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Journal Article
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., “Spatio-Temporal Data”, Spatio-Temporal Databases: Flexible Querying and Reasoning, p. 75, 2013.
F. Giannotti, Manco, G., and Turini, F., “Specifying Mining Algorithms with Iterative User-Defined Aggregates”, IEEE Trans. Knowl. Data Eng., vol. 16, pp. 1232-1246, 2004.
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.
V. Grossi, Romei, A., and Turini, F., “Survey on using constraints in data mining”, Data Mining and Knowledge Discovery, vol. 31, pp. 424–464, 2017.
F. Giannotti, Matteucci, A., Pedreschi, D., and Turini, F., “Symbolic Evaluation with Structural Recursive Symbolic Constants”, Sci. Comput. Program., vol. 9, pp. 161-177, 1987.
V. Ambriola, Giannotti, F., Pedreschi, D., and Turini, F., “Symbolic Semantics and Program Reduction”, IEEE Trans. Software Eng., vol. 11, pp. 784-794, 1985.
R. Barbuti, Mancarella, P., Pedreschi, D., and Turini, F., “A Transformational Approach to Negation in Logic Programming”, J. Log. Program., vol. 8, pp. 201-228, 1990.
D. Aquilino, Asirelli, P., Formuso, A., Renso, C., and Turini, F., “Using Medlan to Integrate Geographical Data”, Journal of Logic Programming, pp. 3–14, 2000.
D. Aquilino, Asirelli, P., Formuso, A., Renso, C., and Turini, F., “Using MedLan to Integrate Geographical Data”, J. Log. Program., vol. 43, pp. 3-14, 2000.
Miscellaneous
P. Mukala, Cerone, A., and Turini, F., “An exploration of learning processes as process maps in FLOSS repositories”. 2015.
Report
R. Guidotti, Monreale, A., Ruggieri, S., Pedreschi, D., Turini, F., and Giannotti, F., “Local Rule-Based Explanations of Black Box Decision Systems”, 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.

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