Katherine E. Brown

According to our database, Katherine E. Brown authored at least 12 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Large language models are less effective at clinical prediction tasks than locally trained machine learning models.

Katherine E. Brown, Chao Yan, Zhuohang Li, Xinmeng Zhang, Benjamin X. Collins, You Chen, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin

J. Am. Medical Informatics Assoc., 2025

2024

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, May, 2024

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

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

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

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

2022

Using Explainable AI to Measure Feature Contribution to Uncertainty.

Katherine E. Brown, Douglas A. Talbert

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression.

Katherine E. Brown, Douglas A. Talbert

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021

The Uncertainty of Counterfactuals in Deep Learning.

Katherine E. Brown, Douglas A. Talbert, Steve Talbert

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020

Uncertainty Quantification in Multimodal Ensembles of Deep Learners.

Katherine E. Brown, Farzana Ahamed Bhuiyan, Douglas A. Talbert

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

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

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2019

Estimating Uncertainty in Deep Image Classification.

Katherine E. Brown, Douglas A. Talbert

Proceedings of the AMIA 2019, 2019

Heuristically Reducing the Cost of Correlation-based Feature Selection.

Katherine E. Brown, Douglas A. Talbert

Proceedings of the 2019 ACM Southeast Conference, 2019

2018

Multi-Task Correlation-Based Feature Selection for Gene Expression Data.

Katherine E. Brown, Douglas A. Talbert

Proceedings of the AMIA 2018, 2018