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O
D. Aquilino, Asirelli, P., Renso, C., and Turini, F., “An Operator for Composing Deductive Databases with Theories of Constraints”, pp. 57–70, 1995.
D. Aquilino, Asirelli, P., Renso, C., and Turini, F., “An Operator for Composing Deductive Databases with Theories of Constraints”, in LPNMR, 1995, pp. 57-70.
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.
F. Turini, Furletti, B., Baglioni, M., Spinsanti, L., and Bellandi, A., “Ontology-Based Business Plan Classification”, in Enterprise Distributed Object Computing Conference (EDOC), 2008.
M. Baglioni, Bellandi, A., Furletti, B., Spinsanti, L., and Turini, F., “Ontology-Based Business Plan Classification”, in EDOC, 2008, pp. 365-371.
P. Mukala, Cerone, A., and Turini, F., “Ontolifloss: Ontology for learning processes in FLOSS communities”, in International Conference on Software Engineering and Formal Methods, 2014.
N
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., “\newblock{A Declarative Framework for Reasoning on Spatio-temporal Data}”, 2004.
M
A. Brogi, Mancarella, P., Pedreschi, D., and Turini, F., “Modular Logic Programming”, ACM Trans. Program. Lang. Syst., vol. 16, pp. 1361-1398, 1994.
F. Giannotti, Pedreschi, D., and Turini, F., “Mobility, Data Mining and Privacy the Experience of the GeoPKDD Project”, in PinKDD, 2008, pp. 25-32.
P. Mukala, Cerone, A., and Turini, F., “Mining learning processes from FLOSS mailing archives”, in Conference on e-Business, e-Services and e-Society, 2015.
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., Curcio, M., Giannotti, F., and Turini, F., “Mining Clinical, Immunological, and Genetic Data of Solid Organ Transplantation”, in Biomedical Data and Applications, 2009, pp. 211-236.
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.
L
A. Brogi, Mancarella, P., Pedreschi, D., and Turini, F., “Logic Programming within a Functional Framework”, in PLILP, 1990, pp. 372-386.
R. Guidotti, Monreale, A., Ruggieri, S., Pedreschi, D., Turini, F., and Giannotti, F., “Local Rule-Based Explanations of Black Box Decision Systems”, 2018.
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.
K
B. Furletti and Turini, F., “Knowledge Discovery in Ontologies”, Intelligent Data Analysis, vol. 16, 2012.
S. Rinzivillo and Turini, F., “Knowledge discovery from spatial transactions”, Journal of Intelligent Information Systems, vol. 28, pp. 1-22, 2007.
S. Rinzivillo, Turini, F., Bogorny, V., Körner, C., Kuijpers, B., and May, M., “Knowledge Discovery from Geographical Data”, in Mobility, Data Mining and Privacy, 2008, pp. 243-265.
S. Ruggieri and Turini, F., “A KDD process for discrimination discovery”, in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2016.
I
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.

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