| Learning flexible graph-based semi-supervised embedding F Dornaika, Y El Traboulsi IEEE transactions on cybernetics 46 (1), 206-218, 2015 | 89 | 2015 |
| Matrix exponential based semi-supervised discriminant embedding for image classification F Dornaika, Y El Traboulsi Pattern Recognition 61, 92-103, 2017 | 41 | 2017 |
| Kernel flexible manifold embedding for pattern classification Y El Traboulsi, F Dornaika, A Assoum Neurocomputing 167, 517-527, 2015 | 37 | 2015 |
| Joint sparse graph and flexible embedding for graph-based semi-supervised learning F Dornaika, Y El Traboulsi Neural Networks 114, 91-95, 2019 | 32 | 2019 |
| Detecting modular brain states in rest and task A Kabbara, M Khalil, G O’Neill, K Dujardin, Y El Traboulsi, F Wendling, ... Network Neuroscience 3 (3), 878-901, 2019 | 26 | 2019 |
| Semi-supervised classification via simultaneous label and discriminant embedding estimation F Dornaika, A Baradaaji, Y El Traboulsi Information Sciences 546, 146-165, 2021 | 20 | 2021 |
| Adaptive two phase sparse representation classifier for face recognition F Dornaika, Y El Traboulsi, A Assoum Advanced Concepts for Intelligent Vision Systems: 15th International …, 2013 | 18 | 2013 |
| Inductive and flexible feature extraction for semi-supervised pattern categorization F Dornaika, Y El Traboulsi, A Assoum Pattern Recognition 60, 275-285, 2016 | 12 | 2016 |
| Flexible semi-supervised embedding based on adaptive loss regression: Application to image categorization Y El Traboulsi, F Dornaika Information Sciences 444, 1-19, 2018 | 10 | 2018 |
| Self-optimized two phase test sample sparse representation method for image classification F Dornaika, Y El Traboulsi, C Hernandez, A Assoum 2013 2nd International Conference on Advances in Biomedical Engineering, 163-166, 2013 | 7 | 2013 |
| Joint label inference and discriminant embedding F Dornaika, A Baradaaji, Y El Traboulsi IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4413-4423, 2021 | 5 | 2021 |
| Margin based semi-supervised elastic embedding for face image analysis F Dornaika, Y El Traboulsi Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 4 | 2017 |
| Semi-supervised two phase test sample sparse representation classifier Y El Traboulsi, F Dornaika, Y Ruichek Knowledge-Based Systems 160, 16-27, 2018 | 3 | 2018 |
| Image classification via semi-supervised feature extraction with out-of-sample extension F Dornaika, Y El Traboulsi, B Cases, A Assoum Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las …, 2014 | 3 | 2014 |
| Soft Label and Discriminant Embedding Estimation for Semi-Supervised Classification F Dornaika, A Baradaaji, Y El Traboulsi 2020 25th International Conference on Pattern Recognition (ICPR), 7250-7257, 2021 | 1 | 2021 |
| Detecting M/EEG modular brain states in rest and task A Kabbara, M Khalil, G O’Neill, K Dujardin, Y El Traboulsi, F Wendling, ... bioRxiv, 510727, 2019 | 1 | 2019 |
| Proposals for local basis selection for the sparse representation-based classifier F Dornaika, Y El Traboulsi Signal, Image and Video Processing 12, 1595-1601, 2018 | 1 | 2018 |
| Robust and flexible graph-based semi-supervised embedding F Dornaika, Y El Traboulsi, R Zhu 2018 24th International Conference on Pattern Recognition (ICPR), 465-470, 2018 | 1 | 2018 |
| Parameter self-tuning schemes for the two phase test sample sparse representation classifier F Dornaika, Y El Traboulsi, Y Ruichek International journal of machine learning and cybernetics 11 (7), 1387-1403, 2020 | | 2020 |
| Elastic Graph-based Semi-supervised Embedding with Adaptive Loss Regression F Dornaika, Y El Traboulsi | | 2020 |
