric database: multimodal fusion evaluation envisaging on-the-move biometric-based border control. 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/AVSS52988.2021.9663737

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

Gao, M., Yang, F., Wei, H. 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

Hallouin, T., Ellis, R. J., Clark, D. B., Dadson, S. J., Hughes, A. G., Lawrence, B. N., 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

Hanga, K. M., Kovalchuk, Y. 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

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. and Wei, H. (2022) 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

Kirchhof, J. C., 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: ACM / IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS), 23-28 Oct 2022, Montréal, Canada. (In Press)

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. Springer, Cham, pp. 54-68, X, 277. ISBN 9783031210938 doi: https://doi.org/10.1007/978-3-031-21094-5_5

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

Lester, M. ORCID: https://orcid.org/0000-0002-2323-1771 (2022) CoPTIC: constraint programming translated into C. In: TACAS 2023: 29th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, 24-27 Apr 2023, Paris, France. (In Press)

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 (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, 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). (In Press)

Li, X., Liang, H., Ryder, C., Jones, R. 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 (vol 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)

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

Liu, X., Yang, F., Wei, H. 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. 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

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., 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. ISSN 1619-1366 doi: https://doi.org/10.1007/s10270-021-00967-x

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

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)

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, 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

Patino, L., Boyle, J., Ferryman, J., Auer, J., Pegoraro, J., Pflugfelder, R., Cokbas, M., Janusz, K., Ishwar, P., Slavic, G., Marcenaro, L., Jiang, Y., Jin, Y., Ko, H., Zhao, G., Ben-yosef, G. and Qiu, J. (2022) PETS2021: Through-foliage detection and tracking challenge and evaluation. 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/AVSS52988.2021.9663837

Patino, L., Cane, T. and Ferryman, J. (2022) 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., 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

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

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

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

Zhang, J., Zhou, D., Chen, M. and Hong, X. (2022) Continual learning for multimode dynamic process monitoring with applications to an ultra–supercritical thermal power plant. IEEE transactions on Automation Science and Engineering. ISSN 1558-3783 doi: https://doi.org/10.1109/TASE.2022.3144288

Zhang, J., Zhou, D., Chen, M. and Hong, X. (2022) 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 (In Press)

2021

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

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

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

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))

Feng, Y. and Hong, X. (2021) Parameter tracking of time-varying Hammerstein-Wiener Systems. International Journal of Systems Science. ISSN 0020-7721 doi: https://doi.org/10.1080/00207721.2021.1931546

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

Hong, X. 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

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, https://link.springer.com/chapter/10.1007%2F978-3-030-71187-0_13, pp. 140-149. doi: https://doi.org/10.1007/978-3-030-71187-0_13

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, 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)

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. 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

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.

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., 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

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.

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 (2021) Design and characterization of effective solar cells. Energy Systems. ISSN 1868-3967 doi: https://doi.org/10.1007/s12667-021-00451-x

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.

Pravin, C. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) 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

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

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

Shi, D., Gao, J., Hong, X., 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

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

Stahl, F., 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

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

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

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

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

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

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

Zhang, J., Chen, M. and Hong, X. (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

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Haworth, G. (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. 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. 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

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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. (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

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

Krabbenbos, J., van den Herik, J. and Haworth, G. (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

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., 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. 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

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

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

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

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

Maamar, Z., Baker, T., Faci, N., Al-Khafajiy, M., 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

Maamar, Z., Baker, T., Faci, N., Ugljanin, E., Al-Khafajiy, M. 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

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

Moodley, P., Rosman, B. and Hong, X. (2019) Understanding structure of concurrent actions. In: AI-2019: The Thirty-ninth SGAI International Conference, 17-19 Dec 2019, Cambridge, UK, pp. 78-90.

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

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.

Ojha, V., 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. K., 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

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

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

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

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

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

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.

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

Xu, D., Fang, M., Hong, X. 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, J., Chen, H., Chen, S. and Hong, X. (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., Chen, H., Hong, X. 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

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)

2018

Al Ghamdi, S. (2018) Efficient clustering techniques for big data. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00084926

Al-Khafajiy, M., 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., 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

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.

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

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

Alsultan, A., Warwick, K. and Wei, H. (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

Alyami, R. and Wei, H. (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.

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.

Balaji, V., Taylor, K. E., Juckes, M., Lawrence, B. N., Durack, P. J., Lautenschlager, M., Blanton, C., Cinquini, L., Denvil, S., Elkington, M., Guiglielmo, F., Guilyardi, E., Hassell, D., 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

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)

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.

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

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.

Hammoodi, M. S., Stahl, F. 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

Haworth, G. 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. 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

Hong, X., 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.

Katten, E. and Wei, H. (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. (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

Krabbenbos, J., Herik, J. v. d. and Haworth, G. (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. (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. (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. (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. (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

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. 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)

Lawrence, B. N., 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

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.

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

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., 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

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.

Maamar, Z., Baker, T., Faci, N., Ugljanin, E., Atif, Y., Al-Khafajiy, M. 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., 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

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.

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. K., 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., 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

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

Raoult, B., Di Fatta, G., Pappenberger, F. and Lawrence, B. (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

Raval, R. K. (2018) Content driven energy efficiency analysis of hardware accelerated spatial filters for digital image processing. PhD thesis, University of Reading.

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

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.

Song, X., Jiang, X., Gao, J., Cai, Z. and Hong, X. (2018) Functional locality preserving projection for dimensionality reduction. In: 2018 International Joint Conference on Neural Networks (IJCNN), 8-13,July,2018, Rio.

Tennant, M. (2018) A parallel data stream classification technique for high velocity data streams. PhD thesis, University of Reading.

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

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.

Treffers-Daller, J., 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

Zhou, K., Wang, X., Wang, Z., Wei, H. 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., 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

2017

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.

AbdAziz, A., Wei, H. 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.

Al-Azawei, A. H. S. (2017) Modelling e-learning adoption: the influence of learning style and universal learning theories. PhD thesis, University of Reading.

Almutairi, M., Stahl, F. 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

Alsultan, A., Warwick, K. and Wei, H. (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

Anwer, M. S. (2017) Improving TCP behaviour to non-invasively share spectrum with safety messages in VANET. PhD thesis, University of Reading.

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

Boyle, J., 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.

Chen, S., Hong, X., 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., 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

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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

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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

Nath, R. (2017) Sparse hierarchical models of vision. PhD thesis, University of Reading.

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

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Patino, L. 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., 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

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Vizcaino, N. (2017) Software evolution: hypergraph based model of solution space andhmeta-search. PhD thesis, University of Reading.

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

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Patino, L. 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.

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Wu, F., Wang, X., Wei, H., 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

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

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)

2015

AbdAziz, A., Wei, H. 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.

Al Ghamdi, S., Di Fatta, G. and Stahl, F. (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-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

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

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.

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. 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.

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, 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.

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, S., Hong, X., 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

Di Fatta, G., Fortino, G., Li, W., Pathan, M., Stahl, F. 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

Di Fatta, G., Reade, J., Jaworska, S. 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.

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

Fu, Y., Gao, J., Hong, X. 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

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)

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

Hong, X. 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. 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. 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., 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., 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

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)

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., 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

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.

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.

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. 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

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., 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.

Ojha, V. K., 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

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.

Patino, L. 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. 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.

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

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.

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

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. (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

Stahl, F., 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)

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

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

Tennant, M., Stahl, F. 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.

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

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

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, X., LI, Y., Wei, H. 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., 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

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.

Wrench, C., Stahl, F., 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.

Zliobaite, I., Budka, M. and Stahl, F. (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

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

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

2014

Adedoyin-Olowe, M., Gaber, M. M. and Stahl, F. (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. M. and Stahl, F. (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.

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

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

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.

Ausoni, J. T., Mitchell, R. and Holderbaum, W. (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.

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

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

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

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

Chen, H., Gong, Y., Hong, X. 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, L., Wei, H. 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, S., Hong, X. 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., 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

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.))

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

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

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., 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

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., Hong, X. 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. (2014) Joint multiple dictionary learning for tensor sparse coding. In: 2014 International Joint Conference on Neural Networks (IJCNN), July 6-11, 2014., Beijing, China.

Gaber, M. M., Gama, J., Krishnaswamy, S., Gomes, J. B. and Stahl, F. (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

Gaber, M. M., Stahl, F. 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. 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. 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. 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. and Gomes, J. B. (2014) Pocket data mining - big data on small devices. Studies in big data, 2. Springer International, pp108. ISBN 9783319027104

Gaber, M. M., Stahl, F. 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. 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. and Gomes, J. (2014) Background. In: Gaber, M. M., Stahl, F. 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

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Gao, M., Hong, X., 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

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Hong, X., 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., 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., 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., 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., 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., 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

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)

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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

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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.

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.

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

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Ojha, V. K., 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.

Osprey, A., Riley, G. D., Manjunathaiah, M. and Lawrence, B. (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.

Patino, L. 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. 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

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

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., Stahl, F. 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

Sanromà, G., Patino, L., 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

Sarica, A., Di Fatta, G., Smith, G., Cannataro, M. and Saddy, D. (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.

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.

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. 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)

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.

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., 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.

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

Tennant, M., Stahl, F., 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.

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.

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.

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.

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

2013

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Adedoyin-Olowe, M., Gaber, M. M. and Stahl, F. (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)

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

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.

Chen, H., Gong, Y. and Hong, X. (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, L., Wei, H. 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., Hong, X., 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

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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

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., 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

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

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., 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.

Gomes, J., Adedoyin-Olowe, M., Gaber, M. and Stahl, F. (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.

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

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

Hong, X. 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., 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., 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., 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., 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., 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., 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., 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

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.

Jia, G., Wang, X., Wei, H. 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

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

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

Liu, H., Gegov, A. and Stahl, F. (2013) J-measure based hybrid pruning for complexity reduction in classification rules. WSEAS Transactions on Systems, 12 (9). pp. 433-446. ISSN 2224-2678

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

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

Osprey, A., Lawrence, B., 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., Manjunathaiah, M. and Lawrence, B. (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.

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. (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

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

Rausch, P., Stahl, F. 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.

Stahl, F., 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., 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

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

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

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.

Wei, H., 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.

Wei, H. 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

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

Xia, G., Wang, X. and Wei, H. (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

2012

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.

Cao, Y., Wei, H., 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

Chen, H., Gong, Y. and Hong, X. (2012) Adaptive noise cancellation with fast tunable RBF network. In: SSPD 2012: Sensor Signal Processing for Defence, 25-27 September 2012, Imperial College, London.

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.

Evans, M., Boyle, J. N. 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)

Gao, M., Hong, X. 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

Gao, M., Hong, X., 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.

Guo, Y., Gao, J. B. and Hong, X. (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

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.

Hong, X. 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. 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., 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., 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., 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

Hong, X. 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., 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., 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

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., 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

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

Li, K., Hong, X., 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

Mitchell, R., Harwin, W., Cadenas Medina, O., Guy, C., Gong, A., Potter, B. and Warwick, K., eds. (2012) Cybernetics, Circuits and Computing. Pearson, Harlow, pp499. ISBN 9781780160672

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