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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.
F. Giannotti and Manco, G., Making Knowledge Extraction and Reasoning Closer, in PAKDD, 2000, pp. 360-371.
A. Botea, Braghin, S., Lopes, N., Guidotti, R., and Pratesi, F., Managing travels with PETRA: The Rome use case, in 2015 31st IEEE International Conference on Data Engineering Workshops (ICDEW), 2015.
V. M. de Lira, Rinzivillo, S., Times, V. C., and Renso, C., {MAPMOLTY:} {A} Web Tool for Discovering Place Loyalty Based on Mobile Crowdsource Data, in Web Engineering, 14th International Conference, {ICWE} 2014, Toulouse, France, July 1-4, 2014. Proceedings, 2014, pp. 528–531.
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.
A. S. Furtado, Fileto, R., and Renso, C., M-Attract: Assessing Places Attractiveness by using Moving Objects Trajectories Data, in GEOINFO 2012 Brazilian Conference on Geographical Information Systems, 2012.
H. Hosni, Masserotti, M. V., and Renso, C., Maximum Entropy Reasoning for GIS, 2006.
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.
C. Renso, Mechanisms for Semantic Integration of Deductive Databases. 1998.
C. Renso and Ruggieri, S., A Mediator Approach for Representing Knowledge, Intelligent Multimedia Presentation Systems. Human Computer Interaction Letters, 1 (1): 32-38, April 1998., 1998.
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.
M. Berlingerio, Bonchi, F., Giannotti, F., and Turini, F., Mining Clinical Data with a Temporal Dimension: A Case Study, in BIBM, 2007, pp. 429-436.
M. Berlingerio, Bonchi, F., Curcio, M., Giannotti, F., and Turini, F., Mining Clinical, Immunological, and Genetic Data of Solid Organ Transplantation, in Biomedical Data and Applications, 2009, pp. 211-236.
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.
M. Berlingerio, Bonchi, F., Bringmann, B., and Gionis, A., Mining Graph Evolution Rules, in ECML/PKDD 2009, Bled, Slovenia, 2009, pp. 115-130.
M. Berlingerio, Bonchi, F., Chelazzi, S., Curcio, M., Giannotti, F., and Scatena, F., Mining HLA Patterns Explaining Liver Diseases, in CBMS, 2006, pp. 702-707.
B. Furletti and Turini, F., Mining Influence Rules out of Ontologies, in International Conference on Software and Data Technologies (ICSOFT), Siviglia, Spagna, 2011.
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.
F. Giannotti, Nanni, M., Pedreschi, D., Renso, C., and Trasarti, R., Mining Mobility Behavior from Trajectory Data, in CSE (4), 2009, pp. 948-951.
R. Trasarti, Pinelli, F., Nanni, M., and Giannotti, F., Mining mobility user profiles for car pooling, in KDD, 2011, pp. 1190-1198.
F. Giannotti, Nanni, M., Pedreschi, D., and Pinelli, F., Mining sequences with temporal annotations, in SAC, 2006, pp. 593-597.

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