Cognitive Computing

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Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language

Conference paper

Liang, X., Kapetanios, E., Angelopoulou, A. and Woll, B. 2019. Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language . Cross Domain Conference for Machine Learning and Knowledge Extraction. University of Kent, Canterbury, UK 26 - 28 Aug 2019 Springer. doi:10.1007/978-3-030-29726-8_24

Brain-Inspired Intelligent Systems for Daily Assistance

Edited issue

Angelopoulou, A., Kapetanios, E., Garcia Rodriguez, J., Peter M Roth and Revett, K. 2019. Brain-Inspired Intelligent Systems for Daily Assistance. Computational Intelligence and Neuroscience. 2009. doi:10.1155/2019/7597839

Complex Methods Applied to Data Analysis, Processing, and Visualisation

Edited issue

Garcia Rodriguez, J., Angelopoulou, A., David Tomas and Lewis, A. 2019. Complex Methods Applied to Data Analysis, Processing, and Visualisation. Complexity. doi:10.1155/2019/9316123

Evaluation of different chrominance models in the detection and reconstruction of faces and hands using the growing neural gas network

Journal article

Angelopoulou, A., Garcia-Rodriguez, J., Orts-Escolano, S., Kapetanios, E., Liang, X., Woll, B. and Psarrou, A. 2019. Evaluation of different chrominance models in the detection and reconstruction of faces and hands using the growing neural gas network. Pattern Analysis and Applications (PAA). 22 (4), p. 1667–1685. doi:10.1007/s10044-019-00819-x

Measuring the Engagement of the Learner in a Controlled Environment Using Three Different Biosensors

Conference paper

El-Abbasy, K., Angelopoulou, A. and Towell, A. 2018. Measuring the Engagement of the Learner in a Controlled Environment Using Three Different Biosensors. 10th International Conference on Computer Supported Education. Madeira, Portugal 15 - 17 Mar 2018 SCITEPRESS. doi:10.5220/0006788202780284

Fast 2D/3D object representation with growing neural gas

Article

Angelopoulou, A., Garcia-Rodriguez, J., Orts Escolano, S., Gupta, G. and Psarrou, A. 2018. Fast 2D/3D object representation with growing neural gas. Neural Computing and Applications. 29 (10), pp. 903-919. doi:10.1007/s00521-016-2579-y

Automatic Selection of Molecular Descriptors using Random Forest: Application to Drug Discovery

Article

Cano, G., Garcia-Rodriguez, J., Garcia-Garcia, A, Perez-Sanchez, H., Benediktsson, J.A., Thapa, A. and Barr, A.J. 2016. Automatic Selection of Molecular Descriptors using Random Forest: Application to Drug Discovery. Expert Systems with Applications. 72, pp. 151-159. doi:10.1016/j.eswa.2016.12.008

Performance Evaluation of a Statistical and a Neural Network Model for Nonrigid Shape-Based Registration

Conference paper

Angelopoulou, A., Psarrou, A., Garcia-Rodriguez, J. and Mentzelopoulos, M. 2016. Performance Evaluation of a Statistical and a Neural Network Model for Nonrigid Shape-Based Registration. Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA'16). Finland 12 - 15 Dec 2016 IEEE . doi:10.1109/IPTA.2016.7820990

Are Deep Learning Approaches Suitable for Natural Language Processing?

Conference paper

Alshahrani, S. and Kapetanios, E. 2016. Are Deep Learning Approaches Suitable for Natural Language Processing? NLDB 2016: 21st International Conference on Applications of Natural Language to Information Systems. Salford, Manchester, UK 22 - 24 Jun 2016 Springer. doi:10.1007/978-3-319-41754-7_33

Real time motion estimation using a neural architecture implemented on GPUs

Article

Garcia-Jose Rodriguez, Orts-Sergio Escolano, Angelopoulou, A., Alexandra Psarrou, Azorin-Lopez, J., García-Chamizo, J.M., Garcia-Rodriguez, J., Orts Escolano, S. and Psarrou, A. 2016. Real time motion estimation using a neural architecture implemented on GPUs. Real-Time Image Processing. 11 (4), pp. 731-749. doi:10.1007/s11554-014-0417-y

Affective Computing to Enhance E-Learning in Segregated Societies

Conference paper

El-Abbasy, K., Angelopoulou, A. and Towell, A. 2015. Affective Computing to Enhance E-Learning in Segregated Societies. 2015 Imperial College Computing Student Workshop (ICCSW 2015). London 23 Sep 2015 OpenAccess Series in Informatics. doi:10.4230/OASIcs.ICCSW.2015.13

Developing Prognostic Models Using Duality Principles for DC-to-DC Converters

Journal article

Samie, M., Motlagh, A.M.S., Alghassi, A., Perinpanayagam, S. and Kapetanios, E. 2015. Developing Prognostic Models Using Duality Principles for DC-to-DC Converters. IEEE Transactions on Power Electronics. 30 (5), pp. 2872 - 2884. doi:10.1109/TPEL.2014.2376413

3D Reconstruction of Medical Images from Slices Automatically Landmarked with Growing Neural Models

Journal article

Angelopoulou, A., Psarrou, A., Garcia-Rodriguez, J., Orts Escolano, S., Azorin-Lopez, J. and Revett, K. 2015. 3D Reconstruction of Medical Images from Slices Automatically Landmarked with Growing Neural Models. Neurocomputing. 150 (A), pp. 16-25. doi:10.1016/j.neucom.2014.03.078

Reliability enhanced EV using pattern recognition techniques

Conference paper

Samie, M., Motlagh, A.M.S., Alghassi, A., Perinpanayagam, S. and Kapetanios, E. 2014. Reliability enhanced EV using pattern recognition techniques. Electric Vehicle Conference (IEVC), 2014 IEEE International . Florence 17 Dec 2014 IEEE . doi:10.1109/IEVC.2014.7056199

Principle of Duality on Prognostics

Journal article

Samie, M., Amir, M., Motlagh, A.M.S., Alghassi, A., Perinpanayagam, S. and Kapetanios, E. 2014. Principle of Duality on Prognostics. International Journal of Advanced Computer Science and Applications(IJACSA). 5 (6), pp. 43-52. doi:10.14569/IJACSA.2014.050609


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Baldwin, Mark

Associate Head - DCDI - ES


Barr, Alastair

Senior Lecturer