| Imitation learning: A survey of learning methods A Hussein, MM Gaber, E Elyan, C Jayne ACM Computing Surveys (CSUR) 50 (2), 1-35, 2017 | 1427 | 2017 |
| Comparing different classifiers for automatic age estimation A Lanitis, C Draganova, C Christodoulou IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004 | 794 | 2004 |
| New trends on digitisation of complex engineering drawings CF Moreno-García, E Elyan, C Jayne Neural computing and applications 31, 1695-1712, 2019 | 130 | 2019 |
| A systematic review of social media-based sentiment analysis: Emerging trends and challenges QA Xu, V Chang, C Jayne Decision Analytics Journal 3, 100073, 2022 | 121 | 2022 |
| Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing SS Rahim, V Palade, J Shuttleworth, C Jayne Brain informatics 3, 249-267, 2016 | 120 | 2016 |
| Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward E Elyan, P Vuttipittayamongkol, P Johnston, K Martin, K McPherson, ... Artificial Intelligence Surgery 2 (1), 24-45, 2022 | 111 | 2022 |
| CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification E Elyan, CF Moreno-Garcia, C Jayne Neural computing and applications 33, 2839-2851, 2021 | 90 | 2021 |
| Automatic detection of microaneurysms in colour fundus images for diabetic retinopathy screening SS Rahim, C Jayne, V Palade, J Shuttleworth Neural computing and applications 27, 1149-1164, 2016 | 75 | 2016 |
| Overlap-based undersampling for improving imbalanced data classification P Vuttipittayamongkol, E Elyan, A Petrovski, C Jayne Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018 | 71 | 2018 |
| Deep imitation learning for 3D navigation tasks A Hussein, E Elyan, MM Gaber, C Jayne Neural computing and applications 29, 389-404, 2018 | 67 | 2018 |
| Symbols classification in engineering drawings E Elyan, CM Garcia, C Jayne 2018 International joint conference on neural networks (IJCNN), 1-8, 2018 | 50 | 2018 |
| Detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing SS Rahim, V Palade, C Jayne, A Holzinger, J Shuttleworth Brain Informatics and Health: 8th International Conference, BIH 2015, London …, 2015 | 50 | 2015 |
| Comparative analysis of relevance feedback methods based on two user studies S Akuma, R Iqbal, C Jayne, F Doctor Computers in human behavior 60, 138-146, 2016 | 48 | 2016 |
| Heuristics-based detection to improve text/graphics segmentation in complex engineering drawings CF Moreno-García, E Elyan, C Jayne Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 40 | 2017 |
| Effects of response-driven feedback in computer science learning JLFF Aleman, D Palmer-Brown, C Jayne IEEE transactions on education 54 (3), 501-508, 2010 | 39 | 2010 |
| Automatic screening and classification of diabetic retinopathy fundus images SS Rahim, V Palade, J Shuttleworth, C Jayne Engineering Applications of Neural Networks: 15th International Conference …, 2014 | 37 | 2014 |
| Few-shot classifier GAN A Ali-Gombe, E Elyan, Y Savoye, C Jayne 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 34 | 2018 |
| Fish classification in context of noisy images A Ali-Gombe, E Elyan, C Jayne Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 34 | 2017 |
| Video tampering localisation using features learned from authentic content P Johnston, E Elyan, C Jayne Neural computing and applications 32 (16), 12243-12257, 2020 | 32 | 2020 |
| Multiple fake classes GAN for data augmentation in face image dataset A Ali-Gombe, E Elyan, C Jayne 2019 International joint conference on neural networks (IJCNN), 1-8, 2019 | 32 | 2019 |
Andreas LanitisCyprus University of Technology & CYENS Centre of ExcellenceDirección de correo verificada de cut.ac.cy
