Samuel E. Armstrong

According to our database, Samuel E. Armstrong authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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

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

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

2023

CLASSify: A Web-Based Tool for Machine Learning.

Aaron D. Mullen, Samuel E. Armstrong, Jeff Talbert, V. K. Cody Bumgardner

CoRR, 2023

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

SmartState: A Protocol-Driven Human Interface.

Samuel E. Armstrong, Aaron D. Mullen, V. K. Cody Bumgardner

CoRR, 2023