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R
P. Resce, Vorwerk, L., Han, Z., Cornacchia, G., Alamdari, O. Isfahani, Nanni, M., Pappalardo, L., Weimer, D., and Liu, Y., “Connected Vehicle Simulation Framework for Parking Occupancy Prediction (Demo Paper)”, in Proceedings of the 30th International Conference on Advances in Geographic Information Systems, New York, NY, USA, 2022.
C. Renso, Baglioni, M., de Macêdo, J. Antônio F., Trasarti, R., and Wachowicz, M., “How you move reveals who you are: understanding human behavior by analyzing trajectory data”, Knowl. Inf. Syst., vol. 37, pp. 331–362, 2013.
C. Renso and Ruggieri, S., “A Mediator Approach for Representing Knowledge”, Intelligent Multimedia Presentation Systems. Human Computer Interaction Letters, 1 (1): 32-38, April 1998., 1998.
C. Renso, Mechanisms for Semantic Integration of Deductive Databases. 1998.
C. Renso, Puntoni, S., Frentzos, E., Mazzoni, A., Moelans, B., Pelekis, N., and Pini, F., “Wireless Network Data Sources: Tracking and Synthesizing Trajectories”, in Mobility, Data Mining and Privacy, 2008, pp. 73-100.
A. Rauber, Trasarti, R., and Giannotti, F., “Transparency in Algorithmic Decision Making”, ERCIM News, 2019.
A. Raffaetà, Turini, F., and Renso, C., “Enhancing GISs for spatio-temporal reasoning”, in ACM-GIS, 2002, pp. 42-48.
A. Raffaetà, Renso, C., and Turini, F., “Qualitative Reasoning in a Spatio-Temporal Language”, in SEBD, 2002, pp. 105-118.
A. Raffaetà, Ceccarelli, T., Centeno, D., Giannotti, F., Massolo, A., Parent, C., Renso, C., Spaccapietra, S., and Turini, F., “An Application of Advanced Spatio-Temporal Formalisms to Behavioural Ecology”, GeoInformatica, vol. 12, pp. 37-72, 2008.
A. Raffaetà and Renso, C., “Temporal Reasoning in Geographical Information Systems”, in DEXA Workshop, 2000, pp. 899-905.
A. Raffaetà, Renso, C., and Turini, F., “Qualitative Spatial Reasoning in a Logical Framework”, in AI*IA, 2003, pp. 78-90.
R.Liu, Wang, H. Wendy, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., “AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems.”, in Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2012 , 2012.
Q
B. Qureshi, Kamiran, F., Karim, A., Ruggieri, S., and Pedreschi, D., “Causal inference for social discrimination reasoning”, Journal of Intelligent Information Systems, pp. 1–13, 2019.
B. Qureshi, Kamiran, F., Karim, A., Ruggieri, S., and Pedreschi, D., “Causal inference for social discrimination reasoning”, vol. 54, pp. 425 - 437, 2020.
B. Qureshi, Kamiran, F., Karim, A., and Ruggieri, S., “Causal Discrimination Discovery Through Propensity Score Analysis”, arXiv preprint arXiv:1608.03735, 2016.
P
A. Pugnana and Ruggieri, S., “A Model-Agnostic Heuristics for Selective Classification”, in Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, 2023, Washington, DC, USA, February 7-14, 2023, 2023.
A. Pugnana, “Topics in Selective Classification”, in Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, 2023.
A. Pugnana and Ruggieri, S., “AUC-based Selective Classification”, in International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain, 2023.
F. Pratesi, Monreale, A., Wang, H. Wendy, Rinzivillo, S., Pedreschi, D., Andrienko, G., and Andrienko, N., “Privacy-Aware Distributed Mobility Data Analytics”, in SEBD, Roccella Jonica, 2013.
F. Pratesi, Monreale, A., Giannotti, F., and Pedreschi, D., “Privacy Preserving Multidimensional Profiling”, in International Conference on Smart Objects and Technologies for Social Good, 2017.
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.
F. Pratesi, Gabrielli, L., Cintia, P., Monreale, A., and Giannotti, F., “PRIMULE: Privacy risk mitigation for user profiles”, vol. 125, p. 101786, 2020.
L. Pollacci, Guidotti, R., and Rossetti, G., ““Are we playing like Music-Stars?” Placing Emerging Artists on the Italian Music Scene”, 9th International Workshop on Machine Learning and Music, ECML-PKDD. Riva del Garda, 2016.
L. Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., “The italian music superdiversity”, Multimedia Tools and Applications, pp. 1–23, 2018.
L. Pollacci, Sirbu, A., Giannotti, F., Pedreschi, D., Lucchese, C., and Muntean, C. Ioana, “Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter”, in Conference of the Italian Association for Artificial Intelligence, 2017.

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