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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, 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, 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.
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.
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., Furletti, B., Gabrielli, L., Van Der Mede, P., De Bruijn, J., de Romph, E., and Bruil, G., MP4-A Project: Mobility Planning For Africa, in In D4D Challenge @ 3rd Conf. on the Analysis of Mobile Phone datasets (NetMob 2013), Cambridge, USA, 2013.
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., 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. Nanni, Raffaetà, A., Renso, C., and Turini, F., Spatio-Temporal Data, Spatio-Temporal Databases: Flexible Querying and Reasoning, p. 75, 2013.
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, Kuijpers, B., Körner, C., May, M., and Pedreschi, D., Spatiotemporal Data Mining, in Mobility, Data Mining and Privacy, 2008, pp. 267-296.
M. Nanni and Pedreschi, D., Time-focused clustering of trajectories of moving objects, J. Intell. Inf. Syst., vol. 27, pp. 267-289, 2006.
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P. Mukala, Cerone, A., and Turini, F., An exploration of learning processes as process maps in FLOSS repositories. 2015.
P. Mukala, Cerone, A., and Turini, F., Mining learning processes from FLOSS mailing archives, in Conference on e-Business, e-Services and e-Society, 2015.
P. Mukala, Cerone, A., and Turini, F., Process mining event logs from FLOSS data: state of the art and perspectives, in International Conference on Software Engineering and Formal Methods, 2014.
P. Mukala, Cerone, A., and Turini, F., Ontolifloss: Ontology for learning processes in FLOSS communities, in International Conference on Software Engineering and Formal Methods, 2014.
P. Mukala, Cerone, A., and Turini, F., An abstract state machine (ASM) representation of learning process in FLOSS communities, in International Conference on Software Engineering and Formal Methods, 2014.
P. Mukala, Cerone, A., and Turini, F., An empirical verification of a-priori learning models on mailing archives in the context of online learning activities of participants in free\libre open source software (FLOSS) communities, Education and Information Technologies, vol. 22, pp. 3207–3229, 2017.
V. Morini, Pollacci, L., and Rossetti, G., Toward a Standard Approach for Echo Chamber Detection: Reddit Case Study, Applied Sciences, vol. 11, p. 5390, 2021.
D. Morelli, Rossi, A., Cairo, M., and Clifton, D. A., Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations, Sensors, vol. 19, p. 3163, 2019.
F. Morandin, Amato, G., Gini, R., Metta, C., Parton, M., and Pascutto, G. C., SAI a Sensible Artificial Intelligence that plays Go. 2019.

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