Generalized SHAP: Generating multiple types of explanations in machine
learning

v1v2 (latest)

Generalized SHAP: Generating multiple types of explanations in machine learning

12 June 2020

ArXiv (abs)PDF HTML

Papers citing "Generalized SHAP: Generating multiple types of explanations in machine learning"

5 / 5 papers shown

Title
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 93 2 0 15 Feb 2024
Glocal Explanations of Expected Goal Models in Soccer Mustafa Cavus Adrian Stando P. Biecek 77 4 0 29 Aug 2023
Measuring the Driving Forces of Predictive Performance: Application to Credit Scoring Hué Sullivan Hurlin Christophe Pérignon Christophe Saurin Sébastien 112 0 0 12 Dec 2022
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data Lev V. Utkin A. Konstantinov Kirill Vishniakov FAtt 113 6 0 16 Jun 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 59 21 0 04 Mar 2021