| Metrics for multi-class classification: an overview M Grandini, E Bagli, G Visani arXiv preprint arXiv:2008.05756, 2020 | 1175 | 2020 |
| Statistical stability indices for LIME: Obtaining reliable explanations for machine learning models G Visani, E Bagli, F Chesani, A Poluzzi, D Capuzzo Journal of the Operational Research Society 73 (1), 91-101, 2022 | 148 | 2022 |
| OptiLIME: Optimized LIME explanations for diagnostic computer algorithms G Visani, E Bagli, F Chesani CIKM 2020 Workshops 2699, 2020 | 77 | 2020 |
| Metrics for multi-class classification: an overview. 1–17 M Grandini, E Bagli, G Visani | 19 | 2008 |
| PSD2 Explainable AI Model for Credit Scoring N Llop Torrent, G Visani, E Bagli arXiv e-prints, arXiv: 2011.10367, 2020 | 11* | 2020 |
| OptiLIME: Optimized LIME explanations for diagnostic computer algorithms. arXiv 2020 G Visani, E Bagli, F Chesani arXiv preprint arXiv:2006.05714, 2023 | 7 | 2023 |
| Enabling Synthetic Data adoption in regulated domains G Visani, G Graffi, M Alfero, E Bagli, F Chesani, D Capuzzo 2022 IEEE 9th International Conference on Data Science and Advanced …, 2022 | 7 | 2022 |
| Molecular monitoring of acute myeloid leukemia associated with inv (16): threshold of CBFβ/MYH11 transcript copy number above which relapse occurs and below which continuous … G Martinelli, S Buonamici, G Visani, M Malagola, PP Piccaluga, A Isidori, ... Leukemia 17 (3), 650-651, 2003 | 7 | 2003 |
| Explanations of Machine Learning predictions: a mandatory step for its application to Operational Processes G Visani, F Chesani, E Bagli, D Capuzzo, A Poluzzi arXiv preprint arXiv:2012.15103, 2020 | 5 | 2020 |
| Meaningful insights: explainability techniques for black-box models on tabular data G Visani alma, 2023 | 1 | 2023 |
| Parallel approaches for a decision tree-based explainability algorithm D Loreti, G Visani Future Generation Computer Systems, 2024 | | 2024 |
| Design, Implementation and Evaluation of Parallel Solutions for a Nested Explainability Algorithm G Visani | | |
