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G
M. Nanni, Andrienko, G., Barabasi, A. - L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Ferragina, P., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertész, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. Megías, Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., van den Hoven, J., and Vespignani, A., “Give more data, awareness and control to individual citizens, and they will help COVID-19 containment”, 2021.
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.
I. Martinucci, Natilli, M., Lorenzoni, V., Pappalardo, L., Monreale, A., Turchetti, G., Pedreschi, D., Marchi, S., Barale, R., and de Bortoli, N., “Gastroesophageal reflux symptoms among Italian university students: epidemiology and dietary correlates using automatically recorded transactions”, BMC gastroenterology, vol. 18, p. 116, 2018.
F
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Foundations of Multidimensional Network Analysis”, in ASONAM, 2011, pp. 485-489.
R. Pellungrini, Pappalardo, L., Pratesi, F., and Monreale, A., “Fast Estimation of Privacy Risk in Human Mobility Data”. 2017.
S. Hajian, Monreale, A., Pedreschi, D., Domingo-Ferrer, J., and Giannotti, F., “Fair pattern discovery”, in Symposium on Applied Computing, {SAC} 2014, Gyeongju, Republic of Korea - March 24 - 28, 2014, 2014, pp. 113–120.
R. Guidotti, Monreale, A., Giannotti, F., Pedreschi, D., Ruggieri, S., and Turini, F., “Factual and Counterfactual Explanations for Black Box Decision Making”, IEEE Intelligent Systems, 2019.
E
M. Natilli, Monreale, A., Guidotti, R., and Pappalardo, L., “Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis”, in ECML PKDD 2018 Workshops, 2018.
R. Trasarti, Rinzivillo, S., Pinelli, F., Nanni, M., Monreale, A., Renso, C., Pedreschi, D., and Giannotti, F., “Exploring Real Mobility Data with M-Atlas”, in ECML/PKDD (3), 2010, pp. 624-627.
C. Panigutti, Guidotti, R., Monreale, A., and Pedreschi, D., “Explaining multi-label black-box classifiers for health applications”, in International Workshop on Health Intelligence, 2019.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Evolving networks: Eras and turning points”, Intell. Data Anal., vol. 17, pp. 27–48, 2013.
F. Naretto, Monreale, A., and Giannotti, F., “Evaluating the Privacy Exposure of Interpretable Global and Local Explainers”, in Submitted at Journal of Artificial Intelligence and Law, 2023.
N. Forgó, Hänold, S., van den Hoven, J., Krügel, T., Lishchuk, I., Mahieu, R., Monreale, A., Pedreschi, D., Pratesi, F., and van Putten, D., “An ethico-legal framework for social data science”, 2020.
L. Corbucci, Monreale, A., and Pellungrini, R., “Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection”, in Proceedings of the 21st International Conference on Security and Cryptography - SECRYPT, 2024.
D
M. Nanni, Trasarti, R., Monreale, A., Grossi, V., and Pedreschi, D., “Driving Profiles Computation and Monitoring for Car Insurance CRM”, Journal ACM Transactions on Intelligent Systems and Technology (TIST), vol. 8, pp. 14:1–14:26, 2016.
S. Hajian, Domingo-Ferrer, J., Monreale, A., Pedreschi, D., and Giannotti, F., “Discrimination- and privacy-aware patterns”, Data Min. Knowl. Discov., vol. 29, pp. 1733–1782, 2015.
R. Guidotti, Gabrielli, L., Monreale, A., Pedreschi, D., and Giannotti, F., “Discovering temporal regularities in retail customers’ shopping behavior”, EPJ Data Science, vol. 7, p. 6, 2018.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Discovering Eras in Evolving Social Networks (Extended Abstract)”, in SEBD, 2010, pp. 78-85.
R. Pellungrini, Pappalardo, L., Pratesi, F., and Monreale, A., “A Data Mining Approach to Assess Privacy Risk in Human Mobility Data”, ACM Trans. Intell. Syst. Technol., vol. 9, pp. 31:1–31:27, 2017.
C
A. Monreale, Trasarti, R., Pedreschi, D., Renso, C., and Bogorny, V., “C-safety: a framework for the anonymization of semantic trajectories”, Transactions on Data Privacy, vol. 4, pp. 73-101, 2011.
R. Guidotti, Monreale, A., Nanni, M., Giannotti, F., and Pedreschi, D., “Clustering Individual Transactional Data for Masses of Users”, in Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017.
V. Grossi, Monreale, A., Nanni, M., Pedreschi, D., and Turini, F., “Clustering Formulation Using Constraint Optimization”, in Software Engineering and Formal Methods - {SEFM} 2015 Collocated Workshops: ATSE, HOFM, MoKMaSD, and VERY*SCART, York, UK, September 7-8, 2015, Revised Selected Papers, 2015.
G. Bachi, Coscia, M., Monreale, A., and Giannotti, F., “Classifying Trust/Distrust Relationships in Online Social Networks”, in 2012 International Conference on Privacy, Security, Risk and Trust, {PASSAT} 2012, and 2012 International Confernece on Social Computing, SocialCom 2012, Amsterdam, Netherlands, September 3-5, 2012, 2012, pp. 552–557.
A. Basu, Corena, J. C., Monreale, A., Pedreschi, D., Giannotti, F., Kiyomoto, S., Vaidya, J., and Miyake, Y., “CF-inspired Privacy-Preserving Prediction of Next Location in the Cloud”, in Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on, 2014.
B
R. Guidotti, Monreale, A., Matwin, S., and Pedreschi, D., “Black Box Explanation by Learning Image Exemplars in the Latent Feature Space”, in Machine Learning and Knowledge Discovery in Databases, Cham, 2020.

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