Publications

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2019
A. Rossi, Perri, E., Pappalardo, L., Cintia, P., and F Iaia, M., “Relationship between External and Internal Workloads in Elite Soccer Players: Comparison between Rate of Perceived Exertion and Training Load”, Applied Sciences, vol. 9, p. 5174, 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 and Ruggieri, S., “On The Stability of Interpretable Models”, in 2019 International Joint Conference on Neural Networks (IJCNN), 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.
2020
D. Pedreschi and Miliou, I., “Artificial Intelligence (AI): new developments and innovations applied to e-commerce”, European Parliament's committee on the Internal Market and Consumer Protection, 2020.
B. Dong, Wang, H., Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., “Authenticated Outlier Mining for Outsourced Databases”, IEEE Transactions on Dependable and Secure Computing, vol. 17, pp. 222 - 235, 2020.
J. Kim, S\^\irbu, A., Giannotti, F., and Gabrielli, L., “Digital Footprints of International Migration on Twitter”, in International Symposium on Intelligent Data Analysis, 2020.
C. Panigutti, Perotti, A., and Pedreschi, D., “Doctor XAI: an ontology-based approach to black-box sequential data classification explanations”, in Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020.
N. Forgó, Hänold, S., van den Hoven, J., Krügel, T., Lishchuk, I., Mahieu, R., Monreale, A., Pedreschi, D., Pratesi, F., and van Putten, D., “An ethico-legal framework for social data science”, 2020.
A. Sirbu, Andrienko, G., Andrienko, N., Boldrini, C., Conti, M., Giannotti, F., Guidotti, R., Bertoli, S., Kim, J., Muntean, C. Ioana, and others, “Human migration: the big data perspective”, International Journal of Data Science and Analytics, pp. 1–20, 2020.
S. Citraro and Rossetti, G., “Identifying and exploiting homogeneous communities in labeled networks”, Applied Network Science, vol. 5, pp. 1–20, 2020.
P. Cintia, Fadda, D., Giannotti, F., Pappalardo, L., Rossetti, G., Pedreschi, D., Rinzivillo, S., Bonato, P., Fabbri, F., Penone, F., Savarese, M., Checchi, D., Chiaromonte, F., Vineis, P., Guzzetta, G., Riccardo, F., Marziano, V., Poletti, P., Trentini, F., Bella, A., Andrianou, X., Del Manso, M., Fabiani, M., Bellino, S., Boros, S., Urdiales, A. Mateo, Vescio, M. Fenicia, Brusaferro, S., Rezza, G., Pezzotti, P., Ajelli, M., and Merler, S., “The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy”, arXiv preprint arXiv:2006.03141, 2020.
G. Andrienko, Andrienko, N., Boldrini, C., Caldarelli, G., Cintia, P., Cresci, S., Facchini, A., Giannotti, F., Gionis, A., Guidotti, R., and others, “(So) Big Data and the transformation of the city”, International Journal of Data Science and Analytics, 2020.

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