23 citations · 160 across the 50 of their papers we have counts for
60 papers
Databases with Missing Values that are Governed by Missingness Mechanisms
Leopoldo Bertossi, Farouk Toumani
We address the problems of giving a semantics to a relational database (RDB) that has missing values (MVs). The causes for the latter are governed by a Missingness Mechanism that i…
Reconciling Consistency-Based Diagnosis with Actual-Causality-Based Explanations
Leopoldo Bertossi
We establish, from the point of view of Explainable AI (XAI), connections between Consistency-Based Diagnosis (CBD), on one side, and Actual Causality and Causal Responsibility, on…
Database Querying under Missing Values Governed by Missingness Mechanisms
Leopoldo Bertossi, Farouk Toumani, Maxime Buron
We address the problems of giving a semantics to- and doing query answering (QA) on a relational database (RDB) that has missing values (MVs). The causes for the latter are governe…
Sufficient Explanations in Databases and their Connections to Database Repairs
Leopoldo Bertossi, Nina Pardal
We investigate the notion of sufficient explanation, and a sufficiency-degree as attribution score for database tuples in relation to query answering. We also investigate and explo…
The Shapley Value in Database Management
Leopoldo Bertossi, Benny Kimelfeld, Ester Livshits +1
Attribution scores can be applied in data management to quantify the contribution of individual items to conclusions from the data, as part of the explanation of what led to these…
The Distributional Uncertainty of the SHAP score in Explainable Machine Learning
Santiago Cifuentes, Leopoldo Bertossi, Nina Pardal +3
Attribution scores reflect how important the feature values in an input entity are for the output of a machine learning model. One of the most popular attribution scores is the SHA…