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2019
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.
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.
A. Sirbu, Giannotti, F., Pedreschi, D., and Kertész, J., “Public opinion and Algorithmic bias”, ERCIM News, 2019.
A. Rauber, Trasarti, R., and Giannotti, F., “Transparency in Algorithmic Decision Making”, ERCIM News, 2019.
2018
L. Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., “Active and passive diffusion processes in complex networks”, Applied network science, vol. 3, p. 42, 2018.
L. Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., “Diffusive Phenomena in Dynamic Networks: a data-driven study”, in International Conference on Complex Networks CompleNet, Boston March 5-8 2018, 2018.
L. Gabrielli, Fadda, D., Rossetti, G., Nanni, M., Piccinini, L., Pedreschi, D., Giannotti, F., and Lattarulo, P., “Discovering Mobility Functional Areas: A Mobility Data Analysis Approach”, in International Workshop on Complex Networks, 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.
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.
G. Amato, Candela, L., Castelli, D., Esuli, A., Falchi, F., Gennaro, C., Giannotti, F., Monreale, A., Nanni, M., Pagano, P., Pappalardo, L., Pedreschi, D., Pratesi, F., Rabitti, F., Rinzivillo, S., Rossetti, G., Ruggieri, S., Sebastiani, F., and Tesconi, M., “How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science”, in A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, Springer International Publishing, 2018, pp. 287–306.
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., Ruggieri, S., Pedreschi, D., Turini, F., and Giannotti, F., “Local Rule-Based Explanations of Black Box Decision Systems”, 2018.
G. Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., “NDlib: a python library to model and analyze diffusion processes over complex networks”, International Journal of Data Science and Analytics, vol. 5, pp. 61–79, 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.
F. Pratesi, Monreale, A., Trasarti, R., Giannotti, F., Pedreschi, D., and Yanagihara, T., “PRUDEnce: a system for assessing privacy risk vs utility in data sharing ecosystems”, Transactions on Data Privacy, vol. 11, 2018.
F. Giannotti, Trasarti, R., Bontcheva, K., and Grossi, V., “SoBigData: Social Mining & Big Data Ecosystem”, in Companion of the The Web Conference 2018 on The Web Conference 2018, 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.
2017
B. Dong, Wang, H. Wendy, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., “Authenticated Outlier Mining for Outsourced Databases”, IEEE Transactions on Dependable and Secure Computing, 2017.
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.
G. Rossetti, Milli, L., Giannotti, F., and Pedreschi, D., “Forecasting success via early adoptions analysis: A data-driven study”, PloS one, vol. 12, p. e0189096, 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.
L. Candela, Manghi, P., Giannotti, F., Grossi, V., and Trasarti, R., “HyWare: a HYbrid Workflow lAnguage for Research E-infrastructures”, D-Lib Magazine, vol. 23, 2017.
L. Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., “Information diffusion in complex networks: The active/passive conundrum”, in International Workshop on Complex Networks and their Applications, 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.

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