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Items where Division is "Department of Computer Science" and Year is 2014

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Number of items: 87.

A

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.

B

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

C

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.))

D

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.

E

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

F

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.

G

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

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

Gao, H., Wang, S., Sun, L. and Nian, F. (2014) Hierarchical clustering based web service discovery. In: 15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, 23-24 May 2014, Shanghai, China, pp. 281-291. (Service Science and Knowledge Innovation Liu, K., Gulliver, S.R., Li, W., Yu, C. (Eds.))

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

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

Gao, M., Hong, X., 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

H

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

Hong, X., Chen, S. and Harris, C. J. (2014) B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels. In: 2014 International Joint Conference on Neural Networks (IJCNN), July 6-11, 2014, Beijing, China.

Hong, X., 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)

J

Jiang, X., Gao, J., Hong, X. and Cai, Z. (2014) Gaussian processes autoencoder for dimensionality reduction. In: Part II of Proceeding 18th Pacific-Asia Conference, PAKDD 2014, May 13-16, 2014, Tainan, Taiwan.

K

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

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

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

L

Le, T., Stahl, F., Gomes, J. B., Gaber, M. M. and Di Fatta, G. (2014) Computationally efficient rule-based classification for continuous streaming data. In: Thirty-fourth SGAI International Conference on Artificial Intelligence, 9-11 Dec 2014, Cambridge, England, pp. 21-34.

Liang, H., Wang, Y., Christen, P. and Gayler, R. (2014) Noise-tolerant approximate blocking for dynamic real-time entity resolution. In: The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 13-16 May 2014, Taiwan, pp. 449-460.

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

Liu, H., Gegov, A. and Stahl, F. (2014) Categorization and construction of rule based systems. In: 15th International Conference on Engineering Applications of Neural Networks, Sofia, Bulgaria, pp. 183-194. (Engineering Applications of Neural Networks: Mladenov, Valeri, Jayne, Chrisina, Iliadis, Lazaros (eds.) Communications in Computer and Information Science, Vol. 459 Springer)

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

Liyanagunawardena, T. R., Lundqvist, K., Parslow, P. and Williams, S. (2014) MOOCs and retention: does it really matter? In: Can MOOCs save Europe's unemployed youth? EC TEL, 16th September, Graz.

Liyanagunawardena, T. R., Parslow, P. and Williams, S. (2014) Dropout: MOOC participants’perspective. In: EMOOCs 2014, the Second MOOC European Stakeholders Summit, 10-12 th February 2014, Lausanne, Switzerland, pp. 95-100.

M

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.

O

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Jackowski, K., Abraham, A. and Snásel, V. (2014) Feature selection and ensemble of regression models for predicting the protein macromolecule dissolution profile. In: 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014), 30 July-1 Aug. 2014, Porto, Portugal, pp. 121-126. doi: https://doi.org/10.1109/NaBIC.2014.6921864

Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Jackowski, K., Snášel, V. and Abraham, A. (2014) Dimensionality reduction and prediction of the protein macromolecule dissolution profile. In: The Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA, 23-25 Jun 2014, Ostrava, Czech Republic, pp. 301-310. doi: https://doi.org/10.1007/978-3-319-08156-4_30

Ojha, V. K. ORCID: https://orcid.org/0000-0002-9256-1192, Abraham, A. and Snasel, V. (2014) Simultaneous optimization of neural network weights and active nodes using metaheuristics. In: 14th International Conference on Hybrid Intelligent Systems, 14-16 Dec 2014, Kuwait, pp. 248-253. doi: https://doi.org/10.1109/HIS.2014.7086207

Ojha, V. K., 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.

P

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

R

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

S

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.

T

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.

V

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.

W

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.

Ž

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

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

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