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Author Title Type [ Year(Desc)]
R. Guidotti, Monreale, A., and Pedreschi, D., The AI black box Explanation Problem, ERCIM NEWS, pp. 12–13, 2019.
A. Sirbu, Pedreschi, D., Giannotti, F., and Kertész, J., Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model, PloS one, vol. 14, p. e0213246, 2019.
D. Morelli, Rossi, A., Cairo, M., and Clifton, D. A., Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations, Sensors, vol. 19, p. 3163, 2019.
S. Bruestle, Pappalardo, L., and Guidotti, R., Defining Geographic Markets from Probabilistic Clusters: A Machine Learning Algorithm Applied to Supermarket Scanner Data, Available at SSRN 3452058, 2019.
C. Panigutti, Guidotti, R., Monreale, A., and Pedreschi, D., Explaining multi-label black-box classifiers for health applications, in International Workshop on Health Intelligence, 2019.
L. Pappalardo, Barlacchi, G., Pellungrini, R., and Simini, F., Human Mobility from theory to practice: Data, Models and Applications, in Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019., 2019.
R. Guidotti, Monreale, A., and Cariaggi, L., Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers, in Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2019.
D. Pedreschi, Giannotti, F., Guidotti, R., Monreale, A., Ruggieri, S., and Turini, F., Meaningful explanations of Black Box AI decision systems, in Proceedings of the AAAI Conference on Artificial Intelligence, 2019.
L. Pappalardo, Cintia, P., Rossi, A., Massucco, E., Ferragina, P., Pedreschi, D., and Giannotti, F., A public data set of spatio-temporal match events in soccer competitions, Scientific data, vol. 6, pp. 1–15, 2019.
A. Sirbu, Giannotti, F., Pedreschi, D., and Kertész, J., Public opinion and Algorithmic bias, ERCIM News, 2019.
M. Malvaldi, Sarò Franco - Vita di Franco Turini, executive chef dell’Università di Pisa. Pisa, Italy: Pisa University Press, 2019, p. 20.
R. Guidotti and Ruggieri, S., On The Stability of Interpretable Models, in 2019 International Joint Conference on Neural Networks (IJCNN), 2019.
R. Guidotti, Monreale, A., Ruggieri, S., Turini, F., Giannotti, F., and Pedreschi, D., A survey of methods for explaining black box models, ACM computing surveys (CSUR), vol. 51, p. 93, 2019.
A. Rauber, Trasarti, R., and Giannotti, F., Transparency in Algorithmic Decision Making, ERCIM News, 2019.
D. Boncoraglio, Deri, F., Distefano, F., Fadda, D., Filippi, G., Forte, G., Licari, F., Natilli, M., Pedreschi, D., and Rinzivillo, S., A Visual Analytics Platform to Measure Performance on University Entrance Tests (Discussion Paper), 2019.