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M. Nanni, Trasarti, R., Renso, C., Giannotti, F., and Pedreschi, D., Advanced knowledge discovery on movement data with the GeoPKDD system, in EDBT, 2010, pp. 693-696.
M. Nanni and Trasarti, R., Querying and mining trajectories with gaps: a multi-path reconstruction approach (Extended Abstract), in SEBD, 2010, pp. 126-133.
M. Nanni, Trasarti, R., Cintia, P., Furletti, B., Renso, C., Gabrielli, L., Rinzivillo, S., and Giannotti, F., Mobility Profiling, in Data Science and Simulation in Transportation Research, IGI Global, 2014, pp. 1-29.
M. Nanni and Trasarti, R., K-BestMatch Reconstruction and Comparison of Trajectory Data, in ICDM Workshops, 2009, pp. 610-615.
M. Nanni and Trasarti, R., K-BestMatch Reconstruction and Comparison of Trajectory Data, in ICDM Workshops, 2009, pp. 610-615.
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. Nanni, Trasarti, R., Monreale, A., Grossi, V., and Pedreschi, D., Driving Profiles Computation and Monitoring for Car Insurance CRM, Journal ACM Transactions on Intelligent Systems and Technology (TIST), vol. 8, pp. 14:1–14:26, 2016.
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., \newblock{A Declarative Framework for Reasoning on Spatio-temporal Data}, 2004.
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., Spatio-Temporal Data, Spatio-Temporal Databases: Flexible Querying and Reasoning, p. 75, 2013.
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., Deductive and Inductive Reasoning on Trajectories, in SEBD, 2004, pp. 98-105.
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., Deductive and Inductive Reasoning on Spatio-Temporal Data, in INAP/WLP, 2004, pp. 98-115.
M. Natilli, Monreale, A., Guidotti, R., and Pappalardo, L., Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis, in ECML PKDD 2018 Workshops, 2018.
M. Natilli and Romano, M. Francesca, The impact of wine and food tourism in Italy: an analysis of official statistical data at province level, in First European Conference on Wine and Food Tourism, 2011.
P
C. Panigutti, Guidotti, R., Monreale, A., and Pedreschi, D., Explaining multi-label black-box classifiers for health applications, in International Workshop on Health Intelligence, 2019.
C. Panigutti, Tizzoni, M., Bajardi, P., Smoreda, Z., and Colizza, V., Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models, Royal Society open science, vol. 4, p. 160950, 2017.
L. Pappalardo, Cintia, P., Rossi, A., Massucco, E., Ferragina, P., Pedreschi, D., and Giannotti, F., A public data set of spatio-temporal match events in soccer competitions, Scientific data, vol. 6, pp. 1–15, 2019.
L. Pappalardo, Vanhoof, M., Gabrielli, L., Smoreda, Z., Pedreschi, D., and Giannotti, F., An analytical framework to nowcast well-being using mobile phone data, International Journal of Data Science and Analytics, vol. 2, pp. 75–92, 2016.
L. Pappalardo and Cintia, P., Quantifying the relation between performance and success in soccer, Advances in Complex Systems, p. 1750014, 2017.
L. Pappalardo, Simini, F., Rinzivillo, S., Pedreschi, D., Giannotti, F., and Barabasi, A. - L., Returners and explorers dichotomy in human mobility, Nat Commun, vol. 6, 2015.
L. Pappalardo and Simini, F., Data-driven generation of spatio-temporal routines in human mobility, Data Mining and Knowledge Discovery, 2017.
L. Pappalardo, Barlacchi, G., Pellungrini, R., and Simini, F., Human Mobility from theory to practice: Data, Models and Applications, in Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019., 2019.

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