| 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 | 188 | 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 | 35 | 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 | 23 | 2022 |
| Towards Automated Concept-based Decision TreeExplanations for CNNs. R El Shawi, Y Sherif, S Sakr EDBT, 379-384, 2021 | 12 | 2021 |
| 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, KW Church, ... arXiv preprint arXiv:2211.10780, 2022 | 11 | 2022 |
| 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 | 5 | 2021 |
| 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 | 1 | 2021 |
