Multi-Task Correlation-Based Feature Selection for Gene Expression Data. - Katherine E. Brown; Douglas A. Talbert (AMIA, 2018)

Heuristically Reducing the Cost of Correlation-based Feature Selection. - Katherine E. Brown; Douglas A. Talbert (ACM Southeast Regional Conference, 2019)

Estimating Uncertainty in Deep Image Classification. - Katherine E. Brown; Douglas A. Talbert (AMIA, 2019)

Assessing Modality Selection Heuristics to Improve Multimodal Machine Learning for Malware Detection. - Farzana Ahamed Bhuiyan; Katherine E. Brown; Md Bulbul Sharif; Quentin D. Johnson; Douglas A. Talbert (FLAIRS, 2020)

Uncertainty Quantification in Multimodal Ensembles of Deep Learners. - Katherine E. Brown; Farzana Ahamed Bhuiyan; Douglas A. Talbert (FLAIRS, 2020)

The Uncertainty of Counterfactuals in Deep Learning. - Katherine E. Brown; Douglas A. Talbert; Steve Talbert (FLAIRS, 2021)

A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression. - Katherine E. Brown; Douglas A. Talbert (FLAIRS, 2022)

Using Explainable AI to Measure Feature Contribution to Uncertainty. - Katherine E. Brown; Douglas A. Talbert (FLAIRS, 2022)

Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat. - Mateo Gannod; Nicholas Masto; Collins Owusu; Cory Highway; Katherine E. Brown; Abigail Blake-Bradshaw; Jamie Feddersen; Heath Hagy; Douglas A. Talbert; Bradley Cohen (FLAIRS, 2023)

Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models. - Katherine L. Phillips; Katherine E. Brown; Steve Talbert; Douglas A. Talbert (FLAIRS, 2023)

Assessing and Addressing Model Trustworthiness Trade-offs in Trauma Triage. - Douglas A. Talbert; Katherine L. Phillips; Katherine E. Brown; Steve Talbert (Int. J. Artif. Intell. Tools, 2024)

Large language models are less effective at clinical prediction tasks than locally trained machine learning models. - Katherine E. Brown; Chao Yan 004; Zhuohang Li; Xinmeng Zhang; Benjamin X. Collins; You Chen 001; Ellen Wright Clayton; Murat Kantarcioglu; Yevgeniy Vorobeychik; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2025)