Tractability of explaining classifier decisions-Reference-Cited by-同舟云学术

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Tractability of explaining classifier decisions

Published:2023-03 Issue: Volume:316 Page:103841
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Cooper Martin C.^ORCID,Marques-Silva João

Funder

ANR

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference70 articles.

1. A symbolic approach to explaining bayesian network classifiers;Shih,2018

2. Compiling bayesian network classifiers into decision graphs;Shih,2019

3. Abduction-based explanations for machine learning models;Ignatiev,2019

4. On relating explanations and adversarial examples;Ignatiev,2019

5. On the reasons behind decisions;Darwiche,2020

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On the failings of Shapley values for explainability;International Journal of Approximate Reasoning;2024-08

2. Learning Model Agnostic Explanations via Constraint Programming;Lecture Notes in Computer Science;2024

3. Disproving XAI Myths with Formal Methods – Initial Results;2023 27th International Conference on Engineering of Complex Computer Systems (ICECCS);2023-06-14

4. Logic-Based Explainability in Machine Learning;Reasoning Web. Causality, Explanations and Declarative Knowledge;2023

5. On the Relevance of Explanation for RDF Resources Similarity;Lecture Notes in Business Information Processing;2023

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