LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification. - Robert Zhang 004; Rachael Stolzenberg-Solomon; Shannon M. Lynch; Ryan J. Urbanowicz (CoRR, 2021)

STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison. - Ryan J. Urbanowicz; Robert Zhang 004; Yuhan Cui; Pranshu Suri (GPTP, 2022)

Assessing the limitations of relief-based algorithms in detecting higher-order interactions. - Philip J. Freda; Suyu Ye; Robert Zhang 004; Jason H. Moore; Ryan J. Urbanowicz (BioData Min., 2024)