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A. Sirbu, Giannotti, F., Pedreschi, D., and Kertész, J., “Public opinion and Algorithmic bias”, ERCIM News, 2019.
L. Corbucci, Heikkila, M. A., Noguero, D. Solans, Monreale, A., and Kourtellis, N., “PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning”, 2024.
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.
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.
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.
F. Bonchi and Giannotti, F., “Pushing Constraints to Detect Local Patterns”, in Local Pattern Detection, 2004, pp. 1-19.
Q
A. Raffaetà, Renso, C., and Turini, F., “Qualitative Reasoning in a Spatio-Temporal Language”, in SEBD, 2002, pp. 105-118.
A. Raffaetà, Renso, C., and Turini, F., “Qualitative Spatial Reasoning in a Logical Framework”, in AI*IA, 2003, pp. 78-90.
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.
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.
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. Pappalardo and Cintia, P., “Quantifying the relation between performance and success in soccer”, Advances in Complex Systems, p. 1750014, 2017.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., “Query Answering in Nondeterministic, Nonmonotonic Logic Databases”, in FQAS, 1998, pp. 175-187.
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.
M. Nanni and Trasarti, R., “Querying and mining trajectories with gaps: a multi-path reconstruction approach (Extended Abstract)”, in SEBD, 2010, pp. 126-133.
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.
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.
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M. E. Carboni, Deo, A. D., Giannotti, F., and Masserotti, M. V., “Ragionamento spazio-temporale con LDLT: primi esperimenti verso un sistema deduttivo per applicazioni geografiche”, in SEBD, 1996, pp. 73-90.
C. Bertazzoni and Giannotti, F., “RASP: A Resource Allocator for Software Projects”, in IEA/AIE (Vol. 2), 1990, pp. 628-637.
P. Ayris, Berthou, J. - Y., Bruce, R., Lindstaedt, S., Monreale, A., Mons, B., Murayama, Y., Södergård, C., Tochtermann, K., and Wilkinson, R., Realising the European open science cloud. 2016.
K. R. Apt and Pedreschi, D., “Reasoning about Termination of Pure Prolog Programs”, Inf. Comput., vol. 106, pp. 109-157, 1993.
R. Guidotti and Gabrielli, L., “Recognizing Residents and Tourists with Retail Data Using Shopping Profiles”, in International Conference on Smart Objects and Technologies for Social Good, 2017.
A. Sirbu, Ruskin, H. J., and Crane, M., “Regulatory network modelling: Correlation for structure and parameter optimisation”, Proceedings of The IASTED Technology Conferences (International Conference on Computational Bioscience), Cambridge, Massachusetts, pp. 3473–3481, 2010.

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