Author

R. Nagatomi

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

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Research Focus:clustering· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

H. Inada· 1 shared H. Momma· 1 shared S. S. Nawrin· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

H. Inada

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1 paper

Recent·Most cited

Animal Behavior & CognitionbioRxivPreprintJun 4, 2023

Clustering temporal step-counting patterns for 24 hours with machine learning revealed potential heterogeneity in the categorization by a traditional tertile procedure.

S. S. Nawrin, H. Inada, H. Momma, R. Nagatomi

The paper uses machine learning to cluster 24-hour step-counting patterns from accelerometer data, revealing heterogeneity not captured by traditional tertile categorization.

DOI 10.1101/2023.06.04.543652

humanmachine learning (classical)

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