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F. Bonchi, Giannotti, F., Mainetto, G., and Pedreschi, D., “Una Metodologia Basata sulla Classificazione per la Pianificazione degli Accertamenti nel Rilevamento di Frodi”, in SEBD, 1999, pp. 69-84.
M. Coscia, Rossetti, G., Giannotti, F., and Pedreschi, D., “Uncovering Hierarchical and Overlapping Communities with a Local-First Approach”, {TKDD}, vol. 9, p. 6, 2014.
V. Lorenzoni, Triulzi, I., Martinucci, I., Toncelli, L., Natilli, M., Barale, R., and Turchetti, G., “Understanding eating choices among university students: A study using data from cafeteria cashiers’ transactions”, Health Policy, vol. 125, pp. 665–673, 2021.
F. Giannotti, Gabrielli, L., Pedreschi, D., and Rinzivillo, S., “Understanding human mobility with big data”, in Solving Large Scale Learning Tasks. Challenges and Algorithms, Springer International Publishing, 2016, pp. 208–220.
L. Pappalardo, Rinzivillo, S., Qu, Z., Pedreschi, D., and Giannotti, F., “{Understanding the patterns of car travel}”, The European Physical Journal Special Topics, vol. 215, pp. 61–73, 2013.
A. Brogi, Mancarella, P., Pedreschi, D., and Turini, F., “Universal Quantification by Case Analysis”, in ECAI, 1990, pp. 111-116.
R. Guidotti, Monreale, A., Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Unveiling mobility complexity through complex network analysis”, Social Network Analysis and Mining, vol. 6, p. 59, 2016.
P. Gravino, Caminiti, S., Sirbu, A., Tria, F., Servedio, V. D. P., and Loreto, V., “Unveiling Political Opinion Structures with a Web-experiment”, in Proceedings of the 1st International Conference on Complex Information Systems, 2016.
F. Giannotti, Nanni, M., Pedreschi, D., Pinelli, F., Renso, C., Rinzivillo, S., and Trasarti, R., “Unveiling the complexity of human mobility by querying and mining massive trajectory data”, VLDB J., vol. 20, pp. 695-719, 2011.
B. Furletti, Gabrielli, L., Giannotti, F., Milli, L., Nanni, M., and Pedreschi, D., “Use of mobile phone data to estimate mobility flows. Measuring urban population and inter-city mobility using big data in an integrated approach”, in 47th SIS Scientific Meeting of the Italian Statistica Society, Cagliari , 2014.
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.
L. Gabrielli, Furletti, B., Giannotti, F., Nanni, M., and Rinzivillo, S., “Use of Mobile Phone Data to Estimate Visitors Mobility Flows”, in Software Engineering and Formal Methods, vol. 8938, Springer International Publishing, 2015, pp. 214-226.
F. Giannotti and Latella, D., “Using Abstract Interpretation for Gate splitting in LOTOS Specifications”, in WSA, 1992, pp. 194-204.
F. Bonchi, Giannotti, F., Mainetto, G., and Pedreschi, D., “Using Data Mining Techniques in Fiscal Fraud Detection”, in DaWaK, 1999, pp. 369-376.
D. Aquilino, Asirelli, P., Formuso, A., Renso, C., and Turini, F., “Using MedLan to Integrate Geographical Data”, J. Log. Program., vol. 43, pp. 3-14, 2000.
D. Aquilino, Asirelli, P., Formuso, A., Renso, C., and Turini, F., “Using Medlan to Integrate Geographical Data”, Journal of Logic Programming, pp. 3–14, 2000.
A. Gargantini, Riccobene, E., and Rinzivillo, S., “Using Spin to Generate Tests from ASM Specifications”, in Abstract State Machines, 2003, pp. 263-277.
S. Ruggieri, “Using t-closeness anonymity to control for non-discrimination.”, Trans. Data Privacy, vol. 7, pp. 99–129, 2014.
D. Montesi, Renso, C., and Turini, F., “Using Temporary Integrity Constraints to Optimize Databases”, in FAPR, 1996, pp. 430-435.
G. Rossetti, Milli, L., Citraro, S., and Morini, V., “UTLDR: an agent-based framework for modeling infectious diseases and public interventions”, arXiv preprint arXiv:2011.05606, 2020.