| 2023 | FlAIRS | 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 |
| 2023 | FlAIRS | 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 |
| 2022 | FlAIRS | A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression. | Katherine E. Brown, Douglas A. Talbert |
| 2022 | FlAIRS | Using Explainable AI to Measure Feature Contribution to Uncertainty. | Katherine E. Brown, Douglas A. Talbert |
| 2021 | FlAIRS | The Uncertainty of Counterfactuals in Deep Learning. | Katherine E. Brown, Douglas A. Talbert, Steve Talbert |
| 2020 | FlAIRS | 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 |
| 2020 | FlAIRS | Uncertainty Quantification in Multimodal Ensembles of Deep Learners. | Katherine E. Brown, Farzana Ahamed Bhuiyan, Douglas A. Talbert |
| 2019 | AMIA | Estimating Uncertainty in Deep Image Classification. | Katherine E. Brown, Douglas A. Talbert |
| 2018 | AMIA | Multi-Task Correlation-Based Feature Selection for Gene Expression Data. | Katherine E. Brown, Douglas A. Talbert |