L.  Corbucci, Heikkila, M. A., Noguero, D. Solans, Monreale, A., and Kourtellis, N., ?PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning?, 2024.

A.  Knott, Pedreschi, D., Chatila, R., Chakraborti, T., Leavy, S., Baeza-Yates, R., Eyers, D., Trotman, A., Teal, P. D., Biecek, P., Russell, S., and Bengio, Y., ?Generative AI models should include detection mechanisms as a condition for public releaseAbstract?, Ethics and Information Technology, vol. 25, 2023.

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.

M.  Natilli, Fadda, D., Rinzivillo, S., Pedreschi, D., and Licari, F., ?Analysis and Visualization of Performance Indicators in University Admission Tests?, in Formal Methods. FM 2019 International Workshops, Cham, 2020.

E.  Ntoutsi, Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M. - E., Ruggieri, S., Turini, F., Papadopoulos, S., Krasanakis, E., and others, ?Bias in data-driven artificial intelligence systems?An introductory survey?, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 10, p. e1356, 2020.

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.

B.  Qureshi, Kamiran, F., Karim, A., Ruggieri, S., and Pedreschi, D., ?Causal inference for social discrimination reasoning?, vol. 54, pp. 425 - 437, 2020.

J.  Kim, Sirbu, A., Giannotti, F., and Gabrielli, L., ?Digital Footprints of International Migration on Twitter?, in International Symposium on Intelligent Data Analysis, 2020.

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.

A.  Sirbu, Andrienko, G., Andrienko, N., Boldrini, C., Conti, M., Giannotti, F., Guidotti, R., Bertoli, S., Kim, J., Muntean, C. Ioana, Pappalardo, L., Passarella, A., Pedreschi, D., Pollacci, L., Pratesi, F., and Sharma, R., ?Human migration: the big data perspective?, International Journal of Data Science and Analytics, pp. 1?20, 2020.

R.  Guidotti and Rossetti, G., ??Know Thyself? How Personal Music Tastes Shape the Last.Fm Online Social Network?, in Formal Methods. FM 2019 International Workshops, Cham, 2020.

F.  Naretto, Pellungrini, R., Nardini, F. Maria, and Giannotti, F., ?Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks?, in ECML PKDD 2020 Workshops, Cham, 2020.

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.

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.

A.  Sirbu, Giannotti, F., Pedreschi, D., and Kertész, J., ?Public opinion and Algorithmic bias?, ERCIM News, 2019.

M.  Nanni, Kotthoff, L., Guidotti, R., O'Sullivan, B., and Pedreschi, D., ?ICON Loop Carpooling Show Case?, Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach, vol. 10101, p. 310, 2017.

C.  Bessiere, De Raedt, L., Guns, T., Kotthoff, L., Nanni, M., Nijssen, S., O'Sullivan, B., Paparrizou, A., Pedreschi, D., and Simonis, H., ?The Inductive Constraint Programming Loop?, IEEE Intelligent Systems, 2017.

B.  Qureshi, Kamiran, F., Karim, A., and Ruggieri, S., ?Causal Discrimination Discovery Through Propensity Score Analysis?, arXiv preprint arXiv:1608.03735, 2016.

C.  Bessiere, De Raedt, L., Kotthoff, L., Nijssen, S., O'Sullivan, B., and Pedreschi, D., ?Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach.?. 2016.

G.  Rossetti, Pappalardo, L., Kikas, R., Pedreschi, D., Giannotti, F., and Dumas, M., ?Homophilic network decomposition: a community-centric analysis of online social services?, Social Network Analysis and Mining, vol. 6, p. 103, 2016.

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.

G.  Rossetti, Pappalardo, L., Kikas, R., Pedreschi, D., Giannotti, F., and Dumas, M., ?Community-centric analysis of user engagement in Skype social network?, in International conference on Advances in Social Network Analysis and Mining, Paris, France, 2015.

L.  Kotthoff, Nanni, M., Guidotti, R., and O'Sullivan, B., ?Find Your Way Back: Mobility Profile Mining with Constraints?, in Principles and Practice of Constraint Programming, Cork, 2015.

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.

S.  Ruggieri, Hajian, S., Kamiran, F., and Zhang, X., ?Anti-discrimination analysis using privacy attack strategies?, in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2014.

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.

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.  Fileto, Krger, M., Pelekis, N., Theodoridis, Y., and Renso, C., ?Baquara: A Holistic Ontological Framework for Movement Analysis with Linked Data?, in Entity Relationship Conference - ER 2013, Hong Kong, 2013.

T.  Bellemans, Bothe, S., Cho, S., Giannotti, F., Janssens, D., Knapen, L., Körner, C., May, M., Nanni, M., Pedreschi, D., Stange, H., Trasarti, R., Yasar, A. - U. - H., and Wets, G., ?An Agent-Based Model to Evaluate Carpooling at Large Manufacturing Plants?, in Proceedings of the 3rd International Conference on Ambient Systems, Networks and Technologies {(ANT} 2012), the 9th International Conference on Mobile Web Information Systems (MobiWIS-2012), Niagara Falls, Ontario, Canada, August 27-29, 2012, 2012.

A.  Sirbu, Kerr, G., Crane, M., and Ruskin, H. J., ?RNA-Seq vs dual- and single-channel microarray data: sensitivity analysis for differential expression and clustering.?, PLoS One, vol. 7, p. e50986, 2012.

D.  Marbach, Costello, J. C., Küffner, R., Vega, N. M., Prill, R. J., Camacho, D. M., Allison, K. R., Kellis, M., Collins, J. J., and Stolovitzky, G., ?Wisdom of crowds for robust gene network inference.?, Nat Methods, vol. 9, pp. 796-804, 2012.

D.  Marbach, Costello, J. C., Küffner, R., Vega, N. M., Prill, R. J., Camacho, D. M., Allison, K. R., Kellis, M., Collins, J. J., Aderhold, A., Stolovitzky, G., Bonneau, R., Chen, Y., Cordero, F., Crane, M., Dondelinger, F., Drton, M., Esposito, R., Foygel, R., De La Fuente, A., Gertheiss, J., Geurts, P., Greenfield, A., Grzegorczyk, M., Haury, A. - C., Holmes, B., Hothorn, T., Husmeier, D., Huynh-Thu, V. A., Irrthum, A., Karlebach, G., Lebre, S., De Leo, V., Madar, A., Mani, S., Mordelet, F., Ostrer, H., Ouyang, Z., Pandya, R., Petri, T., Pinna, A., Poultney, C. S., Rezny, S., Ruskin, H. J., Saeys, Y., Shamir, R., Sirbu, A., Song, M., Soranzo, N., Statnikov, A., Vega, N. M., Vera-Licona, P., Vert, J. - P., Visconti, A., Wang, H., Wehenkel, L., Windhager, L., Zhang, Y., and Zimmer, R., ?Wisdom of crowds for robust gene network inference?, Nature Methods, vol. 9, pp. 796-804, 2012.

S.  Kisilevich, Mansmann, F., Nanni, M., and Rinzivillo, S., ?Spatio-temporal clustering?, in Data Mining and Knowledge Discovery Handbook, 2010, pp. 855-874.

A.  Zanda, Körner, C., Giannotti, F., Schulz, D., and May, M., ?Clustering of German municipalities based on mobility characteristics: an overview of results?, in GIS, 2008, p. 69.

S.  Rinzivillo, Turini, F., Bogorny, V., Körner, C., Kuijpers, B., and May, M., ?Knowledge Discovery from Geographical Data?, in Mobility, Data Mining and Privacy, 2008, pp. 243-265.

G.  Manco, Baglioni, M., Giannotti, F., Kuijpers, B., Raffaetà, A., and Renso, C., ?Querying and Reasoning for Spatio-Temporal Data Mining?, Mobility, Privacy, and Geography: a Knowledge Discovery vision, 2008.

G.  Manco, Baglioni, M., Giannotti, F., Kuijpers, B., Raffaetà, A., and Renso, C., ?Querying and Reasoning for Spatiotemporal Data Mining?, in Mobility, Data Mining and Privacy, 2008, pp. 335-374.

M.  Nanni, Kuijpers, B., Körner, C., May, M., and Pedreschi, D., ?Spatiotemporal Data Mining?, in Mobility, Data Mining and Privacy, 2008, pp. 267-296.