SHapley Additive exPlanations, more commonly known as SHAP, is used to explain the output of Machine Learning models. It is based on Shapley values, which
A gentle introduction to SHAP values in R
PDF] Explainable deepfake and spoofing detection: an attack analysis using SHapley Additive exPlanations
Understanding SHAP for Interpretable Machine Learning, by Chau Pham
Explainable Machine Learning, Game Theory, and Shapley Values: A
Automated biomarker candidate discovery in imaging mass spectrometry data through spatially localized Shapley additive explanations - ScienceDirect
8 Shapley Additive Explanations (SHAP) for Average Attributions
Sensors, Free Full-Text
SHAP values for beginners What they mean and their applications
Using SHAP values to explain and enhance Machine Learning models
Variable importance analysis using Shapley Additive Explanations
Future Internet, Free Full-Text
shapley-additive-explanations · GitHub Topics · GitHub
SHapley Additive exPlanations (SHAP) importance plots for the mortality
