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Conference Paper
B. Furletti and Turini, F., “Mining Influence Rules out of Ontologies”, in International Conference on Software and Data Technologies (ICSOFT), Siviglia, Spagna, 2011.
M. Berlingerio, Bonchi, F., Giannotti, F., and Turini, F., “Mining Clinical Data with a Temporal Dimension: A Case Study”, in BIBM, 2007, pp. 429-436.
A. Brogi, Mancarella, P., Pedreschi, D., and Turini, F., “Meta for Modularising Logic Programming”, in META, 1992, pp. 105-119.
D. Pedreschi, Ruggieri, S., and Turini, F., “Measuring Discrimination in Socially-Sensitive Decision Records”, in SDM, 2009, pp. 581-592.
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. Brogi, Mancarella, P., Pedreschi, D., and Turini, F., “Logic Programming within a Functional Framework”, in PLILP, 1990, pp. 372-386.
A. Romei, Ruggieri, S., and Turini, F., “The layered structure of company share networks”, in Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on, 2015.
P. Asirelli, Renso, C., and Turini, F., “Language Extensions for Semantic Integration of Deductive Databases”, in Logic in Databases, 1996, pp. 415-434.
S. Ruggieri and Turini, F., “A KDD process for discrimination discovery”, in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2016.
R. Barbuti, Mancarella, P., Pedreschi, D., and Turini, F., “Intensional Negation of Logic Programs: Examples and Implementation Techniques”, in TAPSOFT, Vol.2, 1987, pp. 96-110.
F. Giannotti, Manco, G., Nanni, M., Pedreschi, D., and Turini, F., “Integration of Deduction and Induction for Mining Supermarket Sales Data”, in SEBD, 1999, pp. 117-131.
D. Pedreschi, Ruggieri, S., and Turini, F., “Integrating induction and deduction for finding evidence of discrimination”, in ICAIL, 2009, pp. 157-166.
A. Brogi, Chiarelli, A., Mancarella, P., Mazzotta, V., Pedreschi, D., Renso, C., and Turini, F., “Implementations of Program Composition Operations”, in PLILP, 1994, pp. 292-307.
A. Brogi, Chiarelli, A., Mancarella, P., Mazzotta, V., Pedreschi, D., Renso, C., and Turini, F., “Implementations of Program Composition Operations”, in PLILP, 1994, pp. 292-307.
M. Setzu, Guidotti, R., Monreale, A., and Turini, F., “Global Explanations with Local Scoring”, in Machine Learning and Knowledge Discovery in Databases, Cham, 2020.
S. Rinzivillo and Turini, F., “Extracting spatial association rules from spatial transactions”, in ACM GIS, 2005, pp. 79-86.
F. Giannotti, Manco, G., Pedreschi, D., and Turini, F., “Experiences with a Logic-Based Knowledge Discovery Support Environment”, in AI*IA, 1999, pp. 202-213.
F. Giannotti, Manco, G., Pedreschi, D., and Turini, F., “Experiences with a Logic-based knowledge discovery Support Environment”, in 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1999.
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.
A. Raffaetà, Turini, F., and Renso, C., “Enhancing GISs for spatio-temporal reasoning”, in ACM-GIS, 2002, pp. 42-48.
M. Baglioni, Furletti, B., and Turini, F., “DrC4.5: Improving C4.5 by means of Prior Knowledge”, in ACM Symposium on Applied Computing, Santa Fe, New Mexico, USA, 2005.
D. Pedreschi, Ruggieri, S., and Turini, F., “Discrimination-aware data mining”, in KDD, 2008, pp. 560-568.
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., “Deductive and Inductive Reasoning on Trajectories”, in SEBD, 2004, pp. 98-105.
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., “Deductive and Inductive Reasoning on Spatio-Temporal Data”, in INAP/WLP, 2004, pp. 98-115.
P. Asirelli, Renso, C., and Turini, F., “The Constraint Operator of MedLan: Its Efficient Implementation and Use”, in IICIS, 1998, pp. 41-55.

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