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L. Gabrielli, Furletti, B., Giannotti, F., Nanni, M., and Rinzivillo, S., Use of Mobile Phone Data to Estimate Visitors Mobility Flows, in Software Engineering and Formal Methods, vol. 8938, Springer International Publishing, 2015, pp. 214-226.
L. Gabrielli, Furletti, B., Giannotti, F., Nanni, M., and Rinzivillo, S., Use of mobile phone data to estimate visitors mobility flows, in Proceedings of MoKMaSD, 2014.
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.
D. Gambetta, Mauro, G., and Pappalardo, L., Mobility Constraints in Segregation Models, Scientific Reports, vol. 13, p. 12087, 2023.
A. Gargantini, Riccobene, E., and Rinzivillo, S., Using Spin to Generate Tests from ASM Specifications, in Abstract State Machines, 2003, pp. 263-277.
F. Giannotti and Latella, D., Gate Splitting in LOTOS Specifications Using Abstract Interpretation, Sci. Comput. Program., vol. 23, pp. 127-149, 1994.
F. Giannotti, Trasarti, R., Bontcheva, K., and Grossi, V., SoBigData: Social Mining & Big Data Ecosystem, in Companion of the The Web Conference 2018 on The Web Conference 2018, 2018.
F. Giannotti, Raffaetà, A., Renso, C., and Turini, F., Complex Reasoning on Geographical Data, in SEBD, 2001, pp. 331-338.
F. Giannotti, Gozzi, C., and Manco, G., Clustering Transactional Data, in SEBD, 2001, pp. 163-176.
F. Giannotti, Manco, G., and Turini, F., Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study, in PKDD, 2001, pp. 128-139.
F. Giannotti, Gozzi, C., and Manco, G., Clustering Transactional Data, in PKDD, 2002, pp. 175-187.
F. Giannotti, Invited talk: Logical Data Mining Query Languages, in KDID, 2002, p. 1.
F. Giannotti, Raffaetà, A., Renso, C., and Turini, F., Complex Reasoning on Geographical Data, in SEBD, 2001, pp. 331-338.
F. Giannotti and Manco, G., LDL-M$_{\mbox{ine}}$: Integrating Data Mining with Intelligent Query Answering, in JELIA, 2002, pp. 517-520.
F. Giannotti, Gozzi, C., and Manco, G., Characterizing Web User Accesses: A Transactional Approach to Web Log Clustering, in ITCC, 2002, p. 312.
F. Giannotti, Greco, S., Saccà, D., and Zaniolo, C., Programming with Non-Determinism in Deductive Databases, Ann. Math. Artif. Intell., vol. 19, pp. 97-125, 1997.
F. Giannotti, Naretto, F., and Bodria, F., Explainable for Trustworthy AI, in Human-Centered Artificial Intelligence - Advanced Lectures, 18th European Advanced Course on AI, ACAI 2021, Berlin, Germany, October 11-15, 2021, extended and improved lecture notes, 2021.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., Datalog++: a Basis for Active Object.Oriented Databases, in SEBD, 1997, pp. 325-340.
F. Giannotti, Nanni, M., Pedreschi, D., Pinelli, F., Renso, C., Rinzivillo, S., and Trasarti, R., Mobility data mining: discovering movement patterns from trajectory data, in Computational Transportation Science, 2010, pp. 7-10.
F. Giannotti, Nanni, M., Pedreschi, D., and Samaritani, F., WebCat: Automatic Categorization of Web Search Results, in SEBD, 2003, pp. 507-518.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., Datalog++: A Basis for Active Object-Oriented Databases, in DOOD, 1997, pp. 283-301.
F. Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases, IEEE Systems Journal, 2013.
F. Giannotti, Nanni, M., and Pedreschi, D., Efficient Mining of Temporally Annotated Sequences, in SDM, 2006.
F. Giannotti, Gabrielli, L., Pedreschi, D., and Rinzivillo, S., Understanding human mobility with big data, in Solving Large Scale Learning Tasks. Challenges and Algorithms, Springer International Publishing, 2016, pp. 208–220.
F. Giannotti, Manco, G., and Pedreschi, D., A Deductive Data Model for Representing and Querying Semistructured Data, in APPIA-GULP-PRODE, 1997, pp. 129-140.

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