| A Sea of Words: An In-Depth Analysis of Anchors for Text Data G Lopardo, F Precioso, D Garreau International Conference on Artificial Intelligence and Statistics (AISTATS …, 2023 | 5 | 2023 |
| Attention Meets Post-hoc Interpretability: A Mathematical Perspective G Lopardo, F Precioso, D Garreau Proceedings of the 41st International Conference on Machine Learning, 2024 | 4 | 2024 |
| Faithful and robust local interpretability for textual predictions G Lopardo, F Precioso, D Garreau arXiv preprint arXiv:2311.01605, 2023 | 3 | 2023 |
| Understanding Post-hoc Explainers: The Case of Anchors G Lopardo, F Precioso, D Garreau arXiv preprint arXiv:2303.08806, 2023 | 3 | 2023 |
| Explainable AI for business decision-making G Lopardo Politecnico di Torino, 83, 2021 | 3 | 2021 |
| Comparing Feature Importance and Rule Extraction for Interpretability on Text Data G Lopardo, D Garreau ICPR 2-nd Workshop on Explainable and Ethical AI - 26TH International …, 2022 | 1 | 2022 |
| SMACE: A New Method for the Interpretability of Composite Decision Systems G Lopardo, D Garreau, F Precioso, G Ottosson Machine Learning and Knowledge Discovery in Databases: European Conference …, 2022 | 1 | 2022 |
| Foundations of machine learning interpretability G Lopardo Université Côte d'Azur, 2024 | | 2024 |
Damien GarreauProfessor for the Theory of Machine Learning, Julius-Maximilians-Universität Würzburg確認したメール アドレス: uni-wuerzburg.de