Author

N. C. Yoder

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Animal Behavior & Cognition· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:non-human primate· 1

Frequent Co-Authors

A. Carson· 1 shared C. Junge· 1 shared D. Allen· 1 shared G. Wymore· 1 shared K. Lloyd· 1 shared L. M. Prescott· 1 shared R. D. Chambers· 1 shared S. Bradley· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

A. Carson

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1 paper

Recent·Most cited

Deep learning classification of canine behavior using a single collar-mounted accelerometer: Real-world validation

R. D. Chambers, N. C. Yoder, A. Carson, C. Junge, D. Allen, L. M. Prescott, S. Bradley, G. Wymore, K. Lloyd, S. Lyle

This paper develops a deep learning algorithm to classify canine behaviors using accelerometer data from collars, achieving high accuracy in detecting eating and drinking behaviors in real-world settings.

bioRxiv · Dec 14, 2020Animal Behavior & Cognition