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Conference Paper
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.
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.
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.
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.
M. Berlingerio, Coscia, M., and Giannotti, F., Mining the Information Propagation in a Network, in SEBD, 2009, pp. 333-340.
M. Berlingerio, Coscia, M., and Giannotti, F., Mining the Information Propagation in a Network, in SEBD, 2009, pp. 333-340.
M. Berlingerio, Coscia, M., and Giannotti, F., Mining the Temporal Dimension of the Information Propagation, in IDA, 2009, pp. 237-248.
M. Berlingerio, Coscia, M., and Giannotti, F., Mining the Temporal Dimension of the Information Propagation, in IDA, 2009, pp. 237-248.
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.
M. Berlingerio, Bicer, V., Botea, A., Braghin, S., Lopes, N., Guidotti, R., and Pratesi, F., Mobility Mining for Journey Planning in Rome, in Machine Learning and Knowledge Discovery in Databases, 2015.
R. Wagner, de Macêdo, J. A. F., Raffaetà, A., Renso, C., Roncato, A., and Trasarti, R., Mob-Warehouse: A semantic approach for mobility analysis with a Trajectory Data Ware- house, in SecoGIS 2013 - International Workshop on Semantic Aspects of GIS, Joint to ER conference 2013, Hong Kong, 2013.
A. Pugnana and Ruggieri, S., A Model-Agnostic Heuristics for Selective Classification, in Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, 2023, Washington, DC, USA, February 7-14, 2023, 2023.

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