| Visual affordance and function understanding: A survey M Hassanin, S Khan, M Tahtali ACM Computing Surveys (CSUR) 54 (3), 1-35, 2021 | 127 | 2021 |
| Moth-flame optimization for training multi-layer perceptrons W Yamany, M Fawzy, A Tharwat, AE Hassanien 2015 11th International computer engineering Conference (ICENCO), 267-272, 2015 | 114 | 2015 |
| A new multi-layer perceptrons trainer based on ant lion optimization algorithm W Yamany, A Tharwat, MF Hassanin, T Gaber, AE Hassanien, TH Kim 2015 Fourth international conference on information science and industrial …, 2015 | 69 | 2015 |
| Visual attention methods in deep learning: An in-depth survey M Hassanin, S Anwar, I Radwan, FS Khan, A Mian Information Fusion, 102417, 2024 | 67 | 2024 |
| Grey wolf optimizer-based back-propagation neural network algorithm AEH Mohamed F. Hassanin, Abdullah M. Shoeb Computer Engineering Conference (ICENCO), 2016 12th International, 2016 | 37* | 2016 |
| Learning discriminative representations for multi-label image recognition M Hassanin, I Radwan, S Khan, M Tahtali Journal of Visual Communication and Image Representation 83, 103448, 2022 | 23 | 2022 |
| Crossformer: Cross spatio-temporal transformer for 3d human pose estimation M Hassanin, A Khamiss, M Bennamoun, F Boussaid, I Radwan arXiv preprint arXiv:2203.13387, 2022 | 18 | 2022 |
| DDBSCAN: Different densities-based spatial clustering of applications with noise MF Hassanin, M Hassan, A Shoeb 2015 International Conference on Control, Instrumentation, Communication and …, 2015 | 16 | 2015 |
| Quranic script optical text recognition using deep learning in IoT systems M Badry, M Hassanin, A Chandio, N Moustafa CMC-Comput. Mater. Contin 68, 1847-1858, 2021 | 9 | 2021 |
| DFSat: Deep federated learning for identifying cyber threats in IoT-based satellite networks N Moustafa, IA Khan, M Hassanin, D Ormrod, D Pi, I Razzak, J Slay IEEE Transactions on Industrial Informatics, 2022 | 8 | 2022 |
| Designing multilayer feedforward neural networks using multi-verse optimizer MF Hassanin, AM Shoeb, AE Hassanien Handbook of Research on Machine Learning Innovations and Trends, 1076-1093, 2017 | 8 | 2017 |
| Visual attention methods in deep learning: An in-depth survey. arXiv 2022 M Hassanin, S Anwar, I Radwan, FS Khan, A Mian arXiv preprint arXiv:2204.07756, 0 | 8 | |
| A new localization objective for accurate fine-grained affordance segmentation under high-scale variations M Hassanin, S Khan, M Tahtali IEEE Access 8, 28123-28132, 2019 | 7 | 2019 |
| Mitigating the impact of adversarial attacks in very deep networks M Hassanin, I Radwan, N Moustafa, M Tahtali, N Kumar Applied Soft Computing 105, 107231, 2021 | 5 | 2021 |
| Deep Federated Learning-Based Threat Detection Model for Extreme Satellite Communications S Salim, N Moustafa, M Hassanian, D Ormod, J Slay IEEE Internet of Things Journal, 2023 | 4 | 2023 |
| Machine Learning-Based Land Use and Land Cover Mapping Using Multi-Spectral Satellite Imagery: A Case Study in Egypt R Mahmoud, M Hassanin, HA Feel, B M., Rasha Sustainability, 2023 | 4 | 2023 |
| Dbclum: density-based clustering and merging algorithm M Fawzy, A Badr, M Reda, I Farag International Journal of Computer Applications 79 (14), 1-6, 2013 | 4 | 2013 |
| Icml 2023 topological deep learning challenge: Design and results M Papillon, M Hajij, A Myers, F Frantzen, G Zamzmi, H Jenne, J Mathe, ... Topological, Algebraic and Geometric Learning Workshops 2023, 3-8, 2023 | 3 | 2023 |
| Rethinking maximum-margin softmax for adversarial robustness M Hassanin, N Moustafa, M Tahtali, KKR Choo Computers & Security 116, 102640, 2022 | 3 | 2022 |
| A deep marginal-contrastive defense against adversarial attacks on 1D models M Hassanin, N Moustafa, M Tahtali 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1499-1505, 2020 | 3 | 2020 |
Murat TahtaliUNSW CanberraVerified email at adfa.edu.au
