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[ Author(Asc)] Title Type Year
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F
B. Furletti, Gabrielli, L., Giannotti, F., Milli, L., Nanni, M., and Pedreschi, D., Use of mobile phone data to estimate mobility flows. Measuring urban population and inter-city mobility using big data in an integrated approach, in 47th SIS Scientific Meeting of the Italian Statistica Society, Cagliari , 2014.
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, Trasarti, R., Gabrielli, L., Nanni, M., and Pedreschi, D., Big data analytics for smart mobility: a case study, in EDBT/ICDT 2014 Workshops - Mining Urban Data (MUD), Athens, Greece, 2014.
B. Furletti, Gabrielli, L., Renso, C., and Rinzivillo, S., Pisa Tourism fluxes Observatory: deriving mobility indicators from GSM call habits, in NetMob Conference 2013, 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.
B. Furletti, Bellandi, A., Grossi, V., and Romei, A., Ontology-Driven Association Rule Extraction: A Case Study, in International Workshop on Contexts and Ontologies: Representation and Reasoning, Roskilde, Denmark, 2007.
B. Furletti, Bellandi, A., Grossi, V., and Romei, A., Ontological Support for Association Rule Mining, in IASTED International Conference on Artificial Intelligence and Applications (AIA), Innsbruck, Austria , 2008.
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.
M. Fontana, Naretto, F., and Monreale, A., A new approach for cross-silo federated learning and its privacy risks, in 2021 18th International Conference on Privacy, Security and Trust (PST), 2021.
M. Fontana, Naretto, F., Monreale, A., and Giannotti, F., Monitoring Fairness in HOLDA, in HHAI 2022: Augmenting Human Intellect - Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence, Amsterdam, The Netherlands, 13-17 June 2022, 2022.
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.
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.
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. 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.
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. 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. 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.
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.
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.

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