| 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 | 1499 | 2018 |
| Discrimination-aware data mining D Pedreshi, S Ruggieri, F Turini Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 554 | 2008 |
| Measuring discrimination in socially-sensitive decision records D Pedreschi, S Ruggieri, F Turini Proceedings of the 2009 SIAM international conference on data mining, 581-592, 2009 | 187 | 2009 |
| Data mining for discrimination discovery S Ruggieri, D Pedreschi, F Turini ACM Transactions on Knowledge Discovery from Data (TKDD) 4 (2), 1-40, 2010 | 183 | 2010 |
| k-NN as an implementation of situation testing for discrimination discovery and prevention BT Luong, S Ruggieri, F Turini Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 156 | 2011 |
| Local rule-based explanations of black box decision systems R Guidotti, A Monreale, S Ruggieri, D Pedreschi, F Turini, F Giannotti arXiv preprint arXiv:1805.10820, 2018 | 144 | 2018 |
| Preprocessing and mining web log data for web personalization M Baglioni, U Ferrara, A Romei, S Ruggieri, F Turini Congress of the Italian Association for Artificial Intelligence, 237-249, 2003 | 119 | 2003 |
| Modular logic programming A Brogi, P Mancarella, D Pedreschi, F Turini ACM Transactions on Programming Languages and Systems (TOPLAS) 16 (4), 1361-1398, 1994 | 119 | 1994 |
| A transformational approach to negation in logic programming R Barbuti, P Mancarella, D Pedreschi, F Turini The Journal of Logic Programming 8 (3), 201-228, 1990 | 103 | 1990 |
| DCUBE: Discrimination discovery in databases S Ruggieri, D Pedreschi, F Turini Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 81 | 2010 |
| Composition operators for logic theories A Brogi, P Mancarella, D Pedreschi, F Turini Computational Logic, 117-134, 1990 | 69 | 1990 |
| Bias in data‐driven artificial intelligence systems—An introductory survey E Ntoutsi, P Fafalios, U Gadiraju, V Iosifidis, W Nejdl, ME Vidal, S Ruggieri, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (3 …, 2020 | 66 | 2020 |
| Integrating induction and deduction for finding evidence of discrimination D Pedreschi, S Ruggieri, F Turini Proceedings of the 12th International Conference on Artificial Intelligence …, 2009 | 61 | 2009 |
| A study of top-k measures for discrimination discovery D Pedreschi, S Ruggieri, F Turini Proceedings of the 27th Annual ACM Symposium on Applied Computing, 126-131, 2012 | 58 | 2012 |
| 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 | 56 | 2019 |
| Meaningful explanations of black box AI decision systems D Pedreschi, F Giannotti, R Guidotti, A Monreale, S Ruggieri, F Turini Proceedings of the AAAI conference on artificial intelligence 33 (01), 9780-9784, 2019 | 53 | 2019 |
| KDDML: a middleware language and system for knowledge discovery in databases A Romei, S Ruggieri, F Turini Data & Knowledge Engineering 57 (2), 179-220, 2006 | 52 | 2006 |
| Mining clinical data with a temporal dimension: a case study M Berlingerio, F Bonchi, F Giannotti, F Turini 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2007 | 45 | 2007 |
| Coordinating interaction patterns A Bracciali, A Brogi, F Turini Proceedings of the 2001 ACM symposium on Applied computing, 159-165, 2001 | 43 | 2001 |
| Meta-Logics and Logic Programming KR Apt, F Turini | 42 | 1995 |
