Local Large Language Models for Complex Structured Medical Tasks. - V. K. Cody Bumgardner; Aaron D. Mullen; Samuel E. Armstrong; Caylin Hickey; Jeff Talbert (CoRR, 2023)

CLASSify: A Web-Based Tool for Machine Learning. - Aaron D. Mullen; Samuel E. Armstrong; Jeff Talbert; V. K. Cody Bumgardner (CoRR, 2023)

Institutional Platform for Secure Self-Service Large Language Model Exploration. - V. K. Cody Bumgardner; Mitchell A. Klusty; W. Vaiden Logan; Samuel E. Armstrong; Caylin Hickey; Jeff Talbert (CoRR, 2024)

Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats. - Aaron D. Mullen; Samuel E. Armstrong; Jasmine Perdeh; Bjorn Bauer; Jeffrey Talbert; V. K. Cody Bumgardner (CoRR, 2024)

State-Based Automation for Time-Restricted Eating Adherence. - Samuel E. Armstrong; Aaron D. Mullen; J. Matthew Thomas; Dorothy D. Sears; Julie S. Pendergast; Jeffrey Talbert; Cody Bumgardner (CoRR, 2024)

Toward Automated Clinical Transcriptions. - Mitchell A. Klusty; W. Vaiden Logan; Samuel E. Armstrong; Aaron D. Mullen; Caroline N. Leach; Jeff Talbert; V. K. Cody Bumgardner (CoRR, 2024)

Forecasting Opioid Incidents for Rapid Actionable Data for Opioid Response in Kentucky. - Aaron D. Mullen; Daniel Harris; Peter Rock; Svetla Slavova; Jeffrey Talbert; V. K. Cody Bumgardner (CoRR, 2024)