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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.
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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. 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.
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.
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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.
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S. Ruggieri, “Enumerating Distinct Decision Trees”, in International Conference on Machine Learning, 2017.
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.
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.
G. Rossetti, “Exorcising the Demon: Angel, Efficient Node-Centric Community Discovery”, in International Conference on Complex Networks and Their Applications, 2019.
S. Rinzivillo and Turini, F., “Extracting spatial association rules from spatial transactions”, in ACM GIS, 2005, pp. 79-86.
A. Raffaetà, Turini, F., and Renso, C., “Enhancing GISs for spatio-temporal reasoning”, in ACM-GIS, 2002, pp. 42-48.
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D. Pennacchioli, Coscia, M., Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Explaining the PRoduct Range Effect in Purchase Data”, IEEE Big Data. 2013.
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.
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.
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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.
F. Naretto, Pellungrini, R., Fadda, D., and Rinzivillo, S., “EXPHLOT: EXplainable Privacy assessment for Human LOcation Trajectories”, in Discovery Science , 2023.
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.
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P. Mukala, Cerone, A., and Turini, F., “An exploration of learning processes as process maps in FLOSS repositories”. 2015.
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.
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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.
O. Lampridis, Guidotti, R., and Ruggieri, S., “Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars”, in Discovery Science, Cham, 2020.
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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.
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.
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.
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.

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