| Augmenting Deep Learning with Adversarial Training for Robust Prediction of Epilepsy Seizures AN Hussein, M Djandji, R Mahmoud, M Dhaybi, H Hajj ACM Transactions on Computing for Healthcare, 2020 | 23 | 2020 |
| Empathetic BERT2BERT conversational model: Learning Arabic language generation with little data T Naous, W Antoun, RA Mahmoud, H Hajj arXiv preprint arXiv:2103.04353, 2021 | 19 | 2021 |
| A systematic approach to multi-task learning from time-series data RA Mahmoud, H Hajj, FN Karameh Applied Soft Computing 96, 106586, 2020 | 12 | 2020 |
| Multi-objective learning to overcome catastrophic forgetting in time-series applications RA Mahmoud, H Hajj ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (6), 1-20, 2022 | 8 | 2022 |
| A deep model for eeg seizure detection with explainable ai using connectivity features H Partamian, F Khnaisser, M Mansour, R Mahmoud, HHF Karameh International Conference on Biomedical Engineering and Science (BIOEN 2021 …, 2021 | 4 | 2021 |
| A system identification approach for recognition of personalized user motion patterns from mobile sensing data RA Mahmoud, FN Karameh, H Hajj 2016 3rd Middle East Conference on Biomedical Engineering (MECBME), 1-5, 2016 | 2 | 2016 |
| AN ANALYTICAL STUDY OF ONE OF THE ARCHAEOLOGICAL ARABIC PAPYRI IN THE MUSEUM OF ISLAMIC ART-EGYPT R Mahmoud, R Hassan, M Mansour, H Mohamed Egyptian Journal of Archaeological & Restoration Studies 13 (2), 2023 | | 2023 |
| Machine Learning from Limited Time-series Data R Mahmoud | | 2022 |
| Multi-task learning models of time-series sensing data for personalized context recognition RA Mahmoud | | 2017 |
