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Conference Paper
F. Naretto, Pellungrini, R., Nardini, F. Maria, and Giannotti, F., “Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks”, in ECML PKDD 2020 Workshops, Cham, 2020.
F. Pratesi, Monreale, A., Wang, H. Wendy, Rinzivillo, S., Pedreschi, D., Andrienko, G., and Andrienko, N., “Privacy-Aware Distributed Mobility Data Analytics”, in SEBD, Roccella Jonica, 2013.
S. Rinzivillo, Gabrielli, L., Nanni, M., Pappalardo, L., Pedreschi, D., and Giannotti, F., “The purpose of motion: Learning activities from Individual Mobility Networks”, in International Conference on Data Science and Advanced Analytics, {DSAA} 2014, Shanghai, China, October 30 - November 1, 2014, 2014.
R. Ong, Pinelli, F., Trasarti, R., Nanni, M., Renso, C., Rinzivillo, S., and Giannotti, F., “Traffic Jams Detection Using Flock Mining”, in ECML/PKDD (3), 2011, pp. 650-653.
L. Gabrielli, Furletti, B., Giannotti, F., Nanni, M., and Rinzivillo, S., “Use of mobile phone data to estimate visitors mobility flows”, in Proceedings of MoKMaSD, 2014.
A. Gargantini, Riccobene, E., and Rinzivillo, S., “Using Spin to Generate Tests from ASM Specifications”, in Abstract State Machines, 2003, pp. 263-277.
G. Andrienko, Andrienko, N., Rinzivillo, S., Nanni, M., and Pedreschi, D., “A Visual Analytics Toolkit for Cluster-Based Classification of Mobility Data”, in SSTD, 2009, pp. 432-435.
G. Andrienko, Andrienko, N., Rinzivillo, S., Nanni, M., Pedreschi, D., and Giannotti, F., “Visual Cluster Analysis of Large Collections of Trajectories”, in IEEE Visual Analytics Science and Tecnology (VAST 2009), 2009.
S. Rinzivillo, de Siqueira, F. L., Gabrielli, L., Renso, C., and Bogorny, V., “Where Have You Been Today? Annotating Trajectories with DayTag”, in International Conference on Spatial and Spatio-temporal Databases (SSTD), 2013, pp. 467-471.
S. Rinzivillo and Ruggieri, S., “Who/Where Are My New Customers?”, in ISMIS Industrial Session, 2011, pp. 307-317.
Conference Proceedings
B. Furletti, Gabrielli, L., Renso, C., and Rinzivillo, S., “Analysis of GSM Calls Data for Understanding User Mobility Behavior”, IEEE Big Data. Santa Clara, California, 2013.
D. Pennacchioli, Coscia, M., Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Explaining the PRoduct Range Effect in Purchase Data”, IEEE Big Data. 2013.
G. Andrienko, Andrienko, N., Hurter, C., Rinzivillo, S., and Wrobel, S., “From Movement Tracks through Events to Places: Extracting and Characterizing Significant Places from Mobility Data”, IEEE Conference on Visual Analytics Science and Technology. 2011.
G. Andrienko, Andrienko, N., Giannotti, F., Monreale, A., Pedreschi, D., and Rinzivillo, S., “A Generalisation-based Approach to Anonymising Movement Data”, 13th AGILE conference on Geographic Information Science. 2010.
D. Fadda, Natilli, M., and Rinzivillo, S., “GET-Viz: a library for automatic generation of visual dashboard for geographical time series”, 8th International Conference on Computational Social Science (IC2S2). Chicago, USA, 2022.
M. Coscia, Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Optimal Spatial Resolution for the Analysis of Human Mobility”, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Instanbul, Turkey, 2012.
Journal Article
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.
D. Janssens, Giannotti, F., Nanni, M., Pedreschi, D., and Rinzivillo, S., “Data Science for Simulating the Era of Electric Vehicles”, KI - Künstliche Intelligenz, 2012.
S. Rinzivillo, Mainardi, S., Pezzoni, F., Coscia, M., Giannotti, F., and Pedreschi, D., “Discovering the Geographical Borders of Human Mobility”, KI - Künstliche Intelligenz, 2012.
M. Nanni, Andrienko, G., Barabasi, A. - L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Ferragina, P., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertész, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. Megías, Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., van den Hoven, J., and Vespignani, A., “Give more data, awareness and control to individual citizens, and they will help COVID-19 containment”, 2021.
S. Rinzivillo and Turini, F., “Knowledge discovery from spatial transactions”, Journal of Intelligent Information Systems, vol. 28, pp. 1-22, 2007.
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. 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.
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.

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