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Filters: Author is Salvatore Ruggieri  [Clear All Filters]
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A
S. Ruggieri, Hajian, S., Kamiran, F., and Zhang, X., “Anti-discrimination analysis using privacy attack strategies”, in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2014.
R. Guidotti and Ruggieri, S., “Assessing the Stability of Interpretable Models”, arXiv preprint arXiv:1810.09352, 2018.
A. Pugnana and Ruggieri, S., “AUC-based Selective Classification”, in International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain, 2023.
B
E. Ntoutsi, Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M. - E., Ruggieri, S., Turini, F., Papadopoulos, S., Krasanakis, E., and others, “Bias in data-driven artificial intelligence systems—An introductory survey”, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 10, p. e1356, 2020.
S. Bergamaschi, Carlini, E., Ceci, M., Furletti, B., Giannotti, F., Malerba, D., Mezzanzanica, M., Monreale, A., Pasi, G., Pedreschi, D., Perego, R., and Ruggieri, S., “Big Data Research in Italy: A Perspective”, Engineering, vol. 2, p. 163, 2016.
D. Pedreschi and Ruggieri, S., “Bounded Nondeterminism of Logic Programs”, in ICLP, 1999, pp. 350-364.
D. Pedreschi and Ruggieri, S., “Bounded Nondeterminism of Logic Programs”, Ann. Math. Artif. Intell., vol. 42, pp. 313-343, 2004.
C
D. Pedreschi and Ruggieri, S., “A Case Study in Logic Program Verification: the Vanilla Metainterpreter”, in GULP-PRODE, 1995, pp. 643-654.
V. Grossi, Romei, A., and Ruggieri, S., “A Case Study in Sequential Pattern Mining for IT-Operational Risk”, in ECML/PKDD (1), 2008, pp. 424-439.
B. Qureshi, Kamiran, F., Karim, A., and Ruggieri, S., “Causal Discrimination Discovery Through Propensity Score Analysis”, arXiv preprint arXiv:1608.03735, 2016.
B. Qureshi, Kamiran, F., Karim, A., Ruggieri, S., and Pedreschi, D., “Causal inference for social discrimination reasoning”, Journal of Intelligent Information Systems, pp. 1–13, 2019.
B. Qureshi, Kamiran, F., Karim, A., Ruggieri, S., and Pedreschi, D., “Causal inference for social discrimination reasoning”, vol. 54, pp. 425 - 437, 2020.
D. Pedreschi, Ruggieri, S., and Smaus, J. - G., “Characterisations of Termination in Logic Programming”, in Program Development in Computational Logic, 2004, pp. 376-431.
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. Thanh Luong, Ruggieri, S., and Turini, F., “Classification Rule Mining Supported by Ontology for Discrimination Discovery”, in Data Mining Workshops (ICDMW), 2016 IEEE 16th International Conference on, 2016.
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
S. Ruggieri, “Data Anonymity Meets Non-discrimination”, in Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on, 2013.
F. Bonchi, Giannotti, F., Manco, G., Renso, C., Nanni, M., Pedreschi, D., and Ruggieri, S., “Data Mining for Intelligent Web Caching”, in ITCC, 2001, pp. 599-603.
F. Bonchi, Giannotti, F., Manco, G., Renso, C., Nanni, M., Pedreschi, D., and Ruggieri, S., “Data Mining for Intelligent Web Caching”, in ITCC, 2001, pp. 599-603.
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.
D. Pedreschi, Ruggieri, S., and Turini, F., “The discovery of discrimination”, in Discrimination and privacy in the information society, Springer, 2013, pp. 91–108.
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.
D. Pedreschi, Ruggieri, S., and Turini, F., “Discrimination-aware data mining”, in KDD, 2008, pp. 560-568.
E
A. Baroni, Conte, A., Patrignani, M., and Ruggieri, S., “Efficiently Clustering Very Large Attributed Graphs”, arXiv preprint arXiv:1703.08590, 2017.

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