Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types. - David M. Reif; Alison A. Motsinger; Brett A. McKinney; James E. Crowe Jr.; Jason H. Moore (CIBCB, 2006)

Evaporative cooling feature selection for genotypic data involving interactions. - Brett A. McKinney; David M. Reif; Bill C. White; James E. Crowe Jr.; Jason H. Moore (Bioinform., 2007)

Alternative contingency table measures improve the power and detection of multifactor dimensionality reduction. - William S. Bush; Todd L. Edwards; Scott M. Dudek; Brett A. McKinney; Marylyn D. Ritchie (BMC Bioinform., 2008)

Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS. - Nicholas A. Davis; Ahwan Pandey; Brett A. McKinney (Bioinform., 2011)

Mathematical Modeling of Patient Care. - Philip Crooke; John Hotchkiss; Yongwimon Lenbury; Brett A. McKinney (Comput. Math. Methods Medicine, 2012)

Using a shared, remote cluster for teaching HPC. - Clay Carley; Larry Sells; Brett A. McKinney; Chao Zhao; Henry Neeman (CLUSTER, 2013)

Differential co-expression network centrality and machine learning feature selection for identifying susceptibility hubs in networks with scale-free structure. - Caleb A. Lareau; Bill C. White; Ann L. Oberg; Brett A. McKinney (BioData Min., 2015)

Differential privacy-based evaporative cooling feature selection and classification with relief-F and random forests. - Trang T. Le; W. Kyle Simmons; Masaya Misaki; Jerzy Bodurka; Bill C. White; Jonathan Savitz; Brett A. McKinney (Bioinform., 2017)

Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWAS. - M. Arabnejad; Bryan A. Dawkins; William S. Bush; Bill C. White; A. R. Harkness; Brett A. McKinney (BioData Min., 2018)

STatistical Inference Relief (STIR) feature selection. - Trang T. Le; Ryan J. Urbanowicz; Jason H. Moore; Brett A. McKinney (Bioinform., 2019)

EpistasisRank and EpistasisKatz: interaction network centrality methods that integrate prior knowledge networks. - Saeid Parvandeh; Brett A. McKinney (Bioinform., 2019)

Nearest-neighbor Projected-Distance Regression (NPDR) for detecting network interactions with adjustments for multiple tests and confounding. - Trang T. Le; Bryan A. Dawkins; Brett A. McKinney (Bioinform., 2020)

Consensus features nested cross-validation. - Saeid Parvandeh; Hung-Wen Yeh; Martin P. Paulus; Brett A. McKinney (Bioinform., 2020)

Improving the Expected Performance of Self-Organization in a Collective Adaptive System of Drones using Stochastic Multiplayer Games. - Ian Riley; Brett A. McKinney; Rose F. Gamble (HICSS, 2022)

Estimating Foraging Values and Costs in Stack Overflow. - Abim Sedhain; Sruti Srinivasa Ragavan; Brett A. McKinney; Sandeep Kaur Kuttal (VL/HCC, 2022)

Modeling Foraging Behavior in GitHub. - Abim Sedhain; Yao Wang; Brett A. McKinney; Sandeep Kaur Kuttal (HCI (45), 2023)

Optimizing Neuro-Fuzzy and Colonial Competition Algorithms for Skin Cancer Diagnosis in Dermatoscopic Images. - Hamideh Khaleghpour; Brett A. McKinney (ICICT, 2024)

Predicting Information Foraging on Q&A Websites. - Abim Sedhain; Sruti Srinivasa Ragavan; Brett A. McKinney; Shahnewaz Leon; Sandeep Kaur Kuttal (HCI (22), 2025)

Unveiling Value-Cost Dynamics in StackOverflow with IFT-Enhanced Clustering. - Abim Sedhain; Sruti Srinivasa Ragavan; Brett A. McKinney; Shahnewaz Leon; Sandeep Kaur Kuttal (HCI (62), 2025)

Science Autonomy using Machine Learning for Astrobiology. - Victoria DaPoian; Bethany Theiling; Eric Lyness; David Burtt; Abigail Azari; Joey Pasterski; Luoth Chou; Melissa Trainer; Ryan Danell; Desmond Kaplan; Xiang Li; Lily Clough; et al. (CoRR, 2025)

Unified AI for Accurate Audio Anomaly Detection. - Hamideh Khaleghpour; Brett A. McKinney (CoRR, 2025)