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Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review.

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Title: Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review.
Authors: Verma, Sahil1 (AUTHOR) vsahil@cs.washington.edu, Boonsanong, Varich1 (AUTHOR) varicb@cs.washington.edu, Hoang, Minh1 (AUTHOR) minh257@cs.washington.edu, Hines, Keegan2 (AUTHOR) keegan.hines@gmail.com, Dickerson, John2 (AUTHOR) john@arthur.ai, Shah, Chirag3 (AUTHOR) chirags@uw.edu
Source: ACM Computing Surveys. Dec2024, Vol. 56 Issue 12, p1-42. 42p.
Database: Business Source Ultimate
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  Data: Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review.
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  Data: <searchLink fieldCode="JN" term="%22ACM+Computing+Surveys%22">ACM Computing Surveys</searchLink>. Dec2024, Vol. 56 Issue 12, p1-42. 42p.
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              Text: Dec2024
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