| Using convolutional features and a sparse autoencoder for land-use scene classification E Othman, Y Bazi, N Alajlan, H Alhichri, F Melgani International Journal of Remote Sensing 37 (10), 2149-2167, 2016 | 162 | 2016 |
| Domain adaptation network for cross-scene classification E Othman, Y Bazi, F Melgani, H Alhichri, N Alajlan, M Zuair IEEE Transactions on Geoscience and Remote Sensing 55 (8), 4441-4456, 2017 | 123 | 2017 |
| Convolutional neural networks for electrocardiogram classification MM Al Rahhal, Y Bazi, M Al Zuair, E Othman, B BenJdira Journal of Medical and Biological Engineering 38, 1014-1025, 2018 | 84 | 2018 |
| Optimized recommendations by user profiling using apriori algorithm PK Singh, E Othman, R Ahmed, A Mahmood, H Dhahri, P Choudhury Applied Soft Computing 106, 107272, 2021 | 21 | 2021 |
| Tile-based semisupervised classification of large-scale VHR remote sensing images H Alhichri, E Othman, M Zuair, N Ammour, Y Bazi Journal of Sensors 2018, 2018 | 15 | 2018 |
| A dense phase descriptor for human ear recognition MM Al Rahhal, ML Mekhalfi, M Guermoui, E Othman, B Lei, A Mahmood IEEE Access 6, 11883-11887, 2018 | 15 | 2018 |
| Three-layer convex network for domain adaptation in multitemporal VHR images E Othman, Y Bazi, N Alajlan, H AlHichri, F Melgani IEEE Geoscience and Remote Sensing Letters 13 (3), 354-358, 2016 | 12 | 2016 |
| Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights L Awassa, I Jdey, H Dhahri, G Hcini, A Mahmood, E Othman, M Haneef Sensors 22 (5), 1890, 2022 | 11 | 2022 |
| Encoding motion cues for pedestrian path prediction in dense crowd scenarios Y Li, ML Mekhalfi, MM Al Rahhal, E Othman, H Dhahri IEEE Access 5, 24368-24375, 2017 | 9 | 2017 |
| A deep learning approach for unsupervised domain adaptation in multitemporal remote sensing images E Othman, Y Bazi, H AlHichri, N Alajlan 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 6 | 2015 |
| Robust classification of hyperspectral images based on the combination of supervised and unsupervised learning paradigms N Alajlan, Y Bazi, H AlHichri, E Othman 2012 IEEE International Geoscience and Remote Sensing Symposium, 1417-1420, 2012 | 6 | 2012 |
| Moving average multi directional local features for speaker recognition A Mahmood, G Muhammad, M Alsulaiman, H Dhahri, EMA Othman, ... Cluster Computing 22, 2145-2157, 2019 | 4 | 2019 |
| Automatic Detection of Liver Cancer Using Hybrid Pre-Trained Models E Othman, M Mahmoud, H Dhahri, H Abdulkader, A Mahmood, M Ibrahim Sensors 22 (14), 5429, 2022 | 2 | 2022 |
| Hybrid evolutionary algorithm based relevance feedback approach for image retrieval A Mahmood, M Imran, A Irtaza, Q Abbas, H Dhahri, EMA Othman, ... CMC-Comput Mater Contin 70 (1), 963-979, 2022 | 2 | 2022 |
| Particle swarm optimization algorithm for detecting distributed predicates E Al Maghayreh, H Dhahiri, F Albogamy, MM Al Rahhal, A Mahmood, ... Ieee Access 9, 105286-105296, 2021 | 2 | 2021 |
| Research Article Tile-Based Semisupervised Classification of Large-Scale VHR Remote Sensing Images H Alhichri, E Othman, M Zuair, N Ammour, Y Bazi | | 2018 |
| A novel method for minimizing data overheads in store and forward networks MM Al Rahhal, SH Bakry, EM Othman 2013 World Congress on Computer and Information Technology (WCCIT), 1-3, 2013 | | 2013 |
