G.  Aliyev and Nanni, M., ?Exploiting Vehicular Data for Exposure-Aware Pedestrian Routing?, in 2025 26th IEEE International Conference on Mobile Data Management (MDM), 2025.

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.

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.

F.  Naretto, Pellungrini, R., Fadda, D., and Rinzivillo, S., ?EXPHLOT: EXplainable Privacy assessment for Human LOcation Trajectories?, in Discovery Science , 2023.

A.  Fedele, ?Explain and Interpret Few-Shot Learning?, in Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), Lisbon, Portugal, July 26-28, 2023, 2023.

L.  Corbucci, Guidotti, R., and Monreale, A., ?Explaining Black-Boxes in Federated Learning?, in Explainable Artificial Intelligence, Cham, 2023.

F.  Bodria, Rinzivillo, S., Fadda, D., Guidotti, R., Giannotti, F., and Pedreschi, D., ?Explaining Black Box with visual exploration of Latent Space?, EuroVis?Short Papers, 2022.

A.  Fedele, Guidotti, R., and Pedreschi, D., ?Explaining Siamese Networks in Few-Shot Learning for Audio Data?, in Discovery Science - 25th International Conference, DS 2022, Montpellier, France, October 10-12, 2022, Proceedings, 2022.

F.  Lillo and Ruggieri, S., ?Estimating the Total Volume of Queries to a Search Engine?, IEEE Transactions on Knowledge and Data Engineering, pp. 1-1, 2021.

F.  Giannotti, Naretto, F., and Bodria, F., ?Explainable for Trustworthy AI?, in Human-Centered Artificial Intelligence - Advanced Lectures, 18th European Advanced Course on AI, ACAI 2021, Berlin, Germany, October 11-15, 2021, extended and improved lecture notes, 2021.

L.  Pappalardo, Rossi, A., Natilli, M., and Cintia, P., ?Explaining the difference between men?s and women?s football?, PLOS ONE, vol. 16, p. e0255407, 2021.

A.  Rossi, Pedreschi, D., Clifton, D. A., and Morelli, D., ?Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts?, Sensors, vol. 20, p. 7122, 2020.

V.  Voukelatou, Pappalardo, L., Gabrielli, L., and Giannotti, F., ?Estimating countries? peace index through the lens of the world news as monitored by GDELT?, in 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA)2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), 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.

R.  Cazabet, Boudebza, S., and Rossetti, G., ?Evaluating community detection algorithms for progressively evolving graphs?, arXiv preprint arXiv:2007.08635, 2020.

F.  Bodria, Panisson, A., Perotti, A., and Piaggesi, S., ?Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis.?, in SEBD, 2020.

O.  Lampridis, Guidotti, R., and Ruggieri, S., ?Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars?, in Discovery Science, Cham, 2020.

S.  Citraro and Rossetti, G., ?Eva: Attribute-Aware Network Segmentation?, in International Conference on Complex Networks and Their Applications, 2019.

G.  Rossetti, ?Exorcising the Demon: Angel, Efficient Node-Centric Community Discovery?, in International Conference on Complex Networks and Their Applications, 2019.

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.

A.  Rossi, Pappalardo, L., Cintia, P., F Iaia, M., Fernàndez, J., and Medina, D., ?Effective injury forecasting in soccer with GPS training data and machine learning?, PloS one, vol. 13, p. e0201264, 2018.

R.  Guidotti, Soldani, J., Neri, D., and Brogi, A., ?Explaining successful docker images using pattern mining analysis?, in Federation of International Conferences on Software Technologies: Applications and Foundations, 2018.

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.

A.  Baroni, Conte, A., Patrignani, M., and Ruggieri, S., ?Efficiently Clustering Very Large Attributed Graphs?, arXiv preprint arXiv:1703.08590, 2017.

P.  Mukala, Cerone, A., and Turini, F., ?An empirical verification of a-priori learning models on mailing archives in the context of online learning activities of participants in free\libre open source software (FLOSS) communities?, Education and Information Technologies, vol. 22, pp. 3207?3229, 2017.

S.  Ruggieri, ?Enumerating Distinct Decision Trees?, in International Conference on Machine Learning, 2017.

R.  Guidotti and Coscia, M., ?On the Equivalence Between Community Discovery and Clustering?, in International Conference on Smart Objects and Technologies for Social Good, 2017.

P.  Gravino, Sirbu, A., Becker, M., Servedio, V. D. P., and Loreto, V., ?Experimental Assessment of the Emergence of Awareness and Its Influence on Behavioral Changes: The Everyaware Lesson?, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 337?362.

P.  Contucci, Panizzi, E., Ricci-Tersenghi, F., and Sirbu, A., ?Egalitarianism in the rank aggregation problem: a new dimension for democracy?, Quality & Quantity, pp. 1?16, 2015.

P.  Mukala, Cerone, A., and Turini, F., ?An exploration of learning processes as process maps in FLOSS repositories?. 2015.

A.  Sirbu, Crane, M., and Ruskin, H. J., ?EGIA?Evolutionary Optimisation of Gene Regulatory Networks, an Integrative Approach?, in Complex Networks V, Springer International Publishing, 2014, pp. 217?229.

K. S.  Boeg, Ira Assent,, and Magnani, M., ?Efficient GPU-based skyline computation?, in DAMON@SIGMOD 2013, 2013.

P.  Cintia, Pappalardo, L., and Pedreschi, D., ?"Engine Matters": {A} First Large Scale Data Driven Study on Cyclists' Performance?, in 13th {IEEE} International Conference on Data Mining Workshops, {ICDM} Workshops, TX, USA, December 7-10, 2013, 2013.

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.

D.  Pennacchioli, Coscia, M., Rinzivillo, S., Pedreschi, D., and Giannotti, F., ?Explaining the PRoduct Range Effect in Purchase Data?, IEEE Big Data. 2013.

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.

B.  Furletti, Fornasari, F., and Montanari, C., ?AN EXTENSIBLE AND INTERACTIVE SOFTWARE AGENT FOR MOBILE DEVICES BASED ON GPS DATA?, in IADIS International Conference Applied Computing, 2008.

F.  Giannotti, Nanni, M., and Pedreschi, D., ?Efficient Mining of Temporally Annotated Sequences?, in SDM, 2006.

F.  Turini, Baglioni, M., Furletti, B., and Rinzivillo, S., ?Examples of Integration of Induction and Deduction in Knowledge Discovery?, in Reasoning, Action and Interaction in AI Theories and Systems, vol. 4155, 2006, pp. 307-326.

F.  Turini, Baglioni, M., Furletti, B., and Rinzivillo, S., ?Examples of Integration of Induction and Deduction in Knowledge Discovery?, in Reasoning, Action and Interaction in AI Theories and Systems, 2006, pp. 307-326.

F.  Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., ?Efficient breadth-first mining of frequent pattern with monotone constraints?, Knowl. Inf. Syst., vol. 8, pp. 131-153, 2005.

F.  Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., ?Exante: A Preprocessing Method for Frequent-Pattern Mining?, IEEE Intelligent Systems, vol. 20, pp. 25-31, 2005.

S.  Rinzivillo and Turini, F., ?Extracting spatial association rules from spatial transactions?, in ACM GIS, 2005, pp. 79-86.

F.  Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., ?ExAMiner: Optimized Level-wise Frequent Pattern Mining with Monotone Constraint?, in ICDM, 2003, pp. 11-18.

F.  Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., ?ExAnte: Anticipated Data Reduction in Constrained Pattern Mining?, in PKDD, 2003, pp. 59-70.

A.  Raffaetà, Turini, F., and Renso, C., ?Enhancing GISs for spatio-temporal reasoning?, in ACM-GIS, 2002, pp. 42-48.

F.  Giannotti, Manco, G., Pedreschi, D., and Turini, F., ?Experiences with a Logic-based knowledge discovery Support Environment?, in 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1999.

F.  Giannotti, Manco, G., Pedreschi, D., and Turini, F., ?Experiences with a Logic-Based Knowledge Discovery Support Environment?, in AI*IA, 1999, pp. 202-213.

F.  Giannotti, Manco, G., Nanni, M., and Pedreschi, D., ?On the Effective Semantics of Nondeterministic, Nonmonotonic, Temporal Logic Databases?, in CSL, 1998, pp. 58-72.

L.  Corciulo, Giannotti, F., Pedreschi, D., and Zaniolo, C., ?Expressive Power of Non-Deterministic Operators for Logic-based Languages?, in Workshop on Deductive Databases and Logic Programming, 1994, pp. 27-40.