A
Anna Monreale
Researcher at University of Pisa
Publications - 110
Citations - 6369
Anna Monreale is an academic researcher from University of Pisa. The author has contributed to research in topics: Computer science & Information privacy. The author has an hindex of 24, co-authored 95 publications receiving 4458 citations. Previous affiliations of Anna Monreale include National Research Council & 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
WhereNext: a location predictor on trajectory pattern mining
TL;DR: This paper proposes WhereNext, which is a method aimed at predicting with a certain level of accuracy the next location of a moving object, which uses previously extracted movement patterns named Trajectory Patterns, which are a concise representation of behaviors of moving objects as sequences of regions frequently visited with a typical travel time.
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.
Posted Content
A Survey Of Methods For Explaining Black Box Models
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 system given a problem definition, a black box type, and a desired explanation.
Journal ArticleDOI
Factual and Counterfactual Explanations for Black Box Decision Making
Riccardo Guidotti,Anna Monreale,Fosca Giannotti,Dino Pedreschi,Salvatore Ruggieri,Franco Turini +5 more
TL;DR: A local rule-based explanation method, providing faithful explanations of the decision made by a black box classifier on a specific instance, outperforms existing approaches in terms of the quality of the explanations and of the accuracy in mimicking the black box.