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Journal Article
F. Bonchi, Giannotti, F., Gozzi, C., Manco, G., Nanni, M., Pedreschi, D., Renso, C., and Ruggieri, S., Web log data warehousing and mining for intelligent web caching, Data Knowl. Eng., vol. 39, pp. 165-189, 2001.
F. Bonchi, Giannotti, F., Gozzi, C., Manco, G., Nanni, M., Pedreschi, D., Renso, C., and Ruggieri, S., Web Log Data Warehousing and Mining for Intelligent Web Caching, Data and Knowledge Engineering, 2001.
F. Bonchi, Giannotti, F., Gozzi, C., Manco, G., Nanni, M., Pedreschi, D., Renso, C., and Ruggieri, S., Web log data warehousing and mining for intelligent web caching, Data Knowl. Eng., vol. 39, pp. 165-189, 2001.
D. Pedreschi and Ruggieri, S., Weakest Preconditions for Pure Prolog Programs, Inf. Process. Lett., vol. 67, pp. 145-150, 1998.
D. Pedreschi and Ruggieri, S., Verification of Meta-Interpreters, J. Log. Comput., vol. 7, pp. 267-303, 1997.
D. Pedreschi and Ruggieri, S., Verification of Logic Programs, J. Log. Program., vol. 39, pp. 125-176, 1999.
S. Ruggieri, Using t-closeness anonymity to control for non-discrimination., Trans. Data Privacy, vol. 7, pp. 99–129, 2014.
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.
A. Baroni and Ruggieri, S., Segregation discovery in a social network of companies, Journal of Intelligent Information Systems, 2017.
P. Eirinakis, Ruggieri, S., Subramani, K., and Wojciechowski, P., On quantified linear implications, Annals of Mathematics and Artificial Intelligence, vol. 71, pp. 301–325, 2014.
A. Romei and Ruggieri, S., A multidisciplinary survey on discrimination analysis, The Knowledge Engineering Review, vol. 29, pp. 582–638, 2014.
C. Renso and Ruggieri, S., A Mediator Approach for Representing Knowledge, Intelligent Multimedia Presentation Systems. Human Computer Interaction Letters, 1 (1): 32-38, April 1998., 1998.
D. Pedreschi and Ruggieri, S., On Logic Programs That Do Not Fail, Electr. Notes Theor. Comput. Sci., vol. 30, 1999.
D. Pedreschi and Ruggieri, S., On logic programs that always succeed, Sci. Comput. Program., vol. 48, pp. 163-196, 2003.
S. Ruggieri, Introduction to the special issue on Artificial Intelligence for Society and Economy, Intelligenza Artificiale, vol. 9, pp. 23–23, 2015.
S. Mascetti, Ricci, A., and Ruggieri, S., Introduction to special issue on computational methods for enforcing privacy and fairness in the knowledge society, Artificial Intelligence and Law, vol. 22, pp. 109–111, 2014.
A. Baroni, Conte, A., Patrignani, M., and Ruggieri, S., Efficiently Clustering Very Large Attributed Graphs, arXiv preprint arXiv:1703.08590, 2017.
A. Romei, Ruggieri, S., and Turini, F., Discrimination discovery in scientific project evaluation: A case study, Expert Systems with Applications, vol. 40, pp. 6064–6079, 2013.
M. Aldinucci, Ruggieri, S., and Torquati, M., Decision tree building on multi-core using FastFlow, Concurrency and Computation: Practice and Experience, vol. 26, pp. 800–820, 2014.
S. Ruggieri, Eirinakis, P., Subramani, K., and Wojciechowski, P., On the complexity of quantified linear systems, Theoretical Computer Science, vol. 518, pp. 128–134, 2014.
D. Pedreschi, Ruggieri, S., and Smaus, J. - G., Classes of Terminating Logic Programs, CoRR, vol. cs.LO/0106, 2001.
D. Pedreschi, Ruggieri, S., and Smaus, J. - G., Classes of terminating logic programs, TPLP, vol. 2, pp. 369-418, 2002.
B. Qureshi, Kamiran, F., Karim, A., and Ruggieri, S., Causal Discrimination Discovery Through Propensity Score Analysis, arXiv preprint arXiv:1608.03735, 2016.

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