Cognitive Computing

Jenkin Winston, J., Hemmanth, J., Angelopoulou, A. and Kapetanios, E. 2022. Hybrid deep convolutional neural models for iris image recognition. Multimedia Tools and Applications. 81, pp. 9481-9503. https://doi.org/10.1007/s11042-021-11482-y

Liang, X., Angelopoulou, A., Kapetanios, E., Woll, B. and Al Batat, R. 2021. A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users. Adrien Bartoli and Andrea Fusiello (ed.) Sign Language Recognition, Translation & Production (SLRTP) Workshop, in conjunction with the ECCV 2020 Conference. Springer. https://doi.org/10.1007/978-3-030-66096-3_20

Kapetanios, E., Sugumaran, V. and Angelopoulou, A. 2020. Exploring the Suitability of Semantic Spaces as Word Association Models for the Extraction of Semantic Relationships. arXiv:2004.14265. https://doi.org/arXiv:2004.14265

Xing Liang, Bencie Woll, Kapetanios, E., Angelopoulou, A. and Reda Al batat 2020. Machine Learning for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language. LREC 2020, 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives. Marseille 11 - 16 May 2020 European Language Resources Association (ELRA).

Flynn, M., Effraimidis, D., Angelopoulou, A., Kapetanios, E., Williams, D., Hemanth, J. and Towell, T. 2020. Assessing the Effectiveness of Automated Emotion Recognition in Adults and Children for Clinical Investigation. Frontiers in Human Neuroscience. 14 70. https://doi.org/10.3389/fnhum.2020.00070

M. Kalpana Chowdary, D.Jude Hemanth, Angelopoulou, A. and Kapetanios, E. 2019. Feature Extraction Techniques for Human Emotion Identification from Face Images. The 9th International Conference on Imaging for Crime Detection and Prevention. 16 - 18 Dec 2019 Institution of Engineering and Technology (IET). https://doi.org/10.1049/cp.2019.1173

Jenkin Winston, J., Jude Hemanth, D., Angelopoulou, A. and Kapetanios, E. 2019. Iris Image Recognition using Optimized Kohonen Self Organizing Neural Network. The 9th International Conference on Imaging for Crime Detection and Prevention. 16 - 18 Dec 2019 Institution of Engineering and Technology (IET). https://doi.org/10.1049/cp.2019.1171

Liang, X., Kapetanios, D.E., Woll, B. and Angelopoulou, A. 2019. Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language. in: Machine Learning and Knowledge Extraction. CD-MAKE 2019 Springer.

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

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

Angelopoulou, A., Garcia-Rodriguez, J., Orts Escolano, S., Kapetanios, D.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. 22 (4), p. 1667–1685. https://doi.org/10.1007/s10044-019-00819-x

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. https://doi.org/10.5220/0006788202780284

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. https://doi.org/10.1007/s00521-016-2579-y

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. https://doi.org/10.1016/j.eswa.2016.12.008

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 . https://doi.org/10.1109/IPTA.2016.7820990

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. https://doi.org/10.1007/978-3-319-41754-7_33

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

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. https://doi.org/10.4230/OASIcs.ICCSW.2015.13

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. https://doi.org/10.1109/TPEL.2014.2376413

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. https://doi.org/10.1016/j.neucom.2014.03.078

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 . https://doi.org/10.1109/IEVC.2014.7056199

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. https://doi.org/10.14569/IJACSA.2014.050609