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 | 5268 | 2018 |
Discrimination-aware data mining D Pedreshi, S Ruggieri, F Turini Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 922 | 2008 |
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 | 918 | 2020 |
Efficient C4. 5 [classification algorithm] S Ruggieri IEEE transactions on knowledge and data engineering 14 (2), 438-444, 2002 | 622 | 2002 |
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 | 589 | 2018 |
A multidisciplinary survey on discrimination analysis A Romei, S Ruggieri The Knowledge Engineering Review 29 (5), 582-638, 2014 | 382 | 2014 |
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 | 333 | 2019 |
A standard reference model for intelligent multimedia presentation systems M Bordegoni, G Faconti, S Feiner, MT Maybury, T Rist, S Ruggieri, ... Computer standards & interfaces 18 (6-7), 477-496, 1997 | 263 | 1997 |
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 | 261 | 2011 |
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 | 246 | 2019 |
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 | 244 | 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 | 239 | 2010 |
Predicting and explaining employee turnover intention M Lazzari, JM Alvarez, S Ruggieri International Journal of Data Science and Analytics 14 (3), 279-292, 2022 | 173 | 2022 |
Methods and tools for causal discovery and causal inference AR Nogueira, A Pugnana, S Ruggieri, D Pedreschi, J Gama Wiley interdisciplinary reviews: data mining and knowledge discovery 12 (2 …, 2022 | 160 | 2022 |
Preprocessing and mining web log data for web personalization M Baglioni, U Ferrara, A Romei, S Ruggieri, F Turini AI* IA 2003: Advances in Artificial Intelligence: 8th Congress of the …, 2003 | 125 | 2003 |
Web log data warehousing and mining for intelligent web caching F Bonchi, F Giannotti, C Gozzi, G Manco, M Nanni, D Pedreschi, C Renso, ... Data & Knowledge Engineering 39 (2), 165-189, 2001 | 120 | 2001 |
DCUBE: Discrimination discovery in databases S Ruggieri, D Pedreschi, F Turini Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 90 | 2010 |
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 | 79 | 2009 |
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment M Nanni, G Andrienko, AL Barabási, C Boldrini, F Bonchi, C Cattuto, ... Ethics and Information Technology 23 (1), 1-6, 2021 | 76 | 2021 |
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 | 72 | 2012 |