The many Shapley values for explainable artificial intelligence: A sensitivity analysis perspective-Reference-Cited by-同舟云学术

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The many Shapley values for explainable artificial intelligence: A sensitivity analysis perspective

Published:2024-11 Issue:3 Volume:318 Page:911-926
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Borgonovo Emanuele^ORCID,Plischke Elmar^ORCID,Rabitti Giovanni^ORCID

Publisher

Elsevier BV

Reference100 articles.

1. Explaining individual predictions when features are dependent: More accurate approximations to Shapley values;Aas,2019

2. What makes accidents severe! explainable analytics framework with parameter optimization;Ahmed;European Journal of Operational Research,2024

3. How to Explain Individual Classification Decisions;Baehrens;Journal of Machine Learning Research,2010

4. Properties and comparison of risk capital allocation methods;Balog;European Journal of Operational Research,2017

5. Invariant Probabilistic Sensitivity Analysis;Baucells;Management Science,2013

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