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B. Bertolino, Meo, L., Pedreschi, D., and Turini, F., The Type System of LML. 1992, pp. 313-332.
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, Renso, C., and Turini, F., Towards Declarative GIS Analysis, in ACM-GIS, 1996, pp. 98-104.
D. Aquilino, Renso, C., and Turini, F., Towards {D}eclarative {GIS} {A}nalysis, 1996, pp. 99–105.
F. Giannotti, Manco, G., and Turini, F., Towards a Logic Query Language for Data Mining, in Database Support for Data Mining Applications, 2004, pp. 76-94.
M. Baglioni, Furletti, B., and Turini, F., A Tool for Economic Plans analysis based on expert knowledge and data mining techniques, in IADIS International Conference Applied Computing 2006 , 2006.
M. Berlingerio, Bonchi, F., Giannotti, F., and Turini, F., Time-Annotated Sequences for Medical Data Mining, in ICDM Workshops, 2007, pp. 133-138.
A. Brogi, Mancarella, P., Pedreschi, D., and Turini, F., Theory Construction in Computational Logic, in ICLP Workshop on Construction of Logic Programs, 1991, pp. 241-250.
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V. Ambriola, Giannotti, F., Pedreschi, D., and Turini, F., Symbolic Semantics and Program Reduction, IEEE Trans. Software Eng., vol. 11, pp. 784-794, 1985.
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. Grossi, Romei, A., and Turini, F., Survey on using constraints in data mining, Data Mining and Knowledge Discovery, vol. 31, pp. 424–464, 2017.
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.
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.
F. Giannotti, Manco, G., and Turini, F., Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study, in PKDD, 2001, pp. 128-139.
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., Spatio-Temporal Data, Spatio-Temporal Databases: Flexible Querying and Reasoning, p. 75, 2013.

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