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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.
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.
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, 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, Gabrielli, L., Cintia, P., Monreale, A., and Giannotti, F., PRIMULE: Privacy risk mitigation for user profiles, vol. 125, p. 101786, 2020.
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.
L. Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis, in International Conference on Smart Objects and Technologies for Social Good, 2017.
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, 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 Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis, in International Conference on Smart Objects and Technologies for Social Good, 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.
F. Pinelli, Monreale, A., Trasarti, R., and Giannotti, F., Location prediction within the mobility data analysis environment Daedalus, First International Workshop on Computational Transportation Science. Dublin, Ireland, 2008.
R. G. Pensa, Monreale, A., Pinelli, F., and Pedreschi, D., Pattern-Preserving k-Anonymization of Sequences and its Application to Mobility Data Mining, in PiLBA, 2008.
R. G. Pensa, Monreale, A., Pinelli, F., and Pedreschi, D., Anonymous Sequences from Trajectory Data, 17th Italian Symposium on Advanced Database Systems. Camogli, Italy, 2009.
D. Pennacchioli, Coscia, M., Rinzivillo, S., Pedreschi, D., and Giannotti, F., Explaining the PRoduct Range Effect in Purchase Data, IEEE Big Data. 2013.
D. Pennacchioli, Rossetti, G., Pappalardo, L., Pedreschi, D., Giannotti, F., and Coscia, M., The patterns of musical influence on the Last.Fm social network, in 22nd Italian Symposium on Advanced Database Systems, {SEBD} 2014, Sorrento Coast, Italy, June 16-18, 2014., 2014.
D. Pennacchioli, Rossetti, G., Pappalardo, L., Pedreschi, D., Giannotti, F., and Coscia, M., The Three Dimensions of Social Prominence, in Social Informatics - 5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013, Proceedings, 2013.
D. Pennacchioli, Coscia, M., and Pedreschi, D., Overlap versus partition: marketing classification and customer profiling in complex networks of products, in Data engineering workshops (ICDEW), 2014 IEEE 30th international conference on, 2014.
D. Pennacchioli, Coscia, M., Rinzivillo, S., Giannotti, F., and Pedreschi, D., The retail market as a complex system, EPJ Data Science, vol. 3, pp. 1–27, 2014.
R. Pellungrini, Pappalardo, L., Pratesi, F., and Monreale, A., Analyzing Privacy Risk in Human Mobility Data, in Software Technologies: Applications and Foundations - STAF 2018 Collocated Workshops, Toulouse, France, June 25-29, 2018, Revised Selected Papers, 2018.
R. Pellungrini, Pratesi, F., and Pappalardo, L., Assessing Privacy Risk in Retail Data, in Personal Analytics and Privacy. An Individual and Collective Perspective - First International Workshop, PAP 2017, Held in Conjunction with ECML PKDD 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers, 2017.
R. Pellungrini, Pappalardo, L., Simini, F., and Monreale, A., Modeling Adversarial Behavior Against Mobility Data Privacy, IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Intelligent Transportation Systems, pp. 1 - 14, 2020.
R. Pellungrini, Monreale, A., and Guidotti, R., Privacy Risk for Individual Basket Patterns, in ECML PKDD 2018 Workshops, Cham, 2019.
R. Pellungrini, Pappalardo, L., Pratesi, F., and Monreale, A., Fast Estimation of Privacy Risk in Human Mobility Data. 2017.

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