| Benchmarking and survey of explanation methods for black box models F Bodria, F Giannotti, R Guidotti, F Naretto, D Pedreschi, S Rinzivillo Data Mining and Knowledge Discovery 37 (5), 1719-1778, 2023 | 177 | 2023 |
| Explainability methods for natural language processing: Applications to sentiment analysis (discussion paper) F Bodria, A Panisson, A Perotti, S Piaggesi In Proceedings of Italian Symposium on Advanced Database Systems 2646, 100-107, 2020 | 28 | 2020 |
| Explaining Black Box with Visual Exploration of Latent Space. F Bodria, S Rinzivillo, D Fadda, R Guidotti, F Giannotti, D Pedreschi EuroVis (Short Papers), 85-89, 2022 | 6 | 2022 |
| Interpretable latent space to enable counterfactual explanations F Bodria, R Guidotti, F Giannotti, D Pedreschi International Conference on Discovery Science, 525-540, 2022 | 3 | 2022 |
| Explainable for Trustworthy AI F Giannotti, F Naretto, F Bodria Human-Centered Artificial Intelligence: Advanced Lectures 13500, 175, 2023 | 2 | 2023 |
| Explainable for Trustworthy AI F Giannotti, F Naretto, F Bodria ECCAI Advanced Course on Artificial Intelligence, 175-195, 2021 | 2 | 2021 |
| Transparent Latent Space Counterfactual Explanations for Tabular Data F Bodria, R Guidotti, F Giannotti, D Pedreschi 2022 IEEE 9th International Conference on Data Science and Advanced …, 2022 | 1 | 2022 |
| Benchmark Analysis of Black Box Local Explanation Methods. F Naretto, F Bodria, F Giannotti, D Pedreschi XAI. it@ AI* IA, 73-87, 2022 | 1 | 2022 |
| Understanding and Exploiting the Latent Space to improve Machine Learning models eXplainability F Bodria Scuola Normale Superiore, 2023 | | 2023 |
Fosca Giannottiprofessor at Scuola Normale Superiore di PisaVerified email at sns.it
