| Explaining random forests using bipolar argumentation and Markov networks N Potyka, X Yin, F Toni Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9453-9460, 2023 | 4 | 2023 |
| Argument attribution explanations in quantitative bipolar argumentation frameworks X Yin, N Potyka, F Toni arXiv preprint arXiv:2307.13582, 2023 | 2 | 2023 |
| Towards a theory of faithfulness: Faithful explanations of differentiable classifiers over continuous data N Potyka, X Yin, F Toni arXiv preprint arXiv:2205.09620, 2022 | 2 | 2022 |
| Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report) N Potyka, X Yin, F Toni arXiv preprint arXiv:2211.11699, 2022 | 1 | 2022 |
| Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report) X Yin, P Nico, F Toni arXiv preprint arXiv:2404.14304, 2024 | | 2024 |
| Contribution Functions for Quantitative Bipolar Argumentation Graphs: A Principle-based Analysis T Kampik, N Potyka, X Yin, K Čyras, F Toni arXiv preprint arXiv:2401.08879, 2024 | | 2024 |
| On the Tradeoff Between Correctness and Completeness in Argumentative Explainable AI. N Potyka, X Yin, F Toni ArgXAI@ COMMA, 2022 | | 2022 |
Francesca ToniImperial College LondonEmail verificata su imperial.ac.uk
