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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.
G. Mauro, Luca, M., Longa, A., Lepri, B., and Pappalardo, L., Generating mobility networks with generative adversarial networks, EPJ data science, vol. 11, p. 58, 2022.
G. Andrienko, Andrienko, N., Giannotti, F., Monreale, A., Pedreschi, D., and Rinzivillo, S., A Generalisation-based Approach to Anonymising Movement Data, 13th AGILE conference on Geographic Information Science. 2010.
F. Giannotti and Latella, D., Gate Splitting in LOTOS Specifications Using Abstract Interpretation, Sci. Comput. Program., vol. 23, pp. 127-149, 1994.
F. Giannotti and Latella, D., Gate Splitting in LOTOS Specifications Using Abstract Interpretation, in TAPSOFT, 1993, pp. 437-452.
I. Martinucci, Natilli, M., Lorenzoni, V., Pappalardo, L., Monreale, A., Turchetti, G., Pedreschi, D., Marchi, S., Barale, R., and de Bortoli, N., Gastroesophageal reflux symptoms among Italian university students: epidemiology and dietary correlates using automatically recorded transactions, BMC gastroenterology, vol. 18, p. 116, 2018.
F
G. Andrienko, Andrienko, N., Hurter, C., Rinzivillo, S., and Wrobel, S., From Movement Tracks through Events to Places: Extracting and Characterizing Significant Places from Mobility Data, IEEE Conference on Visual Analytics Science and Technology. 2011.
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.
G. Aliyev and Nanni, M., From GPS Traces to Individual Emission Exposure: A Data-Driven Four-Step Process, in Intelligent Transport Systems, Cham, 2025.
F. Bonchi, Giannotti, F., and Pedreschi, D., Frequent Pattern Queries for Flexible Knowledge Discovery, in SEBD, 2004, pp. 250-261.
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. 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.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., Foundations of Multidimensional Network Analysis, in ASONAM, 2011, pp. 485-489.
M. Fayzullin, Nanni, M., Pedreschi, D., and Subrahmanian, V. S., Foundations of distributed interaction systems, Ann. Math. Artif. Intell., vol. 28, pp. 127-168, 2000.
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.
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., and Giannotti, F., Finding and Characterizing Communities in Multidimensional Networks, in ASONAM, 2011, pp. 490-494.
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.
R. Pellungrini, Pappalardo, L., Pratesi, F., and Monreale, A., Fast Estimation of Privacy Risk in Human Mobility Data. 2017.
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.
, Fair Federated Learning methodology based on Multi-Objective Optimization, Submitted at JAIR, 2023.
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.

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