S
Salvatore Ruggieri
Researcher at University of Pisa
Publications - 108
Citations - 7206
Salvatore Ruggieri is an academic researcher from University of Pisa. The author has contributed to research in topics: Logic programming & Decision tree. The author has an hindex of 25, co-authored 107 publications receiving 5091 citations. Previous affiliations of Salvatore Ruggieri include Istituto di Scienza e Tecnologie dell'Informazione.
Papers
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Journal ArticleDOI
A Survey of Methods for Explaining Black Box Models
Riccardo Guidotti,Anna Monreale,Salvatore Ruggieri,Franco Turini,Fosca Giannotti,Dino Pedreschi +5 more
TL;DR: In this paper, the authors provide a classification of the main problems addressed in the literature with respect to the notion of explanation and the type of black box decision support systems, given a problem definition, a black box type, and a desired explanation, this survey should help the researcher to find the proposals more useful for his own work.
Proceedings ArticleDOI
Discrimination-aware data mining
TL;DR: This approach leads to a precise formulation of the redlining problem along with a formal result relating discriminatory rules with apparently safe ones by means of background knowledge, and an empirical assessment of the results on the German credit dataset.
Journal ArticleDOI
Efficient C4.5 [classification algorithm]
TL;DR: An analytic evaluation of the runtime behavior of the C4.5 algorithm is presented which highlights some efficiency improvements and a more efficient version of the algorithm is implemented, called EC 4.5.
Posted Content
Local Rule-Based Explanations of Black Box Decision Systems.
Riccardo Guidotti,Anna Monreale,Salvatore Ruggieri,Dino Pedreschi,Franco Turini,Fosca Giannotti +5 more
TL;DR: This paper proposes LORE, an agnostic method able to provide interpretable and faithful explanations for black box outcome explanation, and shows that LORE outperforms existing methods and baselines both in the quality of explanations and in the accuracy in mimicking the black box.
Journal ArticleDOI
A multidisciplinary survey on discrimination analysis
Andrea Romei,Salvatore Ruggieri +1 more
TL;DR: This survey is to provide a guidance and a glue for researchers and anti-discrimination data analysts on concepts, problems, application areas, datasets, methods, and approaches from a multidisciplinary perspective.