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R. Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., “Next Basket Prediction using Recurring Sequential Patterns”, arXiv preprint arXiv:1702.07158, 2017.
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., “\newblock{A Declarative Framework for Reasoning on Spatio-temporal Data}”, 2004.
R. Trasarti, Bonchi, F., and Goethals, B., “A new technique for sequential pattern mining under regular expressions”, in SEBD, 2009, pp. 325-332.
M. Fontana, Naretto, F., and Monreale, A., “A new approach for cross-silo federated learning and its privacy risks”, in 18th International Conference on Privacy, Security and Trust, PST 2021, Auckland, New Zealand, December 13-15, 2021, 2021.
M. Fontana, Naretto, F., and Monreale, A., “A new approach for cross-silo federated learning and its privacy risks”, in 2021 18th International Conference on Privacy, Security and Trust (PST), 2021.
R. Guidotti, Nanni, M., Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Never drive alone: Boosting carpooling with network analysis”, Information Systems, vol. 64, pp. 237–257, 2017.
P. Mancarella, Pedreschi, D., and Ruggieri, S., “Negation as Failure through Abduction: Reasoning about Termination”, in Computational Logic: Logic Programming and Beyond, 2002, pp. 240-272.
G. Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., “NDlib: Studying Network Diffusion Dynamics”, in IEEE International Conference on Data Science and Advanced Analytics, DSA, Tokyo, 2017.
G. Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., “NDlib: a python library to model and analyze diffusion processes over complex networks”, International Journal of Data Science and Analytics, pp. 1–19, 2017.
G. Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., “NDlib: a python library to model and analyze diffusion processes over complex networks”, International Journal of Data Science and Analytics, vol. 5, pp. 61–79, 2018.
M
R. Trasarti, Guidotti, R., Monreale, A., and Giannotti, F., “MyWay: Location prediction via mobility profiling”, Information Systems, vol. 64, pp. 350–367, 2017.
A. Romei and Ruggieri, S., “A multidisciplinary survey on discrimination analysis”, The Knowledge Engineering Review, vol. 29, pp. 582–638, 2014.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Multidimensional networks: foundations of structural analysis”, World Wide Web, vol. Volume 15 / 2012, 2012.
M. Magnani, Monreale, A., Rossetti, G., and Giannotti, F., “On multidimensional network measures”, in SEDB 2013, 2013.
M. Nanni, Trasarti, R., Furletti, B., Gabrielli, L., Van Der Mede, P., De Bruijn, J., de Romph, E., and Bruil, G., “MP4-A Project: Mobility Planning For Africa”, in In D4D Challenge @ 3rd Conf. on the Analysis of Mobile Phone datasets (NetMob 2013), Cambridge, USA, 2013.
A. Monreale, Andrienko, G., Andrienko, N., Giannotti, F., Pedreschi, D., Rinzivillo, S., and Wrobel, S., “Movement Data Anonymity through Generalization”, Transactions on Data Privacy, vol. 3, pp. 91–121, 2010.
G. Andrienko, Andrienko, N., Giannotti, F., Monreale, A., and Pedreschi, D., “Movement data anonymity through generalization”, in Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS, 2009.
M. Nanni, Trasarti, R., and Giannotti, F., “Movement Behaviour Recognition for Water Activities”, in Personal Analytics and Privacy. An Individual and Collective Perspective - First International Workshop, {PAP} 2017, Held in Conjunction with {ECML} {PKDD} 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers, 2017.
M. Fontana, Naretto, F., Monreale, A., and Giannotti, F., “Monitoring Fairness in HOLDA”, in HHAI 2022: Augmenting Human Intellect - Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence, Amsterdam, The Netherlands, 13-17 June 2022, 2022.
A. Brogi, Mancarella, P., Pedreschi, D., and Turini, F., “Modular Logic Programming”, ACM Trans. Program. Lang. Syst., vol. 16, pp. 1361-1398, 1994.
G. Cornacchia, Rossetti, G., and Pappalardo, L., “Modelling Human Mobility considering Spatial, Temporal and Social Dimensions”, arXiv preprint arXiv:2007.02371, 2020.
R. Pellungrini, Pappalardo, L., Simini, F., and Monreale, A., “Modeling Adversarial Behavior Against Mobility Data Privacy”, IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Intelligent Transportation Systems, pp. 1 - 14, 2020.
A. Pugnana and Ruggieri, S., “A Model-Agnostic Heuristics for Selective Classification”, in Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, 2023, Washington, DC, USA, February 7-14, 2023, 2023.
R. Wagner, de Macêdo, J. A. F., Raffaetà, A., Renso, C., Roncato, A., and Trasarti, R., “Mob-Warehouse: A semantic approach for mobility analysis with a Trajectory Data Ware- house”, in SecoGIS 2013 - International Workshop on Semantic Aspects of GIS, Joint to ER conference 2013, Hong Kong, 2013.
R. Guidotti, “Mobility Ranking - Human Mobility Analysis Using Ranking Measures”, 2013.

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