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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.
F. Bodria, Panisson, A., Perotti, A., and Piaggesi, S., “Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis.”, in SEBD, 2020.
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. Corbucci, Guidotti, R., and Monreale, A., “Explaining Black-Boxes in Federated Learning”, in Explainable Artificial Intelligence, Cham, 2023.
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.
O. Lampridis, Guidotti, R., and Ruggieri, S., “Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars”, in Discovery Science, Cham, 2020.
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.
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.
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.
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.
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.
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.
S. Rinzivillo and Turini, F., “Extracting spatial association rules from spatial transactions”, in ACM GIS, 2005, pp. 79-86.
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.
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.
M. Berlingerio, Coscia, M., and Giannotti, F., “Finding and Characterizing Communities in Multidimensional Networks”, in ASONAM, 2011, pp. 490-494.
M. Berlingerio, Coscia, M., and Giannotti, F., “Finding redundant and complementary communities in multidimensional networks”, in CIKM, 2011, pp. 2181-2184.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Foundations of Multidimensional Network Analysis”, in ASONAM, 2011, pp. 485-489.
L. Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., “The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis”, in International Conference on Smart Objects and Technologies for Social Good, 2018.
L. Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., “The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis”, in International Conference on Smart Objects and Technologies for Social Good, 2017.
F. Bonchi, Giannotti, F., and Pedreschi, D., “Frequent Pattern Queries for Flexible Knowledge Discovery”, in SEBD, 2004, pp. 250-261.
V. Pansanella, Rossetti, G., and Milli, L., “From Mean-Field to Complex Topologies: Network Effects on the Algorithmic Bias Model”, in Complex Networks & Their Applications X, 2022.
F. Giannotti and Latella, D., “Gate Splitting in LOTOS Specifications Using Abstract Interpretation”, in TAPSOFT, 1993, pp. 437-452.
F. Giannotti, Pedreschi, D., and Theodoridis, Y., “Geographic privacy-aware knowledge discovery and delivery”, in EDBT, 2009, pp. 1157-1158.
F. Giannotti, Nanni, M., Pedreschi, D., Renso, C., Rinzivillo, S., and Trasarti, R., “GeoPKDD – Geographic Privacy-aware Knowledge Discovery”, in The European Future Technologies Conference (FET 2009), 2009.

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