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F. Giannotti and Manco, G., Querying Inductive Databases via Logic-Based User-Defined Aggregates, in PKDD, 1999, pp. 125-135.
F. Giannotti and Manco, G., Querying inductive Databases via Logic-Based user-defined aggregates, in APPIA-GULP-PRODE, 1999, pp. 605-620.
G. Manco, Baglioni, M., Giannotti, F., Kuijpers, B., Raffaetà, A., and Renso, C., Querying and Reasoning for Spatiotemporal Data Mining, in Mobility, Data Mining and Privacy, 2008, pp. 335-374.
G. Manco, Baglioni, M., Giannotti, F., Kuijpers, B., Raffaetà, A., and Renso, C., Querying and Reasoning for Spatio-Temporal Data Mining, Mobility, Privacy, and Geography: a Knowledge Discovery vision, 2008.
M. Nanni and Trasarti, R., Querying and mining trajectories with gaps: a multi-path reconstruction approach (Extended Abstract), in SEBD, 2010, pp. 126-133.
R. Trasarti, Giannotti, F., Nanni, M., Pedreschi, D., and Renso, C., A Query Language for Mobility Data Mining, IJDWM, vol. 7, pp. 24-45, 2011.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., Query Answering in Nondeterministic, Nonmonotonic Logic Databases, in FQAS, 1998, pp. 175-187.
L. Pappalardo and Cintia, P., Quantifying the relation between performance and success in soccer, Advances in Complex Systems, p. 1750014, 2017.
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.
L. Milli, Monreale, A., Rossetti, G., Giannotti, F., Pedreschi, D., and Sebastiani, F., Quantification Trees, in 2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013, 2013, pp. 528–536.
L. Milli, Monreale, A., Rossetti, G., Pedreschi, D., Giannotti, F., and Sebastiani, F., Quantification in Social Networks, in International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), Paris, France, 2015.
A. Raffaetà, Renso, C., and Turini, F., Qualitative Spatial Reasoning in a Logical Framework, in AI*IA, 2003, pp. 78-90.
A. Raffaetà, Renso, C., and Turini, F., Qualitative Reasoning in a Spatio-Temporal Language, in SEBD, 2002, pp. 105-118.
P
F. Bonchi and Giannotti, F., Pushing Constraints to Detect Local Patterns, in Local Pattern Detection, 2004, pp. 1-19.
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.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., The pursuit of hubbiness: Analysis of hubs in large multidimensional networks, J. Comput. Science, vol. 2, pp. 223-237, 2011.
S. Rinzivillo, Gabrielli, L., Nanni, M., Pappalardo, L., Pedreschi, D., and Giannotti, F., The purpose of motion: Learning activities from Individual Mobility Networks, in International Conference on Data Science and Advanced Analytics, {DSAA} 2014, Shanghai, China, October 30 - November 1, 2014, 2014.
A. Sirbu, Giannotti, F., Pedreschi, D., and Kertész, J., Public opinion and Algorithmic bias, ERCIM News, 2019.
F. Pratesi, Monreale, A., Trasarti, R., Giannotti, F., Pedreschi, D., and Yanagihara, T., PRUDEnce: a system for assessing privacy risk vs utility in data sharing ecosystems, Transactions on Data Privacy, vol. 11, 2018.
P. Mascellani and Pedreschi, D., Proving termination of Prolog programs, in GULP-PRODE (1), 1994, pp. 46-61.
K. R. Apt and Pedreschi, D., Proving Termination of General Prolog Programs, in TACS, 1991, pp. 265-289.
D. Pedreschi, A Proof Method for Runtime Properties of Prolog Programs, in ICLP, 1994, pp. 584-598.
B. Bertolino, Mancarella, P., Meo, L., Nini, L., Pedreschi, D., and Turini, F., A Progress Report on the LML Project, in FGCS, 1988, pp. 675-684.

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