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F. Giannotti, Nanni, M., Pinelli, F., and Pedreschi, D., Trajectory pattern mining, in KDD, 2007, pp. 330-339.
R. Barbuti, Mancarella, P., Pedreschi, D., and Turini, F., A Transformational Approach to Negation in Logic Programming, J. Log. Program., vol. 8, pp. 201-228, 1990.
A. Rauber, Trasarti, R., and Giannotti, F., Transparency in Algorithmic Decision Making, ERCIM News, 2019.
M. Nanni, Trasarti, R., Furletti, B., Gabrielli, L., Van Der Mede, P., De Bruijn, J., de Romph, E., and Bruil, G., Transportation Planning Based on {GSM} Traces: {A} Case Study on Ivory Coast, in Citizen in Sensor Networks - Second International Workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, Revised Selected Papers, 2013.
A. Albano, Giannotti, F., Orsini, R., and Pedreschi, D., The Type System of Galileo, in Data Types and Persistence (Appin), Informal Proceedings, 1985, pp. 175-195.
A. Albano, Giannotti, F., Orsini, R., and Pedreschi, D., The Type System of Galileo, in Data Types and Persistence (Appin), 1985, pp. 101-119.
B. Bertolino, Meo, L., Pedreschi, D., and Turini, F., The Type System of LML. 1992, pp. 313-332.
S. Ruggieri and Mesnard, F., Typing Linear Constraints for Moding CLP() Programs, in SAS, 2008, pp. 128-143.
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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.
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, 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.
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.

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