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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, Matteucci, A., Pedreschi, D., and Turini, F., “Symbolic Evaluation with Structural Recursive Symbolic Constants”, Sci. Comput. Program., vol. 9, pp. 161-177, 1987.
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 and Manco, G., “Querying inductive Databases via Logic-Based user-defined aggregates”, in APPIA-GULP-PRODE, 1999, pp. 605-620.
F. Giannotti and Pedreschi, D., “Declarative Semantics for Pruning Operators in Logic Programming”, in LPNMR, 1990, pp. 27-37.
F. Giannotti, Manco, G., Pedreschi, D., and Turini, F., “Experiences with a Logic-Based Knowledge Discovery Support Environment”, in AI*IA, 1999, pp. 202-213.
F. Giannotti, Manco, G., Pedreschi, D., and Turini, F., “Experiences with a Logic-based knowledge discovery Support Environment”, in 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1999.
F. Giannotti and Hermenegildo, M. V., “A Technique for Recursive Invariance Detection and Selective Program Specification”, in PLILP, 1991, pp. 323-334.
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, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, “Privacy-preserving data mining from outsourced databases.”, in the 3rd International Conference on Computers, Privacy, and Data Protection: An element of choice , 2011.
F. Giannotti and Manco, G., “Making Knowledge Extraction and Reasoning Closer”, in PAKDD, 2000, pp. 360-371.
F. Giannotti, Pedreschi, D., Saccà, D., and Zaniolo, C., “Non-Determinism in Deductive Databases”, in DOOD, 1991, pp. 129-146.
F. Giannotti, Mazzoni, A., Puntoni, S., and Renso, C., “Synthetic generation of cellular network positioning data”, in GIS, 2005, pp. 12-20.
F. Giannotti and Manco, G., “Declarative Knowledge Extraction with Interactive User-Defined Aggregates”, in FQAS, 2000, pp. 435-444.
F. Giannotti and Latella, D., “Using Abstract Interpretation for Gate splitting in LOTOS Specifications”, in WSA, 1992, pp. 194-204.
F. Giannotti, Nanni, M., and Pedreschi, D., “Logic-Based Knowledge Discovery in Databases”, in EJC, 2000, pp. 279-283.
F. Giannotti, Nanni, M., Pedreschi, D., Renso, C., Rinzivillo, S., and Trasarti, R., “GeoPKDD – Geographic Privacy-aware Knowledge Discovery”, in The European Future Technologies Conference (FET 2009), 2009.
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 and Latella, D., “Gate Splitting in LOTOS Specifications Using Abstract Interpretation”, in TAPSOFT, 1993, pp. 437-452.
F. Giannotti, Pedreschi, D., and Zaniolo, C., “Semantics and Expressive Power of Nondeterministic Constructs in Deductive Databases”, J. Comput. Syst. Sci., vol. 62, pp. 15-42, 2001.
F. Giannotti, Nanni, M., Pedreschi, D., Renso, C., and Trasarti, R., “Mining Mobility Behavior from Trajectory Data”, in CSE (4), 2009, pp. 948-951.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., “Nondeterministic, Nonmonotonic Logic Databases”, IEEE Trans. Knowl. Data Eng., vol. 13, pp. 813-823, 2001.
F. Giannotti and Latella, D., “Gate Splitting in LOTOS Specifications Using Abstract Interpretation”, Sci. Comput. Program., vol. 23, pp. 127-149, 1994.
F. Giannotti, Raffaetà, A., Renso, C., and Turini, F., “Complex Reasoning on Geographical Data”, in SEBD, 2001, pp. 331-338.
F. Giannotti, Nanni, M., and Pedreschi, D., “Efficient Mining of Temporally Annotated Sequences”, in SDM, 2006.

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