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C
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.
M. Coscia, Rinzivillo, S., Giannotti, F., and Pedreschi, D., “Spatial and Temporal Evaluation of Network-based Analysis of Human Mobility”, Social Network Analysis and Mining, vol. to appear, 2013.
M. Coscia, Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Optimal Spatial Resolution for the Analysis of Human Mobility”, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Instanbul, Turkey, 2012.
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, 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, 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, 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.
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.
A. Failla, Citraro, S., and Rossetti, G., “Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions”, Applied Network Science, vol. 8, pp. 1–19, 2023.
A. Failla, Citraro, S., and Rossetti, G., “Attributed stream-hypernetwork analysis: homophilic behaviors in pairwise and group political discussions on reddit”, in International Conference on Complex Networks and Their Applications, 2022.
A. Failla, Mazzoni, F., and Citraro, S., “Attribute-aware Community Events in Feature-rich Dynamic Networks”, in Complex Networks and Their Applications XI: Proceedings of The Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022—Book of Abstracts, 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.
A. Fedele, Guidotti, R., and Pedreschi, D., “Explaining Siamese Networks in Few-Shot Learning for Audio Data”, in Discovery Science - 25th International Conference, DS 2022, Montpellier, France, October 10-12, 2022, Proceedings, 2022.
A. Fedele, “Explain and Interpret Few-Shot Learning”, in Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), Lisbon, Portugal, July 26-28, 2023, 2023.
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.
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.

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