| Boosting synthetic data generation with effective nonlinear causal discovery M Cinquini, F Giannotti, R Guidotti 2021 IEEE Third International Conference on Cognitive Machine Intelligence …, 2021 | 8 | 2021 |
| Calime: Causality-aware local interpretable model-agnostic explanations M Cinquini, R Guidotti arXiv preprint arXiv:2212.05256, 2022 | 7 | 2022 |
| GenFair: A Genetic Fairness-Enhancing Data Generation Framework F Mazzoni, MM Manerba, M Cinquini, R Guidotti, S Ruggieri International Conference on Discovery Science, 356-371, 2023 | 1 | 2023 |
| The Importance of Time in Causal Algorithmic Recourse I Beretta, M Cinquini World Conference on Explanaible Artificial Intelligence, 283--298, 2023 | 1 | 2023 |
| Handling missing values in local post-hoc explainability M Cinquini, F Giannotti, R Guidotti, A Mattei World Conference on Explainable Artificial Intelligence, 256-278, 2023 | 1 | 2023 |
| Differentiable Causal Discovery with Smooth Acyclic Orientations R Massidda, F Landolfi, M Cinquini, D Bacciu ICML 2023 Workshop on Differentiable Almost Everything: Differentiable …, 2023 | | 2023 |
| Constraint-Free Structure Learning with Smooth Acyclic Orientations R Massidda, F Landolfi, M Cinquini, D Bacciu arXiv preprint arXiv:2309.08406, 2023 | | 2023 |
| 2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI)| 978-1-6654-1621-4/21/$31.00© 2021 IEEE| DOI: 10.1109/COGMI52975. 2021.00043 M Abdelaziz, L Abdeljaber, T Abdelzaher, A Afshar, M Aggarwal, ... | | |
