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P. Gravino, Caminiti, S., Sirbu, A., Tria, F., Servedio, V. D. P., and Loreto, V., Unveiling Political Opinion Structures with a Web-experiment, in Proceedings of the 1st International Conference on Complex Information Systems, 2016.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., On the Effective Semantics of Nondeterministic, Nonmonotonic, Temporal Logic Databases, in CSL, 1998, pp. 58-72.
F. Giannotti, Manco, G., and Turini, F., Towards a Logic Query Language for Data Mining, in Database Support for Data Mining Applications, 2004, pp. 76-94.
F. Giannotti, Manco, G., Nanni, M., Pedreschi, D., and Turini, F., Integration of Deduction and Induction for Mining Supermarket Sales Data, in SEBD, 1999, pp. 117-131.
F. Giannotti and Manco, G., Querying Inductive Databases via Logic-Based User-Defined Aggregates, in PKDD, 1999, pp. 125-135.
F. Giannotti, Nanni, M., and Pedreschi, D., Efficient Mining of Temporally Annotated Sequences, in SDM, 2006.
F. Giannotti, Nanni, M., Pedreschi, D., and Pinelli, F., Mining sequences with temporal annotations, in SAC, 2006, pp. 593-597.
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, Jeansoulin, R., and Theodoridis, Y., Beyond Current Technology: The Perspective of Three EC GIS Projects, in DEXA Workshop, 1999, p. 510.
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 Pedreschi, D., Declarative Semantics for Pruning Operators in Logic Programming, in LPNMR, 1990, pp. 27-37.
F. Giannotti and Manco, G., Querying inductive Databases via Logic-Based user-defined aggregates, in APPIA-GULP-PRODE, 1999, pp. 605-620.
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, 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 and Hermenegildo, M. V., A Technique for Recursive Invariance Detection and Selective Program Specification, in PLILP, 1991, pp. 323-334.
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, 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, Pedreschi, D., Saccà, D., and Zaniolo, C., Non-Determinism in Deductive Databases, in DOOD, 1991, pp. 129-146.
F. Giannotti and Manco, G., Making Knowledge Extraction and Reasoning Closer, in PAKDD, 2000, pp. 360-371.
F. Giannotti and Latella, D., Using Abstract Interpretation for Gate splitting in LOTOS Specifications, in WSA, 1992, pp. 194-204.
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, 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, 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, Nanni, M., and Pedreschi, D., Logic-Based Knowledge Discovery in Databases, in EJC, 2000, pp. 279-283.

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