Jonathon Loftin

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

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Southern Arkansas University

Also affiliated: Texas Tech University (2021)

Formerly Arkansas Affiliated with Southern Arkansas University through 2023.

2 h-index 5 pubs 27 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Jonathon Loftin's research focuses on the application of machine learning to biological and computational problems. He has investigated the use of explainable artificial intelligence (XAI) for classifying liver cancer and identifying associated genes, with publications in this area appearing in 2022 and 2023. Loftin also works on computational methods for finite element analysis, specifically exploring exact polynomial integration techniques for problems involving planar cuts and embedded interfaces, with related publications from 2021 and 2023. His work also touches upon signal processing, with a publication addressing SAR clutter and speckle reduction.

Metrics

h-index: 2
Publications: 5
Citations: 27

Positions

Graduate Part-Time Instructor 2017–2023

Texas Tech University Department of Mathematics and Statisitcs ORCID

Selected Publications

Machine-Learning Classification Models to Predict Liver Cancer with Explainable AI to Discover Associated Genes (2023)

AppliedMath 24 citations DOI OpenAlex
Exact subdomain and embedded interface polynomial integration in finite elements with planar cuts (2023)

Numerical Algorithms 3 citations DOI OpenAlex
Explainable-AI to Discover Associated Genes for Classifying Hepato-cellular Carcinoma from High-dimensional Data (2022)

medRxiv 1 citation DOI OpenAlex