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C
M. Coscia, Giannotti, F., and Pedreschi, D., “A classification for community discovery methods in complex networks”, Statistical Analysis and Data Mining, vol. 4, pp. 512-546, 2011.
M. Coscia, Giannotti, F., and Pensa, R. G., “Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography”, in ASONAM, 2009, pp. 279-283.
M. Coscia, Pennacchioli, D., and Giannotti, F., “Product assortment and customer mobility”, EPJ Data Science, vol. 4, pp. 1–18, 2015.
M. Coscia, Rossetti, G., Giannotti, F., and Pedreschi, D., “Uncovering Hierarchical and Overlapping Communities with a Local-First Approach”, {TKDD}, vol. 9, p. 6, 2014.
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., Pennacchioli, D., Ceccarelli, D., and Giannotti, F., “You Know Because I Know”: a Multidimensional Network Approach to Human Resources Problem”, in ASONAM 2013, 2013.
M. Coscia, Giannotti, F., and Pensa, R. G., “Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography”, in ASONAM, 2009, pp. 279-283.
M. Coscia, Rossetti, G., Giannotti, F., and Pedreschi, D., “DEMON: a Local-First Discovery Method for Overlapping Communities”, in KDD 2012, 2012.
V. Cozza, Messina, A., Montesi, D., Arietta, L., and Magnani, M., “Spatio temporal keyword-queries in Social Networs”, 2013.
R. Prieto Curiel, Pappalardo, L., Gabrielli, L., and Bishop, S. Richard, “Gravity and scaling laws of city to city migration”, PLOS ONE, vol. 13, pp. 1-19, 2018.
D
C. R. Daniel Ornellana, “Developing a Spatial Knowledge Representation for Pedestrian Interactions”, 2009.
B. Dong, Wang, H., Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., “Authenticated Outlier Mining for Outsourced Databases”, IEEE Transactions on Dependable and Secure Computing, vol. 17, pp. 222 - 235, 2020.
B. Dong, Wang, H. Wendy, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., “Authenticated Outlier Mining for Outsourced Databases”, IEEE Transactions on Dependable and Secure Computing, 2017.
E
P. Eirinakis, Ruggieri, S., Subramani, K., and Wojciechowski, P., “On quantified linear implications”, Annals of Mathematics and Artificial Intelligence, vol. 71, pp. 301–325, 2014.
F
D. Fadda, Natilli, M., and Rinzivillo, S., “GET-Viz: a library for automatic generation of visual dashboard for geographical time series”, 8th International Conference on Computational Social Science (IC2S2). Chicago, USA, 2022.
M. Fayzullin, Nanni, M., Pedreschi, D., and Subrahmanian, V. S., “Foundations of distributed interaction systems”, Ann. Math. Artif. Intell., vol. 28, pp. 127-168, 2000.
M. Ferretti, Barlacchi, G., Pappalardo, L., Lucchini, L., and Lepri, B., “Weak nodes detection in urban transport systems: Planning for resilience in Singapore”, in 2018 IEEE 5th international conference on data science and advanced analytics (DSAA), 2018.
R. Fileto, Krger, M., Pelekis, N., Theodoridis, Y., and Renso, C., “Baquara: A Holistic Ontological Framework for Movement Analysis with Linked Data”, in Entity Relationship Conference - ER 2013, Hong Kong, 2013.
F. Fiore and Giannotti, F., “An abstract interpreter for the specification language LOTOS”, in FORTE, 1994, pp. 309-323.
M. Fiore, Shafiq, Z., Smoreda, Z., Stanica, R., and Trasarti, R., “Special Issue on Mobile Traffic Analytics”, Computer Communications, vol. 95, pp. 1–2, 2016.
M. Fontana, Naretto, F., and Monreale, A., “A new approach for cross-silo federated learning and its privacy risks”, in 18th International Conference on Privacy, Security and Trust, PST 2021, Auckland, New Zealand, December 13-15, 2021, 2021.
N. Forgó, Hänold, S., van den Hoven, J., Krügel, T., Lishchuk, I., Mahieu, R., Monreale, A., Pedreschi, D., Pratesi, F., and van Putten, D., “An ethico-legal framework for social data science”, 2020.
B. Furletti, “Ontology Driven Knowledge Discovery”, IMT - Lucca, Lucca - Italy, 2009.
B. Furletti, Gabrielli, L., Renso, C., and Rinzivillo, S., “Analysis of GSM Calls Data for Understanding User Mobility Behavior”, IEEE Big Data. Santa Clara, California, 2013.
B. Furletti, Bellandi, A., Romei, A., and Grossi, V., “PUSHING CONSTRAINTS IN ASSOCIATION RULE MINING: AN ONTOLOGY-BASED APPROACH ”, in IADIS International Conference WWW/Internet 2007, 2007.

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