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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.
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R. Guidotti, Monreale, A., Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Unveiling mobility complexity through complex network analysis”, Social Network Analysis and Mining, vol. 6, p. 59, 2016.
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M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Towards Discovery of Eras in Social Networks”, in M3SN 2010 Workshop, in conjunction with ICDE2010, 2010.
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R. Guidotti, Monreale, A., Ruggieri, S., Turini, F., Giannotti, F., and Pedreschi, D., “A survey of methods for explaining black box models”, ACM computing surveys (CSUR), vol. 51, p. 93, 2018.
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.
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A. Basu, Monreale, A., Trasarti, R., Corena, J. C., Giannotti, F., Pedreschi, D., Kiyomoto, S., Miyake, Y., and Yanagihara, T., “A risk model for privacy in trajectory data”, Journal of Trust Management, vol. 2, p. 9, 2015.
R. Guidotti, Monreale, A., Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Retrieving Points of Interest from Human Systematic Movements”, in Software Engineering and Formal Methods, Springer International Publishing, 2014, pp. 294–308.
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.
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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.
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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.
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.
A. Marrella, Monreale, A., Kloepper, B., and Krueger, M. W., “Privacy-Preserving Outsourcing of Pattern Mining of Event-Log Data-A Use-Case from Process Industry”, in Cloud Computing Technology and Science (CloudCom), 2016 IEEE International Conference on, 2016.
A. Monreale and Wang, H. Wendy, “Privacy-Preserving Outsourcing of Data Mining”, in 40th IEEE Annual Computer Software and Applications Conference, {COMPSAC} Workshops 2016, Atlanta, GA, USA, June 10-14, 2016, Atlanta, GA, USA, 2016.
F. Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, “Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases”, IEEE Systems Journal, 2013.
A. Monreale, Wang, H. Wendy, Pratesi, F., Rinzivillo, S., Pedreschi, D., Andrienko, G., and Andrienko, N., “Privacy-Preserving Distributed Movement Data Aggregation”, in Geographic Information Science at the Heart of Europe, D. Vandenbroucke, Bucher, B., and Crompvoets, J., Eds. Springer International Publishing, 2013, pp. 225-245.
F. Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, “Privacy-preserving data mining from outsourced databases.”, in the 3rd International Conference on Computers, Privacy, and Data Protection: An element of choice , 2011.
A. Monreale, Rinzivillo, S., Pratesi, F., Giannotti, F., and Pedreschi, D., “Privacy-by-Design in Big Data Analytics and Social Mining”, EPJ Data Science, vol. 10, 2014.
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.
A. Basu, Monreale, A., Corena, J. C., Giannotti, F., Pedreschi, D., Kiyomoto, S., Miyake, Y., Yanagihara, T., and Trasarti, R., “A Privacy Risk Model for Trajectory Data”, in Trust Management {VIII} - 8th {IFIP} {WG} 11.11 International Conference, {IFIPTM} 2014, Singapore, July 7-10, 2014. Proceedings, 2014, pp. 125–140.
R. Pellungrini, Monreale, A., and Guidotti, R., “Privacy Risk for Individual Basket Patterns”, in ECML PKDD 2018 Workshops, Cham, 2019.
R. Pellungrini, Monreale, A., and Guidotti, R., “Privacy Risk for Individual Basket Patterns”, in ECML PKDD 2018 Workshops, Cham, 2019.
G. Mariani, Monreale, A., and Naretto, F., “Privacy Risk Assessment of Individual Psychometric Profiles”, in Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings, 2021.
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, Gabrielli, L., Cintia, P., Monreale, A., and Giannotti, F., “PRIMULE: Privacy risk mitigation for user profiles”, vol. 125, p. 101786, 2020.

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