| Interpretability in healthcare: A comparative study of local machine learning interpretability techniques R ElShawi, Y Sherif, M Al‐Mallah, S Sakr Computational Intelligence 37 (4), 1633-1650, 2021 | 327 | 2021 |
| ILIME: Local and Global Interpretable Model-Agnostic Explainer of Black-Box Decision R ElShawi, Y Sherif, M Al-Mallah, S Sakr European Conference on Advances in Databases and Information Systems, 53-68, 2019 | 64 | 2019 |
| It is okay to not be okay: Overcoming emotional bias in affective image captioning by contrastive data collection Y Mohamed, FF Khan, K Haydarov, M Elhoseiny Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 58 | 2022 |
| Artelingo: A million emotion annotations of wikiart with emphasis on diversity over language and culture Y Mohamed, M Abdelfattah, S Alhuwaider, F Li, X Zhang, K Church, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 31 | 2022 |
| No culture left behind: ArtELingo-28, a benchmark of WikiArt with captions in 28 languages Y Mohamed, R Li, IS Ahmad, K Haydarov, P Torr, K Church, M Elhoseiny Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 17 | 2024 |
| Towards Automated Concept-based Decision TreeExplanations for CNNs. R El Shawi, Y Sherif, S Sakr EDBT, 379-384, 2021 | 17 | 2021 |
| Modelling the impact of robotics on infectious spread among healthcare workers R Vicente, Y Mohamed, VM Eguíluz, E Zemmar, P Bayer, JS Neimat, ... Frontiers in Robotics and AI 8, 652685, 2021 | 12 | 2021 |
| Continual learning on a diet: Learning from sparsely labeled streams under constrained computation W Zhang, Y Mohamed, B Ghanem, PHS Torr, A Bibi, M Elhoseiny arXiv preprint arXiv:2404.12766, 2024 | 9 | 2024 |
| Did I do that? Blame as a means to identify controlled effects in reinforcement learning O Corcoll, Y Mohamed, R Vicente arXiv preprint arXiv:2106.00266, 2021 | 2 | 2021 |
| Multicultural emotional reasoning in vision language models YS MOHAMED | 1 | 2023 |
| Did I do that? Blame as a means to identify controlled effects in reinforcement learning OC Andreu, YSM Mohamed, R Vicente | | |
