Search Results for author: Samuel E. Armstrong

Found 4 papers, 1 papers with code

Institutional Platform for Secure Self-Service Large Language Model Exploration

no code implementations1 Feb 2024 V. K. Cody Bumgardner, Mitchell A. Klusty, W. Vaiden Logan, Samuel E. Armstrong, Caylin Hickey, Jeff Talbert

This paper introduces a user-friendly platform developed by the University of Kentucky Center for Applied AI, designed to make large, customized language models (LLMs) more accessible.

Language Modelling Large Language Model

Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats

no code implementations1 Feb 2024 Aaron Mullen, Samuel E. Armstrong, Jasmine Perdeh, Bjorn Bauer, Jeffrey Talbert, V. K. Cody Bumgardner

This article proposes a system that combines results from several types of models, all of which are trained on different data signals.

Seizure Detection

CLASSify: A Web-Based Tool for Machine Learning

no code implementations5 Oct 2023 Aaron D. Mullen, Samuel E. Armstrong, Jeff Talbert, V. K. Cody Bumgardner

Machine learning classification problems are widespread in bioinformatics, but the technical knowledge required to perform model training, optimization, and inference can prevent researchers from utilizing this technology.

Classification

Survey of Machine Learning Techniques To Predict Heartbeat Arrhythmias

1 code implementation22 Aug 2022 Samuel E. Armstrong

Many works in biomedical computer science research use machine learning techniques to give accurate results.

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