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Conference Paper
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Discovering Eras in Evolving Social Networks (Extended Abstract)”, in SEBD, 2010, pp. 78-85.
L. Gabrielli, Fadda, D., Rossetti, G., Nanni, M., Piccinini, L., Pedreschi, D., Giannotti, F., and Lattarulo, P., “Discovering Mobility Functional Areas: A Mobility Data Analysis Approach”, in International Workshop on Complex Networks, 2018.
V. Bacarella, Giannotti, F., Nanni, M., and Pedreschi, D., “Discovery of ads web hosts through traffic data analysis”, in DMKD, 2004, pp. 76-81.
D. Pedreschi, Ruggieri, S., and Turini, F., “Discrimination-aware data mining”, in KDD, 2008, pp. 560-568.
C. Panigutti, Perotti, A., and Pedreschi, D., “Doctor XAI: an ontology-based approach to black-box sequential data classification explanations”, in Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., “On the Effective Semantics of Nondeterministic, Nonmonotonic, Temporal Logic Databases”, in CSL, 1998, pp. 58-72.
F. Giannotti, Nanni, M., and Pedreschi, D., “Efficient Mining of Temporally Annotated Sequences”, in SDM, 2006.
P. Cintia, Pappalardo, L., and Pedreschi, D., “"Engine Matters": {A} First Large Scale Data Driven Study on Cyclists' Performance”, in 13th {IEEE} International Conference on Data Mining Workshops, {ICDM} Workshops, TX, USA, December 7-10, 2013, 2013.
F. Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., “ExAMiner: Optimized Level-wise Frequent Pattern Mining with Monotone Constraint”, in ICDM, 2003, pp. 11-18.
F. Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., “ExAnte: Anticipated Data Reduction in Constrained Pattern Mining”, in PKDD, 2003, pp. 59-70.
F. Giannotti, Manco, G., Pedreschi, D., and Turini, F., “Experiences with a Logic-based knowledge discovery Support Environment”, in 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1999.
F. Giannotti, Manco, G., Pedreschi, D., and Turini, F., “Experiences with a Logic-Based Knowledge Discovery Support Environment”, in AI*IA, 1999, pp. 202-213.
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.
R. Trasarti, Rinzivillo, S., Pinelli, F., Nanni, M., Monreale, A., Renso, C., Pedreschi, D., and Giannotti, F., “Exploring Real Mobility Data with M-Atlas”, in ECML/PKDD (3), 2010, pp. 624-627.
L. Corciulo, Giannotti, F., Pedreschi, D., and Zaniolo, C., “Expressive Power of Non-Deterministic Operators for Logic-based Languages”, in Workshop on Deductive Databases and Logic Programming, 1994, pp. 27-40.
S. Hajian, Monreale, A., Pedreschi, D., Domingo-Ferrer, J., and Giannotti, F., “Fair pattern discovery”, in Symposium on Applied Computing, {SAC} 2014, Gyeongju, Republic of Korea - March 24 - 28, 2014, 2014, pp. 113–120.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Foundations of Multidimensional Network Analysis”, in ASONAM, 2011, pp. 485-489.
L. Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., “The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis”, in International Conference on Smart Objects and Technologies for Social Good, 2018.
L. Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., “The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis”, in International Conference on Smart Objects and Technologies for Social Good, 2017.
F. Bonchi, Giannotti, F., and Pedreschi, D., “Frequent Pattern Queries for Flexible Knowledge Discovery”, in SEBD, 2004, pp. 250-261.
F. Giannotti, Pedreschi, D., and Theodoridis, Y., “Geographic privacy-aware knowledge discovery and delivery”, in EDBT, 2009, pp. 1157-1158.
F. Giannotti, Nanni, M., Pedreschi, D., Renso, C., Rinzivillo, S., and Trasarti, R., “GeoPKDD – Geographic Privacy-aware Knowledge Discovery”, in The European Future Technologies Conference (FET 2009), 2009.
R. Guidotti, Soldani, J., Neri, D., Brogi, A., and Pedreschi, D., “Helping your docker images to spread based on explainable models”, in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2018.
G. Cornacchia, Böhm, M., Mauro, G., Nanni, M., Pedreschi, D., and Pappalardo, L., “How Routing Strategies Impact Urban Emissions”, in Proceedings of the 30th International Conference on Advances in Geographic Information Systems, New York, NY, USA, 2022.
L. Pappalardo, Rossetti, G., and Pedreschi, D., “"How Well Do We Know Each Other?" Detecting Tie Strength in Multidimensional Social Networks”, in International Conference on Advances in Social Networks Analysis and Mining, {ASONAM} 2012, Istanbul, Turkey, 26-29 August 2012, 2012.

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