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2020 – today
- 2024
[j1]Douglas A. Talbert, Katherine L. Phillips, Katherine E. Brown, Steve Talbert:
Assessing and Addressing Model Trustworthiness Trade-offs in Trauma Triage. Int. J. Artif. Intell. Tools 33(3): 2460007:1-2460007:23 (2024)- 2023
- [c10]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 - [c9]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 - 2022
- [c8]Katherine E. Brown, Douglas A. Talbert:
A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression. FLAIRS 2022 - [c7]Katherine E. Brown, Douglas A. Talbert:
Using Explainable AI to Measure Feature Contribution to Uncertainty. FLAIRS 2022 - 2021
- [c6]Katherine E. Brown, Douglas A. Talbert, Steve Talbert:
The Uncertainty of Counterfactuals in Deep Learning. FLAIRS 2021 - 2020
- [c5]Katherine E. Brown, Farzana Ahamed Bhuiyan, Douglas A. Talbert:
Uncertainty Quantification in Multimodal Ensembles of Deep Learners. FLAIRS 2020: 422-427 - [c4]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 2020: 434-438
2010 – 2019
- 2019
- [c3]Katherine E. Brown, Douglas A. Talbert:
Heuristically Reducing the Cost of Correlation-based Feature Selection. ACM Southeast Regional Conference 2019: 24-30 - [c2]Katherine E. Brown, Douglas A. Talbert:
Estimating Uncertainty in Deep Image Classification. AMIA 2019 - 2018
- [c1]Katherine E. Brown, Douglas A. Talbert:
Multi-Task Correlation-Based Feature Selection for Gene Expression Data. AMIA 2018
Coauthor Index
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