Katherine E. Brown

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Topics

Multispectral Satellite Images

Weighted Voting

Gene Expression

Top Venues

FLAIRS Conference

ACM Southeast Regional Conference

Publications

Mateo Gannod, Nicholas Masto, Collins Owusu, Cory Highway, Katherine E. Brown, Abigail Blake-Bradshaw, Jamie Feddersen, Heath Hagy, Douglas A. Talbert, Bradley Cohen
Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat. FLAIRS (2023)
Katherine L. Phillips, Katherine E. Brown, Steve Talbert, Douglas A. Talbert
Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models. FLAIRS (2023)
Katherine E. Brown, Douglas A. Talbert
A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression. FLAIRS (2022)
Katherine E. Brown, Douglas A. Talbert
Using Explainable AI to Measure Feature Contribution to Uncertainty. FLAIRS (2022)
Katherine E. Brown, Douglas A. Talbert, Steve Talbert
The Uncertainty of Counterfactuals in Deep Learning. FLAIRS Conference (2021)
Katherine E. Brown, Farzana Ahamed Bhuiyan, Douglas A. Talbert
Uncertainty Quantification in Multimodal Ensembles of Deep Learners. FLAIRS Conference (2020)
Farzana Ahamed Bhuiyan, Katherine E. Brown, Md Bulbul Sharif, Quentin D. Johnson, Douglas A. Talbert
Assessing Modality Selection Heuristics to Improve Multimodal Machine Learning for Malware Detection. FLAIRS Conference (2020)
Katherine E. Brown, Douglas A. Talbert
Heuristically Reducing the Cost of Correlation-based Feature Selection. ACM Southeast Regional Conference (2019)
Katherine E. Brown, Douglas A. Talbert
Estimating Uncertainty in Deep Image Classification. AMIA (2019)
Katherine E. Brown, Douglas A. Talbert
Multi-Task Correlation-Based Feature Selection for Gene Expression Data. AMIA (2018)