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.

R.  Guidotti, Monreale, A., Ruggieri, S., Naretto, F., Turini, F., Pedreschi, D., and Giannotti, F., ?Stable and actionable explanations of black-box models through factual and counterfactual rules?, Data Mining and Knowledge Discovery, 2022.

F.  Bodria, Giannotti, F., Guidotti, R., Naretto, F., Pedreschi, D., and Rinzivillo, S., ?Benchmarking and Survey of Explanation Methods for Black Box Models?, CoRR, vol. abs/2102.13076, 2021.

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.  Setzu, Guidotti, R., Monreale, A., Turini, F., Pedreschi, D., and Giannotti, F., ?GLocalX - From Local to Global Explanations of Black Box AI Models?, vol. 294, p. 103457, 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.

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.

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

M.  Setzu, Guidotti, R., Monreale, A., and Turini, F., ?Global Explanations with Local Scoring?, in Machine Learning and Knowledge Discovery in Databases, Cham, 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.

G.  Andrienko, Andrienko, N., Boldrini, C., Caldarelli, G., Cintia, P., Cresci, S., Facchini, A., Giannotti, F., Gionis, A., Guidotti, R., and others, ?(So) Big Data and the transformation of the city?, International Journal of Data Science and Analytics, 2020.

R.  Guidotti, Monreale, A., and Pedreschi, D., ?The AI black box Explanation Problem?, ERCIM NEWS, pp. 12?13, 2019.

S.  Bruestle, Pappalardo, L., and Guidotti, R., ?Defining Geographic Markets from Probabilistic Clusters: A Machine Learning Algorithm Applied to Supermarket Scanner Data?, Available at SSRN 3452058, 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.

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.

R.  Guidotti, Monreale, A., and Cariaggi, L., ?Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers?, in Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2019.

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

D.  Pedreschi, Giannotti, F., Guidotti, R., Monreale, A., Ruggieri, S., and Turini, F., ?Meaningful explanations of Black Box AI decision systems?, in Proceedings of the AAAI Conference on Artificial Intelligence, 2019.

R.  Pellungrini, Monreale, A., and Guidotti, R., ?Privacy Risk for Individual Basket Patterns?, in ECML PKDD 2018 Workshops, Cham, 2019.

R.  Guidotti and Ruggieri, S., ?On The Stability of Interpretable Models?, in 2019 International Joint Conference on Neural Networks (IJCNN), 2019.

R.  Guidotti and Ruggieri, S., ?Assessing the Stability of Interpretable Models?, arXiv preprint arXiv:1810.09352, 2018.

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.

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.

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.

R.  Guidotti, Soldani, J., Neri, D., Brogi, A., and Pedreschi, D., ?Helping your docker images to spread based on explainable models?, in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2018.

L.  Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., ?The italian music superdiversity?, Multimedia Tools and Applications, pp. 1?23, 2018.

R.  Guidotti, Monreale, A., and Rinzivillo, S., ?Learning Data Mining?, in 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), 2018.

R.  Guidotti, Monreale, A., Ruggieri, S., Pedreschi, D., Turini, F., and Giannotti, F., ?Local Rule-Based Explanations of Black Box Decision Systems?, 2018.

D.  Pedreschi, Giannotti, F., Guidotti, R., Monreale, A., Pappalardo, L., Ruggieri, S., and Turini, F., ?Open the Black Box Data-Driven Explanation of Black Box Decision Systems?, 2018.

R.  Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., ?Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences?, IEEE Transactions on Knowledge and Data Engineering, 2018.

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.

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.

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.

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.

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.

R.  Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., ?Market Basket Prediction using User-Centric Temporal Annotated Recurring Sequences?, in 2017 IEEE International Conference on Data Mining (ICDM), 2017.

R.  Trasarti, Guidotti, R., Monreale, A., and Giannotti, F., ?MyWay: Location prediction via mobility profiling?, Information Systems, vol. 64, pp. 350?367, 2017.

R.  Guidotti, Nanni, M., Rinzivillo, S., Pedreschi, D., and Giannotti, F., ?Never drive alone: Boosting carpooling with network analysis?, Information Systems, vol. 64, pp. 237?257, 2017.

R.  Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., ?Next Basket Prediction using Recurring Sequential Patterns?, arXiv preprint arXiv:1702.07158, 2017.

R.  Guidotti and Gabrielli, L., ?Recognizing Residents and Tourists with Retail Data Using Shopping Profiles?, in International Conference on Smart Objects and Technologies for Social Good, 2017.

R.  Guidotti, Trasarti, R., Nanni, M., Giannotti, F., and Pedreschi, D., ?There's A Path For Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas?, in 4th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), Tokyo, 2017.

L.  Pollacci, Guidotti, R., and Rossetti, G., ??Are we playing like Music-Stars?? Placing Emerging Artists on the Italian Music Scene?, 9th International Workshop on Machine Learning and Music, ECML-PKDD. Riva del Garda, 2016.

R.  Guidotti, Rossetti, G., and Pedreschi, D., ?Audio Ergo Sum?, in Federation of International Conferences on Software Technologies: Applications and Foundations, 2016.

R.  Guidotti, Coscia, M., Pedreschi, D., and Pennacchioli, D., ?Going Beyond GDP to Nowcast Well-Being Using Retail Market Data?, in Advances in Network Science, Springer International Publishing, 2016, pp. 29?42.

G.  Rossetti, Guidotti, R., Miliou, I., Pedreschi, D., and Giannotti, F., ?A supervised approach for intra-/inter-community interaction prediction in dynamic social networks?, Social Network Analysis and Mining, vol. 6, p. 86, 2016.

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.

R.  Guidotti and Berlingerio, M., ?Where Is My Next Friend? Recommending Enjoyable Profiles in Location Based Services?, in Complex Networks VII, Springer International Publishing, 2016, pp. 65?78.

R.  Guidotti, Coscia, M., Pedreschi, D., and Pennacchioli, D., ?Behavioral Entropy and Profitability in Retail?, in IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), Paris, 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.

G.  Rossetti, Guidotti, R., Pennacchioli, D., Pedreschi, D., and Giannotti, F., ?Interaction Prediction in Dynamic Networks exploiting Community Discovery?, in International conference on Advances in Social Network Analysis and Mining, ASONAM 2015, Paris, France, 2015.

A.  Botea, Braghin, S., Lopes, N., Guidotti, R., and Pratesi, F., ?Managing travels with PETRA: The Rome use case?, in 2015 31st IEEE International Conference on Data Engineering Workshops (ICDEW), 2015.

M.  Berlingerio, Bicer, V., Botea, A., Braghin, S., Lopes, N., Guidotti, R., and Pratesi, F., ?Mobility Mining for Journey Planning in Rome?, in Machine Learning and Knowledge Discovery in Databases, 2015.

R.  Guidotti, Sassi, A., Berlingerio, M., Pascale, A., and Ghaddar, B., ?Social or green? A data-driven approach for more enjoyable carpooling?, in Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on, 2015.

R.  Guidotti, Trasarti, R., and Nanni, M., ?{TOSCA:} two-steps clustering algorithm for personal locations detection?, in Proceedings of the 23rd {SIGSPATIAL} International Conference on Advances in Geographic Information Systems, Bellevue, WA, USA, November 3-6, 2015, 2015.

R.  Guidotti and Cintia, P., ?Towards a Boosted Route Planner Using Individual Mobility Models?, in Software Engineering and Formal Methods, Springer Berlin Heidelberg, 2015, pp. 108?123.

R.  Guidotti, Trasarti, R., Nanni, M., and Giannotti, F., ?Towards user-centric data management: individual mobility analytics for collective services?, in Proceedings of the 4th {ACM} {SIGSPATIAL} International Workshop on Mobile Geographic Information Systems, MobiGIS 2015, Bellevue, WA, USA, November 3-6, 2015, 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.

R.  Guidotti, ?Mobility Ranking - Human Mobility Analysis Using Ranking Measures?, 2013.