PiML Toolbox for Interpretable Machine Learning Model Development and Diagnostics

7 May 2023

Papers citing "PiML Toolbox for Interpretable Machine Learning Model Development and Diagnostics"

3 / 3 papers shown

Title
dnamite: A Python Package for Neural Additive Models Mike Van Ness Madeleine Udell 41 0 0 06 Mar 2025
Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification Andrew Pangia Agus Sudjianto Aijun Zhang Taufiquar Khan FaML 29 1 0 24 Oct 2024
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization Shijie Cui Agus Sudjianto Aijun Zhang Runze Li AI4CE 33 11 0 26 Apr 2023