| On explaining decision trees Y Izza, A Ignatiev, J Marques-Silva arXiv preprint arXiv:2010.11034, 2020 | 100 | 2020 |
| On explaining random forests with SAT Y Izza, J Marques-Silva arXiv preprint arXiv:2105.10278, 2021 | 72 | 2021 |
| On tackling explanation redundancy in decision trees Y Izza, A Ignatiev, J Marques-Silva Journal of Artificial Intelligence Research 75, 261-321, 2022 | 63 | 2022 |
| On efficiently explaining graph-based classifiers X Huang, Y Izza, A Ignatiev, J Marques-Silva arXiv preprint arXiv:2106.01350, 2021 | 55 | 2021 |
| Using MaxSAT for efficient explanations of tree ensembles A Ignatiev, Y Izza, PJ Stuckey, J Marques-Silva Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3776-3785, 2022 | 50 | 2022 |
| 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 | 34 | 2022 |
| Boosting MCSes Enumeration. É Grégoire, Y Izza, JM Lagniez IJCAI, 1309-1315, 2018 | 33 | 2018 |
| Efficient explanations with relevant sets Y Izza, A Ignatiev, N Narodytska, MC Cooper, J Marques-Silva arXiv preprint arXiv:2106.00546, 2021 | 22 | 2021 |
| 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 | 18 | 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 | 13 | 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 | 10 | 2023 |
| Provably precise, succinct and efficient explanations for decision trees Y Izza, A Ignatiev, N Narodytska, MC Cooper, J Marques-Silva arXiv preprint arXiv:2205.09569, 2022 | 9 | 2022 |
| On the enumeration of association rules: A decomposition-based approach Y Izza, S Jabbour, B Raddaoui, A Boudane Twenty-Ninth International Joint Conference on Artificial Intelligence …, 2021 | 9 | 2021 |
| On computing relevant features for explaining NBCs Y Izza, J Marques-Silva arXiv preprint arXiv:2207.04748, 2022 | 7 | 2022 |
| On explaining decision trees (2020) Y Izza, A Ignatiev, J Marques-Silva URL https://arxiv. org/abs, 2010 | 6 | 2010 |
| On explaining decision trees. CoRR abs/2010.11034 (2020) Y Izza, A Ignatiev, J Marques-Silva arXiv preprint arXiv:2010.11034, 2010 | 6 | 2010 |
| Axiomatic aggregations of abductive explanations G Biradar, Y Izza, E Lobo, V Viswanathan, Y Zick Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11096 …, 2024 | 5 | 2024 |
| On the extraction of one maximal information subset that does not conflict with multiple contexts É Grégoire, Y Izza, JM Lagniez Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 5 | 2016 |
| Provably precise, succinct and efficient explanations for decision trees. CoRR abs/2205.09569 (2022) Y Izza, A Ignatiev, N Narodytska, MC Cooper, J Marques-Silva arXiv preprint arXiv:2205.09569, 0 | 5 | |
| Delivering inflated explanations Y Izza, A Ignatiev, PJ Stuckey, J Marques-Silva Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12744 …, 2024 | 4 | 2024 |