| A survey of methods for explaining black box models R Guidotti, A Monreale, S Ruggieri, F Turini, F Giannotti, D Pedreschi ACM computing surveys (CSUR) 51 (5), 1-42, 2018 | 3946 | 2018 |
| Factual and counterfactual explanations for black box decision making R Guidotti, A Monreale, F Giannotti, D Pedreschi, S Ruggieri, F Turini IEEE Intelligent Systems 34 (6), 14-23, 2019 | 650* | 2019 |
| Meaningful Explanations of Black Box AI Decision Systems D Pedreschi, F Giannotti, R Guidotti, A Monreale, S Ruggieri, F Turini | 242* | 2019 |
| Counterfactual explanations and how to find them: literature review and benchmarking R Guidotti Data Mining and Knowledge Discovery, 1-55, 2022 | 143 | 2022 |
| 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, 1-60, 2023 | 128 | 2023 |
| Myway: Location prediction via mobility profiling R Trasarti, R Guidotti, A Monreale, F Giannotti Information Systems 64, 350-367, 2017 | 97 | 2017 |
| Glocalx-from local to global explanations of black box ai models M Setzu, R Guidotti, A Monreale, F Turini, D Pedreschi, F Giannotti Artificial Intelligence 294, 103457, 2021 | 95 | 2021 |
| Human migration: The big data perspective A Sīrbu, G Andrienko, N Andrienko, C Boldrini, M Conti, F Giannotti, ... International Journal of Data Science and Analytics 11, 341-360, 2021 | 94 | 2021 |
| Black box explanation by learning image exemplars in the latent feature space R Guidotti, A Monreale, S Matwin, D Pedreschi Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 75 | 2020 |
| Give more data, awareness and control to individual citizens, and they will help COVID-19 containment M Nanni, G Andrienko, AL Barabįsi, C Boldrini, F Bonchi, C Cattuto, ... Ethics and Information Technology 23 (1), 1-6, 2021 | 66 | 2021 |
| Evaluating local explanation methods on ground truth R Guidotti Artificial Intelligence 291, 103428, 2021 | 65 | 2021 |
| Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence S Ali, T Abuhmed, S El-Sappagh, K Muhammad, JM Alonso-Moral, ... Information Fusion 99, 101805, 2023 | 58 | 2023 |
| Never drive alone: Boosting carpooling with network analysis R Guidotti, M Nanni, S Rinzivillo, D Pedreschi, F Giannotti Information Systems 64, 237-257, 2017 | 53 | 2017 |
| The GRAAL of carpooling: GReen And sociAL optimization from crowd-sourced data M Berlingerio, B Ghaddar, R Guidotti, A Pascale, A Sassi Transportation Research Part C: Emerging Technologies 80, 20-36, 2017 | 45 | 2017 |
| Explaining any time series classifier R Guidotti, A Monreale, F Spinnato, D Pedreschi, F Giannotti 2020 IEEE Second International Conference on Cognitive Machine Intelligence …, 2020 | 38 | 2020 |
| On the stability of interpretable models R Guidotti, S Ruggieri 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 38* | 2019 |
| Personalized market basket prediction with temporal annotated recurring sequences R Guidotti, G Rossetti, L Pappalardo, F Giannotti, D Pedreschi IEEE Transactions on Knowledge and Data Engineering, 2018 | 33 | 2018 |
| Personalized market basket prediction with temporal annotated recurring sequences R Guidotti, G Rossetti, L Pappalardo, F Giannotti, D Pedreschi IEEE Transactions on Knowledge and Data Engineering, 2018 | 33 | 2018 |
| TOSCA: two-steps clustering algorithm for personal locations detection R Guidotti, R Trasarti, M Nanni Proceedings of the 23rd SIGSPATIAL international conference on advances in …, 2015 | 33 | 2015 |
| Explainable AI for time series classification: a review, taxonomy and research directions A Theissler, F Spinnato, U Schlegel, R Guidotti IEEE Access, 2022 | 31 | 2022 |
Dino PedreschiProfessor of Computer Science, University of PisaVerified email at di.unipi.it
