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Silva et al., 2023 - Google Patents

Developing and Assessing a Human-Understandable Metric for Evaluating Local Interpretable Model-Agnostic Explanations.

Silva et al., 2023

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Document ID
81739617574650873
Author
Silva R
Sbrana A
de Castro P
Soma N
Publication year
Publication venue
International Journal of Intelligent Engineering & Systems

External Links

Snippet

Deep learning models, despite their potential, often function as “black boxes”, posing significant challenges to interpretability, particularly in sensitive fields such as healthcare and finance. Addressing this issue, we introduce a novel, human-understandable metric …
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Classifications

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