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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.
D. Montesi, Renso, C., and Turini, F., Using Temporary Integrity Constraints to Optimize Databases, in FAPR, 1996, pp. 430-435.
S. Ruggieri, Using t-closeness anonymity to control for non-discrimination., Trans. Data Privacy, vol. 7, pp. 99–129, 2014.
A. Gargantini, Riccobene, E., and Rinzivillo, S., Using Spin to Generate Tests from ASM Specifications, in Abstract State Machines, 2003, pp. 263-277.
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.
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.
F. Bonchi, Giannotti, F., Mainetto, G., and Pedreschi, D., Using Data Mining Techniques in Fiscal Fraud Detection, in DaWaK, 1999, pp. 369-376.
F. Giannotti and Latella, D., Using Abstract Interpretation for Gate splitting in LOTOS Specifications, in WSA, 1992, pp. 194-204.
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.
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.
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.
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.
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.
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.
A. Brogi, Mancarella, P., Pedreschi, D., and Turini, F., Universal Quantification by Case Analysis, in ECAI, 1990, pp. 111-116.
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.
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.
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.
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.
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.

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