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J. - F. Boulicaut, Esposito, F., Giannotti, F., and Pedreschi, D., Machine Learning: ECML 2004, 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings, Lecture Notes in Computer Science, vol. 3201. Springer, 2004.
R. Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., Market Basket Prediction using User-Centric Temporal Annotated Recurring Sequences, in 2017 IEEE International Conference on Data Mining (ICDM), 2017.
D. Pedreschi, Giannotti, F., Guidotti, R., Monreale, A., Ruggieri, S., and Turini, F., Meaningful explanations of Black Box AI decision systems, in Proceedings of the AAAI Conference on Artificial Intelligence, 2019.
D. Pedreschi, Ruggieri, S., and Turini, F., Measuring Discrimination in Socially-Sensitive Decision Records, in SDM, 2009, pp. 581-592.
G. Rossetti, Pappalardo, L., and Pedreschi, D., Measuring tie strength in multidimensional networks, in SEDB 2013, 2013.
S. Ceri, Valle, E. Della, Pedreschi, D., and Trasarti, R., Mega-modeling for Big Data Analytics, in Conceptual Modeling - 31st International Conference {ER} 2012, Florence, Italy, October 15-18, 2012. Proceedings, 2012.
A. Brogi, Mancarella, P., Pedreschi, D., and Turini, F., Meta for Modularising Logic Programming, in META, 1992, pp. 105-119.
P. Cintia, Pappalardo, L., and Pedreschi, D., Mining efficient training patterns of non-professional cyclists, in 22nd Italian Symposium on Advanced Database Systems, {SEBD} 2014, Sorrento Coast, Italy, June 16-18, 2014., 2014.
F. Giannotti, Nanni, M., Pedreschi, D., Renso, C., and Trasarti, R., Mining Mobility Behavior from Trajectory Data, in CSE (4), 2009, pp. 948-951.
F. Giannotti, Nanni, M., Pedreschi, D., and Pinelli, F., Mining sequences with temporal annotations, in SAC, 2006, pp. 593-597.
P. Bonato, Cintia, P., Fabbri, F., Fadda, D., Giannotti, F., Lopalco, P. Luigi, Mazzilli, S., Nanni, M., Pappalardo, L., Pedreschi, D., Penone, F., Rinzivillo, S., Rossetti, G., Savarese, M., and Tavoschi, L., Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown. 2020.
F. Giannotti and Pedreschi, D., Mobility, Data Mining and Privacy: A Vision of Convergence, in Mobility, Data Mining and Privacy, 2008, pp. 1-11.
F. Giannotti and Pedreschi, D., Mobility, Data Mining and Privacy - Geographic Knowledge Discovery. Springer, 2008.
F. Giannotti and Pedreschi, D., Mobility, Data Mining and Privacy - Geographic Knowledge Discovery. Springer, 2008.
F. Giannotti, Pedreschi, D., and Turini, F., Mobility, Data Mining and Privacy the Experience of the GeoPKDD Project, in PinKDD, 2008, pp. 25-32.
F. Giannotti, Nanni, M., Pedreschi, D., Pinelli, F., Renso, C., Rinzivillo, S., and Trasarti, R., Mobility data mining: discovering movement patterns from trajectory data, in Computational Transportation Science, 2010, pp. 7-10.
A. Brogi, Mancarella, P., Pedreschi, D., and Turini, F., Modular Logic Programming, ACM Trans. Program. Lang. Syst., vol. 16, pp. 1361-1398, 1994.
G. Andrienko, Andrienko, N., Giannotti, F., Monreale, A., and Pedreschi, D., Movement data anonymity through generalization, in Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS, 2009.
A. Monreale, Andrienko, G., Andrienko, N., Giannotti, F., Pedreschi, D., Rinzivillo, S., and Wrobel, S., Movement Data Anonymity through Generalization, Transactions on Data Privacy, vol. 3, pp. 91–121, 2010.

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