Talbert, DA at Tennessee Tech University

University	Tennessee Tech University
Position	___
Citations(all)	903
Citations(since 2020)	438
Cited By	564
hIndex(all)	14
hIndex(since 2020)	11
i10Index(all)	17
i10Index(since 2020)	11
Email	Access Email
University Profile Page	Tennessee Tech University
Google Scholar	View Google Scholar Profile

Assessing and Addressing Model Trustworthiness Trade-offs in Trauma Triage

International Journal on Artificial Intelligence Tools

2024/5/25

Katherine E Brown

H-Index: 16

Advances in Explainable, Fair, and Trustworthy AI

INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS

2024/5

Sheikh Rabiul Islam

H-Index: 5

William Eberle

H-Index: 12

Md Golam Moula Mehedi Hasan

H-Index: 3

Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat

The International FLAIRS Conference Proceedings

2023/5/8

Katherine Brown

H-Index: 4

Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models

The International FLAIRS Conference Proceedings

2023/5/8

Katherine Brown

H-Index: 4

A QUEST for Model Assessment: Identifying Difficult Subgroups via Epistemic Uncertainty Quantification

AMIA Annual Symposium Proceedings

2023

Katherine E Brown

H-Index: 16

Anomaly detection for a water treatment system based on one-class neural network

IEEE access

2022/11/1

Mitigating the rashomon effect in counterfactual explanation: A game-theoretic approach

The International FLAIRS Conference Proceedings

2022/5/4

Md Golam Moula Mehedi Hasan

H-Index: 3

Data augmentation using counterfactuals: Proximity vs diversity

The International FLAIRS Conference Proceedings

2022/5/4

Md Golam Moula Mehedi Hasan

H-Index: 3

Using explainable ai to measure feature contribution to uncertainty

The International FLAIRS Conference Proceedings

2022/5/4

Drug repurposing for rare orphan diseases using machine learning techniques

The International FLAIRS Conference Proceedings

2022/5/4

Prajjwal Kandel

H-Index: 1

A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression

The International FLAIRS Conference Proceedings

2022/5/4

Katherine E Brown

H-Index: 16

Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets

The International FLAIRS Conference Proceedings

2022/5/4

Toward early damage detection of total knee arthroplasty implants via convolutional neural networks

2022/4/19

A Survey of Scalable Reinforcement Learning

2022

William Eberle

H-Index: 12

Utilizing Real-Time Strategy for Penetration Testing

Int. J. Chaotic Comput.

2022

William Eberle

H-Index: 12

Learning to Estimate Epistemic Uncertainty in Neural Networks

2021/10/6

The uncertainty of counterfactuals in deep learning

The International FLAIRS Conference Proceedings

2021/4/27

Counterfactual examples for data augmentation: A case study

The International FLAIRS Conference Proceedings

2021/4/18

Md Golam Moula Mehedi Hasan

H-Index: 3

Using ai/machine learning for reconnaissance activities during network penetration testing

International Conference on Cyber Warfare and Security

2021/2/1

George Stone

H-Index: 2

William Eberle

H-Index: 12

Toward Never-Ending Learner for Malware Analysis (NELMA)

2020/12/10

Moumita Kamal

H-Index: 0

Talbert, DA

Tennessee Tech University

About Talbert, DA

Talbert, DA Information

Talbert, DA Skills & Research Interests

Top articles of Talbert, DA

Assessing and Addressing Model Trustworthiness Trade-offs in Trauma Triage

Katherine E Brown

Advances in Explainable, Fair, and Trustworthy AI

Sheikh Rabiul Islam

William Eberle

Md Golam Moula Mehedi Hasan

Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat

Katherine Brown

Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models

Katherine Brown

A QUEST for Model Assessment: Identifying Difficult Subgroups via Epistemic Uncertainty Quantification

Katherine E Brown

Anomaly detection for a water treatment system based on one-class neural network

Mitigating the rashomon effect in counterfactual explanation: A game-theoretic approach

Md Golam Moula Mehedi Hasan

Data augmentation using counterfactuals: Proximity vs diversity

Md Golam Moula Mehedi Hasan

Using explainable ai to measure feature contribution to uncertainty

Drug repurposing for rare orphan diseases using machine learning techniques

Prajjwal Kandel

A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression

Katherine E Brown

Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets

Toward early damage detection of total knee arthroplasty implants via convolutional neural networks

A Survey of Scalable Reinforcement Learning

William Eberle

Utilizing Real-Time Strategy for Penetration Testing

William Eberle

Learning to Estimate Epistemic Uncertainty in Neural Networks

The uncertainty of counterfactuals in deep learning

Counterfactual examples for data augmentation: A case study

Md Golam Moula Mehedi Hasan

Using ai/machine learning for reconnaissance activities during network penetration testing

George Stone

William Eberle

Toward Never-Ending Learner for Malware Analysis (NELMA)

Moumita Kamal