Author

Kelly Goss

University of Michigan

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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Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1 Organism:multiple species· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

Bing YeiD· 1 shared Brendon O. WatsoniD· 1 shared Carolyn E. JonesiD· 1 shared Carrie R. FerrarioiD· 1 shared Cédric SueuriD· 1 shared Geoffrey G. MurphyiD· 1 shared Hanna Carmon· 1 shared Isabelle Baker· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

Bing YeORCID

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Author profile →

1 paper

Recent·Most cited

Quantifying social roles in multi-animal videos using subject-aware deep-learning

Kelly Goss, Lézio Soares Bueno-Júnior, Katherine A. Stangis, Théo Ardoin, Hanna Carmon, Jie Na Zhou, Rohan Satapathy, Isabelle Baker, Carolyn E. Jones, Miranda M. Lim, Brendon O. Watson, Cédric Sueur, Carrie R. Ferrario, Geoffrey G. Murphy, Bing Ye, Yujia Hu

This paper introduces a subject-aware deep-learning system to quantify social roles in multi-animal groups across species and assays.

bioRxiv · Jul 7, 2024 · PreprintAnimal Behavior & Cognition