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B. Guidi, Michienzi, A., and Rossetti, G., “Dynamic community analysis in decentralized online social networks”, in European Conference on Parallel Processing, 2017.
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. Baglioni, Furletti, B., and Turini, F., “DrC4.5: Improving C4.5 by means of Prior Knowledge”, in ACM Symposium on Applied Computing, Santa Fe, New Mexico, USA, 2005.
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.
G. Calogiuri, Johansen, P. Foss, Rossi, A., and Thurston, M., “Do “girls just wanna have fun”? Participation trends and motivational profiles of women in Norway’s ultimate mass participation ski event”, Frontiers in Psychology, vol. 10, p. 2548, 2019.
D. Pedreschi, Ruggieri, S., and Turini, F., “Discrimination-aware data mining”, in KDD, 2008, pp. 560-568.
A. Romei, Ruggieri, S., and Turini, F., “Discrimination discovery in scientific project evaluation: A case study”, Expert Systems with Applications, vol. 40, pp. 6064–6079, 2013.
S. Hajian, Domingo-Ferrer, J., Monreale, A., Pedreschi, D., and Giannotti, F., “Discrimination- and privacy-aware patterns”, Data Min. Knowl. Discov., vol. 29, pp. 1733–1782, 2015.
D. Pedreschi, Ruggieri, S., and Turini, F., “The discovery of discrimination”, in Discrimination and privacy in the information society, Springer, 2013, pp. 91–108.
V. Bacarella, Giannotti, F., Nanni, M., and Pedreschi, D., “Discovery of ads web hosts through traffic data analysis”, in DMKD, 2004, pp. 76-81.
R. Trasarti, Olteanu-Raimond, A. - M., Nanni, M., Couronné, T., Furletti, B., Giannotti, F., Smoreda, Z., and Ziemlicki, C., “Discovering urban and country dynamics from mobile phone data with spatial correlation patterns”, Telecommunications Policy, p. -, 2014.
S. Rinzivillo, Mainardi, S., Pezzoni, F., Coscia, M., Giannotti, F., and Pedreschi, D., “Discovering the Geographical Borders of Human Mobility”, KI - Künstliche Intelligenz, 2012.
R. Guidotti, Gabrielli, L., Monreale, A., Pedreschi, D., and Giannotti, F., “Discovering temporal regularities in retail customers’ shopping behavior”, EPJ Data Science, vol. 7, p. 6, 2018.
D. Bacciu, Bellandi, A., Furletti, B., Grossi, V., and Romei, A., “Discovering Strategic Behaviour in Multi- Agent Scenarios by Ontology-Driven Mining”, in Advances in Robotics, Automation and Control, 2008.
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.
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.
B. Furletti, Trasarti, R., Cintia, P., and Gabrielli, L., “Discovering and Understanding City Events with Big Data: The Case of Rome”, Information, vol. 8, p. 74, 2017.
G. Tomei and Natilli, M., Dinamiche di impoverimento. Meccanismi, traiettorie ed effetti in un contesto locale. Carocci Editore, 2011.
J. Kim, Sirbu, A., Giannotti, F., and Gabrielli, L., “Digital Footprints of International Migration on Twitter”, in International Symposium on Intelligent Data Analysis, 2020.
L. Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., “Diffusive Phenomena in Dynamic Networks: a data-driven study”, in International Conference on Complex Networks CompleNet, Boston March 5-8 2018, 2018.
C. R. Daniel Ornellana, “Developing a Spatial Knowledge Representation for Pedestrian Interactions”, 2009.
B. Furletti, Gabrielli, L., Trasarti, R., Smoreda, Z., Vanhoof, M., and Ziemlicki, C., “Detecting and understanding big events in big cities”, in NetMob, Boston, 2015.
M. Coscia, Rossetti, G., Giannotti, F., and Pedreschi, D., “DEMON: a local-first discovery method for overlapping communities”, in The 18th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining, {KDD} '12, Beijing, China, August 12-16, 2012, 2012.
M. Coscia, Rossetti, G., Giannotti, F., and Pedreschi, D., “DEMON: a Local-First Discovery Method for Overlapping Communities”, in KDD 2012, 2012.
S. Bruestle, Pappalardo, L., and Guidotti, R., “Defining Geographic Markets from Probabilistic Clusters: A Machine Learning Algorithm Applied to Supermarket Scanner Data”, Available at SSRN 3452058, 2019.

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