| Argumentative XAI: A Survey K Čyras, A Rago, E Albini, P Baroni, F Toni Survey Track at IJCAI '21: International Joint Conference on Artificial …, 2021 | 152 | 2021 |
| Counterfactual Shapley Additive Explanations E Albini, J Long, D Dervovic, D Magazzeni FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022 | 58 | 2022 |
| Relation-Based Counterfactual Explanations for Bayesian Network Classifiers. E Albini, A Rago, P Baroni, F Toni IJCAI '20: Proceedings of the Twenty-Ninth International Joint Conference on …, 2020 | 46 | 2020 |
| Argflow: A toolkit for deep argumentative explanations for neural networks A Dejl, C He, P Mangal, H Mohsin, B Surdu, E Voinea, E Albini, ... Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 25 | 2021 |
| Deep argumentative explanations E Albini, P Lertvittayakumjorn, A Rago, F Toni arXiv preprint arXiv:2012.05766, 2020 | 20 | 2020 |
| Influence-driven explanations for Bayesian network classifiers E Albini, A Rago, P Baroni, F Toni PRICAI 2021: Trends in Artificial Intelligence: 18th Pacific Rim …, 2021 | 13 | 2021 |
| PageRank as an Argumentation Semantics E Albini, P Baroni, A Rago, F Toni Computational Models of Argument: Proceedings of COMMA 2020 326, 55, 2020 | 9 | 2020 |
| Explaining classifiers’ outputs with causal models and argumentation A Rago, F Russo, E Albini, F Toni, P Baroni IfCoLog Journal of Logics and their Applications 10 (3), 2023 | 5 | 2023 |
| Forging Argumentative Explanations from Causal Models. A Rago, F Russo, E Albini, P Baroni, F Toni AI³@ AI* IA, 2021 | 5 | 2021 |
| Interpreting and explaining pagerank through argumentation semantics E Albini, P Baroni, A Rago, F Toni Intelligenza Artificiale 15 (1), 17-34, 2021 | 4 | 2021 |
| On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations E Albini, S Sharma, S Mishra, D Dervovic, D Magazzeni AIES '23: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023 | 3 | 2023 |
| Descriptive accuracy in explanations: The case of probabilistic classifiers E Albini, A Rago, P Baroni, F Toni International Conference on Scalable Uncertainty Management, 279-294, 2022 | 3 | 2022 |
| Influence-driven explanations for bayesian network classifiers A Rago, E Albini, P Baroni, F Toni arXiv preprint arXiv:2012.05773, 2020 | 2 | 2020 |
| REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values S Sharma, S Dutta, E Albini, F Lecue, D Magazzeni, M Veloso Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 443-453, 2023 | 1 | 2023 |
| Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers E Albini, A Rago, P Baroni, F Toni Frontiers in Artificial Intelligence 6, 1099407, 2023 | 1 | 2023 |
| Method and system for computing alignment between explanation and model logic E Albini, F Lecue, S Mishra, N Marchesotti, D Magazzeni, M Veloso US Patent App. 18/104,654, 2024 | | 2024 |
| System, method, and computer program for computing strategies for model inferences E Albini, F Lecue, D Dervovic, S Mishra, D Magazzeni US Patent App. 18/087,062, 2024 | | 2024 |
| System and method for generating grouped shapley values D Magazzeni, J Long, N Marchesotti, E Albini, S Raychaudhuri, M Veloso, ... US Patent App. 18/142,309, 2023 | | 2023 |
| Influence-Driven Explanations for Bayesian Network Classifiers (Extended Abstract)⇤ E Albini, A Rago, P Baroni, F Toni | | |
Francesca ToniImperial College LondonDirección de correo verificada de imperial.ac.uk
