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pro vyhledávání: '"Armstrong, Samuel"'
Autor:
Klusty, Mitchell A., Logan, W. Vaiden, Armstrong, Samuel E., Mullen, Aaron D., Leach, Caroline N., Talbert, Jeff, Bumgardner, V. K. Cody
Administrative documentation is a major driver of rising healthcare costs and is linked to adverse outcomes, including physician burnout and diminished quality of care. This paper introduces a secure system that applies recent advancements in speech-
Externí odkaz:
http://arxiv.org/abs/2409.15378
Autor:
Armstrong, Samuel E., Mullen, Aaron D., Thomas, J. Matthew, Sears, Dorothy D., Pendergast, Julie S., Talbert, Jeffrey, Bumgardner, Cody
Developing and enforcing study protocols is a foundational component of medical research. As study complexity for participant interactions increases, translating study protocols to supporting application code becomes challenging. A collaboration exis
Externí odkaz:
http://arxiv.org/abs/2406.18718
Autor:
Mullen, Aaron, Armstrong, Samuel E., Perdeh, Jasmine, Bauer, Bjorn, Talbert, Jeffrey, Bumgardner, V. K. Cody
A multi-modal machine learning system uses multiple unique data sources and types to improve its performance. This article proposes a system that combines results from several types of models, all of which are trained on different data signals. As an
Externí odkaz:
http://arxiv.org/abs/2402.00965
Autor:
Bumgardner, V. K. Cody, Klusty, Mitchell A., Logan, W. Vaiden, Armstrong, Samuel E., Hickey, Caylin, Talbert, Jeff
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. By capitalizing on recent advancements in multi-LoRA inference, t
Externí odkaz:
http://arxiv.org/abs/2402.00913
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. This article presents an au
Externí odkaz:
http://arxiv.org/abs/2310.03618
Autor:
Armstrong, Samuel E., Klusty, Mitchell A., Mullen, Aaron D., Talbert, Jeffery C., Bumgardner, V. K. Cody
Developing and enforcing study protocols is crucial in medical research, especially as interactions with participants become more intricate. Traditional rules-based systems struggle to provide the automation and flexibility required for real-time, pe
Externí odkaz:
http://arxiv.org/abs/2305.04411
Autor:
Armstrong, Samuel
Many works in biomedical computer science research use machine learning techniques to give accurate results. However, these techniques may not be feasible for real-time analysis of data pulled from live hospital feeds. In this project, different mach
Externí odkaz:
http://arxiv.org/abs/2208.10463
Autor:
Armstrong, Samuel, Khandelwal, Paahuni, Padalia, Dhruv, Senay, Gabriel, Schulte, Darin, Andales, Allan, Breidt, F. Jay, Pallickara, Shrideep, Pallickara, Sangmi Lee
Publikováno v:
In Environmental Modelling and Software June 2022 152
Publikováno v:
In Brain and Language June 2022 229
Akademický článek
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