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M. Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., “Blocking Anonymity Threats Raised by Frequent Itemset Mining”, in ICDM, 2005, pp. 561-564.
R. Guidotti, Monreale, A., Matwin, S., and Pedreschi, D., “Black Box Explanation by Learning Image Exemplars in the Latent Feature Space”, in Machine Learning and Knowledge Discovery in Databases, Cham, 2020.
S. Bergamaschi, Carlini, E., Ceci, M., Furletti, B., Giannotti, F., Malerba, D., Mezzanzanica, M., Monreale, A., Pasi, G., Pedreschi, D., Perego, R., and Ruggieri, S., “Big Data Research in Italy: A Perspective”, Engineering, vol. 2, p. 163, 2016.
B. Furletti, Fadda, D., Piccini, L., Nanni, M., and Lattarulo, P., “Big Data and Public Administration: a case study for Tuscany Airports”, in SEBD - Italian Symposium on Advanced Database Systems , Ugento, Lecce (Italy), 2016.
A. Balliu, Olivetti, D., Babaoglu, O., Marzolla, M., and Sirbu, A., “A Big Data Analyzer for Large Trace Logs”, Computing, 2015.
B. Furletti, Trasarti, R., Gabrielli, L., Nanni, M., and Pedreschi, D., “Big data analytics for smart mobility: a case study”, in EDBT/ICDT 2014 Workshops - Mining Urban Data (MUD), Athens, Greece, 2014.
A. Balliu, Olivetti, D., Babaoglu, O., Marzolla, M., and Sirbu, A., “BiDAl: Big Data Analyzer for Cluster Traces”, in Informatika (BigSys workshop), 2014.
E. Ntoutsi, Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M. - E., Ruggieri, S., Turini, F., Papadopoulos, S., Krasanakis, E., and others, “Bias in data-driven artificial intelligence systems—An introductory survey”, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 10, p. e1356, 2020.
F. Giannotti, Jeansoulin, R., and Theodoridis, Y., “Beyond Current Technology: The Perspective of Three EC GIS Projects”, in DEXA Workshop, 1999, p. 510.
F. Bodria, Giannotti, F., Guidotti, R., Naretto, F., Pedreschi, D., and Rinzivillo, S., “Benchmarking and Survey of Explanation Methods for Black Box Models”, CoRR, vol. abs/2102.13076, 2021.
R. Guidotti, Coscia, M., Pedreschi, D., and Pennacchioli, D., “Behavioral Entropy and Profitability in Retail”, in IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), Paris, 2015.
R. Fileto, Krger, M., Pelekis, N., Theodoridis, Y., and Renso, C., “Baquara: A Holistic Ontological Framework for Movement Analysis with Linked Data”, in Entity Relationship Conference - ER 2013, Hong Kong, 2013.
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M. Becker, Caminiti, S., Fiorella, D., Francis, L., Gravino, P., Haklay, M. Muki, Hotho, A., Loreto, V., Mueller, J., Ricchiuti, F., Servedio, V. D. P., Sirbu, A., and Tria, F., “Awareness and learning in participatory noise sensing.”, PLoS One, vol. 8, p. e81638, 2013.
I. Barbosa, Casanova, M. A., Renso, C., and de Macêdo, J. A. F., “Average Speed Estimation For Road Networks Based On GPS Raw Trajectories”, in ICEIS Conference, 2013.
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.
B. Dong, Wang, H. Wendy, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., “Authenticated Outlier Mining for Outsourced Databases”, IEEE Transactions on Dependable and Secure Computing, 2017.
R. Guidotti, Rossetti, G., and Pedreschi, D., “Audio Ergo Sum”, in Federation of International Conferences on Software Technologies: Applications and Foundations, 2016.
R.Liu, Wang, H. Wendy, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., “AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems.”, in Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2012 , 2012.
A. Pugnana and Ruggieri, S., “AUC-based Selective Classification”, in International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain, 2023.
A. Failla, Citraro, S., and Rossetti, G., “Attributed stream-hypernetwork analysis: homophilic behaviors in pairwise and group political discussions on reddit”, in International Conference on Complex Networks and Their Applications, 2022.
A. Failla, Citraro, S., and Rossetti, G., “Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions”, Applied Network Science, vol. 8, pp. 1–19, 2023.
A. Failla, Mazzoni, F., and Citraro, S., “Attribute-aware Community Events in Feature-rich Dynamic Networks”, in Complex Networks and Their Applications XI: Proceedings of The Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022—Book of Abstracts, 2022.
C. Panigutti, Tizzoni, M., Bajardi, P., Smoreda, Z., and Colizza, V., “Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models”, Royal Society open science, vol. 4, p. 160950, 2017.
R. Guidotti and Ruggieri, S., “Assessing the Stability of Interpretable Models”, arXiv preprint arXiv:1810.09352, 2018.
A. S. Furtado, Fileto, R., and Renso, C., “Assessing the Attractiveness of Places with Movement Data ”, Journal of Information and Data Management, vol. 4, 2013.

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