Katherine E. Brown

17 papers Misc 9Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance. J. Am. Medical Informatics Assoc. Katherine E. Brown, Jesse O. Wrenn, Nicholas J. Jackson, Michael R. Cauley, Benjamin X. Collins, Laurie L. Novak, Bradley A. Malin, Jessica S. Ancker
2026	J	`jnl`	Community medical centers struggle to produce well-calibrated clinical prediction models: Data augmentation can help. J. Biomed. Informatics Katherine E. Brown, Bradley A. Malin, Sharon E. Davis
2026	J	`jnl`	Gaps in artificial intelligence research for rural health in the United States: a scoping review. J. Am. Medical Informatics Assoc. Katherine E. Brown, Sharon E. Davis
2026	J	`jnl`	Learning When to Sample: Confidence-Aware Self-Consistency for Efficient LLM Chain-of-Thought Reasoning. CoRR Juming Xiong, Kevin Guo, Congning Ni, Chao Yan, Katherine E. Brown, Avinash Baidya, Xiang Gao, Bradley A. Malin, Zhijun Yin
2026	J	`jnl`	Stop Listening to Me! How Multi-turn Conversations Can Degrade Diagnostic Reasoning. CoRR Kevin H. Guo, Chao Yan, Avinash Baidya, Katherine E. Brown, Xiang Gao, Juming Xiong, Zhijun Yin, Bradley A. Malin
2025	J	`jnl`	Large language models are less effective at clinical prediction tasks than locally trained machine learning models. J. Am. Medical Informatics Assoc. Katherine E. Brown, Chao Yan, Zhuohang Li, Xinmeng Zhang, Benjamin X. Collins, You Chen, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin
2024	J	`jnl`	Assessing and Addressing Model Trustworthiness Trade-offs in Trauma Triage. Int. J. Artif. Intell. Tools Douglas A. Talbert, Katherine L. Phillips, Katherine E. Brown, Steve Talbert
2023	Misc	`conf`	Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models. FLAIRS Katherine L. Phillips, Katherine E. Brown, Steve Talbert, Douglas A. Talbert
2023	Misc	`conf`	Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat. FLAIRS Mateo Gannod, Nicholas Masto, Collins Owusu, Cory Highway, Katherine E. Brown, Abigail Blake-Bradshaw, Jamie Feddersen, Heath Hagy, Douglas A. Talbert, Bradley Cohen
2022	Misc	`conf`	A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression. FLAIRS Katherine E. Brown, Douglas A. Talbert
2022	Misc	`conf`	Using Explainable AI to Measure Feature Contribution to Uncertainty. FLAIRS Katherine E. Brown, Douglas A. Talbert
2021	Misc	`conf`	The Uncertainty of Counterfactuals in Deep Learning. FLAIRS Katherine E. Brown, Douglas A. Talbert, Steve Talbert
2020	Misc	`conf`	Assessing Modality Selection Heuristics to Improve Multimodal Machine Learning for Malware Detection. FLAIRS Farzana Ahamed Bhuiyan, Katherine E. Brown, Md Bulbul Sharif, Quentin D. Johnson, Douglas A. Talbert
2020	Misc	`conf`	Uncertainty Quantification in Multimodal Ensembles of Deep Learners. FLAIRS Katherine E. Brown, Farzana Ahamed Bhuiyan, Douglas A. Talbert
2019	Misc	`conf`	Estimating Uncertainty in Deep Image Classification. AMIA Katherine E. Brown, Douglas A. Talbert
2019	—	`conf`	Heuristically Reducing the Cost of Correlation-based Feature Selection. ACM Southeast Regional Conference Katherine E. Brown, Douglas A. Talbert
2018	Misc	`conf`	Multi-Task Correlation-Based Feature Selection for Gene Expression Data. AMIA Katherine E. Brown, Douglas A. Talbert