Publications

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Conference Proceedings
I. Brilhante, Berlingerio, M., Trasarti, R., Renso, C., de Macêdo, J. A. F., and Casanova, M. A., ComeTogether: Discovering Communities of Places in Mobility Data, MDM 2012. pp. 268-273, 2012.
D. Pennacchioli, Coscia, M., Rinzivillo, S., Pedreschi, D., and Giannotti, F., Explaining the PRoduct Range Effect in Purchase Data, IEEE Big Data. 2013.
G. Andrienko, Andrienko, N., Hurter, C., Rinzivillo, S., and Wrobel, S., From Movement Tracks through Events to Places: Extracting and Characterizing Significant Places from Mobility Data, IEEE Conference on Visual Analytics Science and Technology. 2011.
G. Andrienko, Andrienko, N., Giannotti, F., Monreale, A., Pedreschi, D., and Rinzivillo, S., A Generalisation-based Approach to Anonymising Movement Data, 13th AGILE conference on Geographic Information Science. 2010.
D. Fadda, Natilli, M., and Rinzivillo, S., GET-Viz: a library for automatic generation of visual dashboard for geographical time series, 8th International Conference on Computational Social Science (IC2S2). Chicago, USA, 2022.
P. Cintia, Pappalardo, L., Pedreschi, D., Giannotti, F., and Malvaldi, M., The harsh rule of the goals: data-driven performance indicators for football teams, IEEE International Conference on Data Science and Advanced Analytics. 2015.
L. Passaro, Pollacci, L., and Lenci, A., ItEM: A Vector Space Model to Bootstrap an Italian Emotive Lexicon, Second Italian Conference on Computational Linguistics CLiC-it 2015, vol. II, 2 vol. 2015.
J. - F. Boulicaut, Esposito, F., Giannotti, F., and Pedreschi, D., Knowledge Discovery in Databases: PKDD 2004, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings, Lecture Notes in Computer Science, vol. 3202. Springer, 2004.
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.
D. Pedreschi and Zaniolo, C., Logic in Databases, International Workshop LID'96, San Miniato, Italy, July 1-2, 1996, Proceedings, Lecture Notes in Computer Science, vol. 1154. Springer, 1996.
J. - F. Boulicaut, Esposito, F., Giannotti, F., and Pedreschi, D., Machine Learning: ECML 2004, 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings, Lecture Notes in Computer Science, vol. 3201. Springer, 2004.
M. Coscia, Rinzivillo, S., Pedreschi, D., and Giannotti, F., Optimal Spatial Resolution for the Analysis of Human Mobility, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Instanbul, Turkey, 2012.
A. Sirbu and Babaoglu, O., Power Consumption Modeling and Prediction in a Hybrid CPU-GPU-MIC Supercomputer, 22nd International European Conference on Parallel and Distributed Computing, Euro-Par 2016, vol. LNCS 9833. Springer LNCS, Grenoble, France, 2016.
F. Morandin, Amato, G., Gini, R., Metta, C., Parton, M., and Pascutto, G. C., SAI a Sensible Artificial Intelligence that plays Go. 2019.
L. Corbucci, Monreale, A., Panigutti, C., Natilli, M., Smiraglio, S., and Pedreschi, D., Semantic Enrichment of XAI Explanations for Healthcare, 24th International Conference on Artificial Intelligence. 2022.
R. Trasarti, Grossi, V., Natilli, M., and Rapisarda, B., SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics., 30th Italian Symposium on Advanced Database Systems (SEBD – Sistemi Evoluti per Basi di Dati). Tirrenia, Pisa, 2022.
A. Monreale, Pinelli, F., Trasarti, R., and Giannotti, F., WhereNext: a Location Predictor on Trajectory Pattern Mining, 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2009.
Journal Article
L. Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., Active and passive diffusion processes in complex networks, Applied network science, vol. 3, p. 42, 2018.
R. Guidotti, Monreale, A., and Pedreschi, D., The AI black box Explanation Problem, ERCIM NEWS, pp. 12–13, 2019.
A. Sirbu, Pedreschi, D., Giannotti, F., and Kertész, J., Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model, PloS one, vol. 14, p. e0213246, 2019.
D. Morelli, Rossi, A., Cairo, M., and Clifton, D. A., Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations, Sensors, vol. 19, p. 3163, 2019.
L. Pappalardo, Vanhoof, M., Gabrielli, L., Smoreda, Z., Pedreschi, D., and Giannotti, F., An analytical framework to nowcast well-being using mobile phone data, International Journal of Data Science and Analytics, vol. 2, pp. 75–92, 2016.
G. Rossetti, ANGEL: efficient, and effective, node-centric community discovery in static and dynamic networks, Applied Network Science, vol. 5, pp. 1–23, 2020.
M. Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., Anonymity and data mining, Comput. Syst. Sci. Eng., vol. 20, 2005.
M. Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., Anonymity preserving pattern discovery, VLDB J., vol. 17, pp. 703-727, 2008.

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