On Efficiently Explaining Graph-Based Classifiers

2 June 2021

Papers citing "On Efficiently Explaining Graph-Based Classifiers"

8 / 8 papers shown

Title
Logic for Explainable AI Adnan Darwiche 30 8 0 09 May 2023
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 47 39 0 24 Oct 2022
Computing Abductive Explanations for Boosted Trees Gilles Audemard Jean-Marie Lagniez Pierre Marquis N. Szczepanski 26 12 0 16 Sep 2022
On Computing Relevant Features for Explaining NBCs Yacine Izza Sasha Rubin 28 5 0 11 Jul 2022
Rectifying Mono-Label Boolean Classifiers S. Coste-Marquis Pierre Marquis 32 0 0 17 Jun 2022
On the Computation of Necessary and Sufficient Explanations Adnan Darwiche Chunxi Ji FAtt 13 19 0 20 Mar 2022
Model Interpretability through the Lens of Computational Complexity Pablo Barceló Mikaël Monet Jorge A. Pérez Bernardo Subercaseaux 121 94 0 23 Oct 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017