A transfer learning-based system for grading breast invasive ductal carcinoma Radhakrishnan Sujatha, Jyotir Moy Chatterjee, Angelopoulou, A., Kapetanios, E., Parvathaneni Naga Srinivasu and Duraisamy Jude Hemanth 2023. A transfer learning-based system for grading breast invasive ductal carcinoma. IET Image Processing. 17 (7), pp. 1979-1990. https://doi.org/10.1049/ipr2.12660
Hybrid deep convolutional neural models for iris image recognition 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
2020
A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment Fernández Montenegro, Juan Manuel, Villarini, B., Angelopoulou, A., Kapetanios, E., Garcia-Rodriguez, J. and Argyriou, Vasileios 2020. A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment. Sensors. 20 (24) e7292. https://doi.org/10.3390/s20247292
Brain-Inspired Intelligent Systems for Daily Assistance 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
2018
Fast 2D/3D object representation with growing neural gas 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
2016
Real time motion estimation using a neural architecture implemented on GPUs 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
Active foreground region extraction and tracking for sports video annotation Mentzelopoulos, M., Psarrou, A., Angelopoulou, A. and Garcia-Rodriguez, J. 2013. Active foreground region extraction and tracking for sports video annotation. Neural Processing Letters. 37 (1), pp. 33-46. https://doi.org/10.1007/s11063-012-9267-4
Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model Dilna, K.T., Anitha, J., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08757-8_5
Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines Surendran, R., Anitha, J., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08754-7_6
2021
A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users 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
2020
Machine Learning for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language 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).
2019
Feature Extraction Techniques for Human Emotion Identification from Face Images 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
2019
Iris Image Recognition using Optimized Kohonen Self Organizing Neural Network 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
2018
Measuring the Engagement of the Learner in a Controlled Environment Using Three Different Biosensors 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
2016
Performance Evaluation of a Statistical and a Neural Network Model for Nonrigid Shape-Based Registration 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
2015
Affective Computing to Enhance E-Learning in Segregated Societies 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
2013
Adaptive learning in motion analysis with self-organising maps Angelopoulou, A., Garcia-Rodriguez, J., Psarrou, A., Gupta, G. and Mentzelopoulos, M. 2013. Adaptive learning in motion analysis with self-organising maps. International Joint Conference on Neural Networks (IJCNN). Dallas, TX 04 Aug 2013 IEEE . https://doi.org/10.1109/IJCNN.2013.6707135
2013
A semi-parametric approach for football video annotation Mentzelopoulos, M., Psarrou, A., Angelopoulou, A. and Garcia-Rodriguez, J. 2013. A semi-parametric approach for football video annotation. International Joint Conference on Neural Networks (IJCNN). Dallas, TX 04 Aug 2013 IEEE . https://doi.org/10.1109/IJCNN.2013.6706720
2013
Natural User Interfaces in Volume Visualisation using Microsoft Kinect Angelopoulou, A., Garcia-Rodriguez, J., Psarrou, A., Mentzelopoulos, M., Reddy, B., Orts Escolano, S., Serra, J.A. and Lewis, A. 2013. Natural User Interfaces in Volume Visualisation using Microsoft Kinect. ICIAP 2013 International Workshops. Naples, Italy 09 Sep 2013 Springer. https://doi.org/10.1007/978-3-642-41190-8_2
2012
Image segmentation based on semi-greedy region merging Gupta, G., Psarrou, A. and Angelopoulou, A. 2012. Image segmentation based on semi-greedy region merging. IET Image Processing Conference. University of Westminster 3th - 4th July 2012 Stevenage Institution of Engineering and Technology (IET). pp. 211-214 https://doi.org/10.1049/cp.2012.0431
2011
Fast Autonomous Growing Neural Gas Garcia-Rodriguez, J., Angelopoulou, A., Orts Escolano, S., García-Chamizo, J.M., Psarrou, A. and Garcia Rodriguez, J. 2011. Fast Autonomous Growing Neural Gas. 2011 International Joint Conference on Neural Networks (IJCNN). San Jose, California July 31 - August 5, 2011 https://doi.org/10.1109/ijcnn.2011.6033293
2010
Hand gesture modelling and tracking using a self-organising network Angelopoulou, A., Garcia-Rodriguez, J., Psarrou, A. and Gupta, G. 2010. Hand gesture modelling and tracking using a self-organising network. The 2010 International Joint Conference on Neural Networks (IJCNN) . Barcelona 18 Jul 2010 IEEE . https://doi.org/10.1109/IJCNN.2010.5596288
2005
Probablistic image-based characterisation of manuscript inks Psarrou, A. and Angelopoulou, A. 2005. Probablistic image-based characterisation of manuscript inks. SPIE International Symposium on Optical Metrology. Munich, Germany 13-17 Jun 2005
diARTgnosis: study of European religious painting Angelopoulou, A., Mantratzis, C., Psarrou, A. and Konstantinou, V. 2004. diARTgnosis: study of European religious painting. 2nd International Conference of Museology. Mytilene, Greece 28 Jun - 02 Jul 2004
3D gesture recognition with growing neural gas Sera-Perez, J.A., Garcia Rodriguez, J., Orts-Escolano, S., García-Chamizo, J.M., Montoyo-Bojo, J., Angelopoulou, A., Psarrou, A., Mentzelopoulos, M., Lewis, A. and Orts Escolano, S. 2013. 3D gesture recognition with growing neural gas. in: Proceedings of the International Joint Conference in Neural Networks, IJCNN 2013, 2-9 August 2013, Dallas, USA IEEE . pp. 3034-3041
2013
3D hand pose estimation with neural networks Serra, J.A., Garcia-Rodriguez, J., Orts Escolano, S., Garcia-Chamizo, J.M., Angelopoulou, A., Psarrou, A., Mentzelopoulos, M., Montoyo-Bojo, J. and Domínguez, E. 2013. 3D hand pose estimation with neural networks. in: Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013 Springer.
2013
Football video annotation based on player motion recognition using enhanced entropy Mentzelopoulos, M., Psarrou, A., Angelopoulou, A. and Garcia-Rodriguez, J. 2013. Football video annotation based on player motion recognition using enhanced entropy. in: Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013 Springer.
2012
Region analysis through close contour transformation using growing neural gas Gupta, G., Psarrou, A., Angelopoulou, A. and Garcia Rodriguez, J. 2012. Region analysis through close contour transformation using growing neural gas. in: WCCI 2012 IEEE World Congress on Computational Intelligence, IJCNN, Brisbane, Australia, 10-15 June 2012 IEEE . pp. 1-8
2012
Building visual surveillance systems with neural networks. Garcia Rodriguez, J., Angelopoulou, A., Mora-Gimeno, F.J. and Psarrou, A. 2012. Building visual surveillance systems with neural networks. in: Elizondo, D.A., Solanas, A. and Martinez-Balleste, A. (ed.) Computational Intelligence for Privacy and Security Springer.
2012
Mobile augmented reality for cultural heritage Angelopoulou, A., Economou, D., Bouki, V., Psarrou, A., Jin, L., Pritchard, C. and Kolyda, F. 2012. Mobile augmented reality for cultural heritage. in: Mobile wireless middleware, operating systems and applications: 4th international ICST conference, Mobilware 2011. London, UK, June 2011. Revised selected papers. Springer.
2011
Fast image representation with GPU-based growing neural gas Garcia-Rodriguez, J., Angelopoulou, A., Morell, V., Orts Escolano, S., Psarrou, A. and Garcia-Chamizo, J.M. 2011. Fast image representation with GPU-based growing neural gas. in: Cabestany, J., Rojas, I. and Joya, G. (ed.) Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II Springer.
2011
"Cognitive theory of multimedia learning" and learning videos design: The "redundancy principle" Bouki, V., Economou, D. and Angelopoulou, A. 2011. "Cognitive theory of multimedia learning" and learning videos design: The "redundancy principle". in: SIGDOC'11: proceedings of the 29th ACM international conference on design of communication, October 3 - 5, 2011, Pisa, Italy ACM. pp. 271-278
2011
A growing neural gas algorithm with applications in hand modelling and tracking Angelopoulou, A., Psarrou, A. and García Rodríguez, J. 2011. A growing neural gas algorithm with applications in hand modelling and tracking. in: Cabestany, J., Rojas, I. and Joya, G. (ed.) Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II Springer.
2011
Object representation with self-organising networks Angelopoulou, A., Psarrou, A. and García Rodríguez, J. 2011. Object representation with self-organising networks. in: Cabestany, J., Rojas, I. and Joya, G. (ed.) Advances in computational intelligence: 11th international work-conference on artificial neural networks, IWANN 2011, Torremolinos-Malaga, Spain, June 8-10, 2011 Springer. pp. 244-251
2011
An unsupervised method for active region extraction in sports videos Mentzelopoulos, M., Psarrou, A. and Angelopoulou, A. 2011. An unsupervised method for active region extraction in sports videos. in: Cabestany J., Rojas I. and Joya G. (ed.) Advances in Computational Intelligence. IWANN 2011. Lecture Notes in Computer Science, vol 6692 Springer. pp. 42-49
2010
GNG based surveillance system Garcia Rodriguez, J., Angelopoulou, A., García-Chamizo, J.M. and Psarrou, A. 2010. GNG based surveillance system. in: 2010 International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, 18-23 July 2010 IEEE . pp. 1-8
2010
Tracking gestures using a probabilistic self-organising network Angelopoulou, A., Psarrou, A., Garcia Rodriguez, J. and Gupta, G. 2010. Tracking gestures using a probabilistic self-organising network. in: 2010 International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, 18-23 July 2010 IEEE . pp. 1-7
2009
Generic colour image segmentation via multi-stage region merging Gupta, G., Psarrou, A. and Angelopoulou, A. 2009. Generic colour image segmentation via multi-stage region merging. in: Proceedings of the 10th Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '09) IEEE . pp. 185-188
2008
Active-GNG: model acquisition and tracking in cluttered backgrounds Angelopoulou, A., Psarrou, A., Garcia Rodriguez, J. and Gupta, G. 2008. Active-GNG: model acquisition and tracking in cluttered backgrounds. in: VNBA '08: Proceeding of the 1st ACM workshop on vision networks for behavior analysis ACM. pp. 17-22
2007
Robust modelling and tracking of NonRigid objects using Active-GNG Angelopoulou, A., Psarrou, A., Gupta, G. and Garcia Rodriguez, J. 2007. Robust modelling and tracking of NonRigid objects using Active-GNG. in: IEEE Workshop on Non-rigid Registration and Tracking through Learning, NRTL 2007, in conjunction with ICCV 2007, 14-21 October 2007, Rio de Janeiro Los Alamitos, USA IEEE . pp. 1-7
2007
Nonparametric modelling and tracking with Active-GNG Angelopoulou, A., Psarrou, A., Gupta, G. and Garcia Rodriguez, J. 2007. Nonparametric modelling and tracking with Active-GNG. in: Lew, M., Sebe, N., Huang, T.S. and Bakker, E.M. (ed.) Human-Computer Interaction: IEEE international workshop, HCI 2007, Rio de Janeiro, Brazil, October 20, 2007; proceedings Berlin Springer.
2006
Automatically building 2D statistical shapes using the topology preservation model GNG Garcia Rodriguez, J., Angelopoulou, A., Psarrou, A. and Revett, K. 2006. Automatically building 2D statistical shapes using the topology preservation model GNG. in: Narayanan, P.J., Nayar, S.K. and Shum, H.Y. (ed.) Computer Vision ACCV 2006: 7th Asian Conference on Computer Vision, Hyderabad, India, January 13-16, 2006: Proceedings, Part I Springer.
2006
Learning 2D hand shapes using the topology preservation model GNG Angelopoulou, A., Rodríguez, J.G. and Psarrou, A. 2006. Learning 2D hand shapes using the topology preservation model GNG. in: Leonardis, A., Bischof, H. and Pinz, A. (ed.) Proceedings of the 9th IEEE European Conference on Computer Vision, ECCV 2006 Hamburg, Germany Springer. pp. 313-324
2005
Automatic landmarking of 2D medical shapes using the growing neural gas network Angelopoulou, A., Psarrou, A., Rodríguez, J.G. and Revett, K. 2005. Automatic landmarking of 2D medical shapes using the growing neural gas network. in: Liu, Y., Jiang, T. and Zhang, C. (ed.) Computer Vision for Biomedical Image Applications: First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005, Proceedings Berlin, Germany Springer.
2005
Automatic landmark extraction from a class of hands using growing neural gas Angelopoulou, A., Garcia Rodriguez, J. and Psarrou, A. 2005. Automatic landmark extraction from a class of hands using growing neural gas. in: Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005 Tokyo, Japan IAPR MVA Conference Committee. pp. 168-171
2001
An extensible movie system interface for information-rich television Angelopoulou, A., Psarrou, A. and Parapadakis, D. 2001. An extensible movie system interface for information-rich television. in: Graham, P., Maheswaran, M. and Eskicioglu, M.R. (ed.) Proceedings of the International Conference on Internet Computing, IC'2001, Las Vegas, Nevada, USA, June 25-28, 2001 USA CSREA Press.
Autonomous Growing Neural Gas for applications with time constraint: Optimal parameter estimation García-Rodríguez, J., Angelopoulou, A., García-Chamizo, J.M., Psarrou, A., Orts Escolano, S. and Morell Giménez, V. 2012. Autonomous Growing Neural Gas for applications with time constraint: Optimal parameter estimation. Neural Networks. 32, pp. 196-208. https://doi.org/10.1016/j.neunet.2012.02.032
2006
Growing neural gas (GNG): A soft competitive learning method for 2D hand modelling García Rodríguez, J., Angelopoulou, A. and Psarrou, A. 2006. Growing neural gas (GNG): A soft competitive learning method for 2D hand modelling. IEICE Transactions on Information and Systems. E89-D (7), pp. 2124-2131. https://doi.org/10.1093/ietisy/e89-d.7.2124
Editorial: Methods and protocols in Brain-Computer Interfaces Anastasia Angelopoulou, Ines Chihi and Jude Hemanth 2024. Editorial: Methods and protocols in Brain-Computer Interfaces. Frontiers in Human Neuroscience. 18:1447973. https://doi.org/10.3389/fnhum.2024.1447973
2023
Editorial: Women in AI medicine and public health 2022 Lin-Ching Chang and Anastasia Angelopoulou 2023. Editorial: Women in AI medicine and public health 2022. Frontiers in Big Data. 6 1303367. https://doi.org/10.3389/fdata.2023.1303367
2022
Editorial: Explanation in Human-AI Systems Kapetanios, D.E., Angelopoulou, A., Smith, D.H., Steuber, V., Woll, B. and Zeller, F. 2022. Editorial: Explanation in Human-AI Systems. Frontiers in Artificial Intelligence. 5 1048568. https://doi.org/10.3389/frai.2022.1048568
Model probability in self-organising maps Angelopoulou, A., Psarrou, A., García-Rodríguez, J., Mentzelopoulos, M. and Gupta, G. 2013. Model probability in self-organising maps. Springer.
2011
Video and image processing with self-organizing neural networks García-Rodríguez, J., Domínguez, E., Angelopoulou, A., Psarrou, A., Mora-Gimeno, F.J., Orts, S. and García-Chamizo, J.M. 2011. Video and image processing with self-organizing neural networks. Springer.
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