Shapley variable importance clouds for interpretable machine learning

Shapley variable importance clouds for interpretable machine learning

6 October 2021

Bibhas Chakraborty

Papers citing "Shapley variable importance clouds for interpretable machine learning"

5 / 5 papers shown

Title
Evaluating AI fairness in credit scoring with the BRIO tool Greta Coraglia Francesco Genco Pellegrino Piantadosi Enrico Bagli Pietro Giuffrida Davide Posillipo Giuseppe Primiero 29 1 0 05 Jun 2024
A Guide to Feature Importance Methods for Scientific Inference F. K. Ewald Ludwig Bothmann Marvin N. Wright B. Bischl Giuseppe Casalicchio Gunnar Konig 28 10 0 19 Apr 2024
Hypothesis Testing and Machine Learning: Interpreting Variable Effects in Deep Artificial Neural Networks using Cohen's f2 Wolfgang Messner CML 8 12 0 02 Feb 2023
Shapley variable importance cloud for machine learning models Yilin Ning Mingxuan Liu Nan Liu FAtt TDI 30 1 0 16 Dec 2022
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study Yilin Ning Siqi Li M. Ong F. Xie Bibhas Chakraborty Daniel Ting Nan Liu FAtt 11 22 0 10 Jan 2022