| On efficiently explaining graph-based classifiers X Huang, Y Izza, A Ignatiev, J Marques-Silva arXiv preprint arXiv:2106.01350, 2021 | 64 | 2021 |
| The inadequacy of shapley values for explainability X Huang, J Marques-Silva arXiv preprint arXiv:2302.08160, 2023 | 48 | 2023 |
| Tractable explanations for d-DNNF classifiers X Huang, Y Izza, A Ignatiev, M Cooper, N Asher, J Marques-Silva Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5719-5728, 2022 | 39 | 2022 |
| On the failings of Shapley values for explainability X Huang, J Marques-Silva International Journal of Approximate Reasoning 171, 109112, 2024 | 29 | 2024 |
| On computing probabilistic abductive explanations Y Izza, X Huang, A Ignatiev, N Narodytska, M Cooper, J Marques-Silva International Journal of Approximate Reasoning 159, 108939, 2023 | 25 | 2023 |
| Feature necessity & relevancy in ML classifier explanations X Huang, MC Cooper, A Morgado, J Planes, J Marques-Silva International Conference on Tools and Algorithms for the Construction and …, 2023 | 23 | 2023 |
| Explainability Is Not a Game J Marques-Silva, X Huang Communications of the ACM 67 (7), 66-75, 2024 | 22 | 2024 |
| From robustness to explainability and back again X Huang, J Marques-Silva arXiv preprint arXiv:2306.03048, 2023 | 19 | 2023 |
| Efficient explanations for knowledge compilation languages X Huang, Y Izza, A Ignatiev, MC Cooper, N Asher, J Marques-Silva arXiv preprint arXiv:2107.01654, 2021 | 12 | 2021 |
| Solving explainability queries with quantification: The case of feature relevancy X Huang, Y Izza, J Marques-Silva Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 3996-4006, 2023 | 11 | 2023 |
| Distance-restricted explanations: theoretical underpinnings & efficient implementation Y Izza, X Huang, A Morgado, J Planes, A Ignatiev, J Marques-Silva arXiv preprint arXiv:2405.08297, 2024 | 8 | 2024 |
| On correcting SHAP scores O Letoffe, X Huang, J Marques-Silva arXiv e-prints, arXiv: 2405.00076, 2024 | 8 | 2024 |
| From decision trees to explained decision sets X Huang, J Marques-Silva ECAI 2023, 1100-1108, 2023 | 8 | 2023 |
| A refutation of shapley values for explainability X Huang, J Marques-Silva arXiv preprint arXiv:2309.03041, 2023 | 6 | 2023 |
| On deciding feature membership in explanations of SDD & related classifiers X Huang, J Marques-Silva arXiv preprint arXiv:2202.07553, 2022 | 6 | 2022 |
| From SHAP scores to feature importance scores O Letoffe, X Huang, N Asher, J Marques-Silva arXiv preprint arXiv:2405.11766, 2024 | 5 | 2024 |
| Refutation of Shapley Values for XAI--Additional Evidence X Huang, J Marques-Silva arXiv preprint arXiv:2310.00416, 2023 | 5 | 2023 |
| Bi-Kronecker functional decision diagrams: A novel canonical representation of Boolean functions X Huang, K Fang, L Fang, Q Chen, ZR Lai, L Wei Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2867-2875, 2019 | 3 | 2019 |
| Updates on the Complexity of SHAP Scores X Huang, J Marques-Silva Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 2 | 2024 |
| Towards trustable SHAP scores O Letoffe, X Huang, J Marques-Silva arXiv preprint arXiv:2405.00076, 2024 | 1 | 2024 |
Joao Marques-SilvaResearch Professor, ICREA, University of LleidaDirección de correo verificada de icrea.cat
