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From SHAP Scores to Feature Importance Scores

From SHAP Scores to Feature Importance Scores

Olivier Letoffe
Xuanxiang Huang
Nicholas M. Asher
Sasha Rubin
    FAtt
ArXiv (abs)PDFHTML

Papers citing "From SHAP Scores to Feature Importance Scores"

3 / 3 papers shown
Title
Logic-Based Explainability in Machine Learning
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRMXAI
117
40
0
24 Oct 2022
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
293
2,267
0
24 Jun 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
22,090
0
22 May 2017

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