基本信息
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个人简介
Kevin R. Moon received the BS and MS degrees in electrical engineering from Brigham Young University, the MS degree in mathematics and the PhD degree in electrical engineering from the University of Michigan, respectively. He is an assistant professor with the Department of Mathematics and Statistics, Utah State University (USU). Prior to joining USU in 2018, he was a postdoctoral scholar (2016-2018) with the Genetics Department and the Applied Mathematics Program, Yale University. His research interests are in the development of theory and applications in machine learning, information theory, deep learning, and manifold learning. More specifically, he is interested in dimensionality reduction, data visualization, ensemble methods, nonparametric estimation, information theoretic functionals, neural networks, and applications in biomedical data, finance, engineering, and ecology.
研究兴趣
论文共 68 篇作者统计合作学者相似作者
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CoRR (2025)
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arxiv(2025)
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Thomas J. Kerby,Kevin R. Moon
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CoRR (2024)
International Workshop on Machine Learning for Signal Processingpp.1-6, (2024)
CoRR (2024)
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Elsa Brunet-Ratnasingham,Sacha Morin,Haley E. Randolph,Marjorie Labrecque,Justin Belair,Raphael Lima-Barbosa,Amelie Pagliuzza,Lorie Marchitto,Michael Hultstrom,Julia Niessl,Rose Cloutier, Alina M. Sreng Flores,Nathalie Brassard,Mehdi Benlarbi,Jeremie Prevost,Shilei Ding,Sai Priya Anand,Geremy Sannier,Amanda Marks,Dick Wagsaeter,Eric Bareke,Hugo Zeberg,Miklos Lipcsey,Robert Frithiof,Anders Larsson,Sirui Zhou,Tomoko Nakanishi,David Morrison,Dani Vezina,Catherine Bourassa,Gabrielle Gendron-Lepage,Halima Medjahed,Floriane Point,Jonathan Richard,Catherine Larochelle,Alexandre Prat,Janet L. Cunningham,Nathalie Arbour,Madeleine Durand,J. Brent Richards,Kevin Moon,Nicolas Chomont,Andres Finzi,Martine Tetreault,Luis Barreiro,Guy Wolf,Daniel E. Kaufmann
NATURE COMMUNICATIONSno. 1 (2024)
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作者统计
#Papers: 68
#Citation: 2769
H-Index: 21
G-Index: 45
Sociability: 5
Diversity: 2
Activity: 31
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