Author

Cédric Sueur

Centre National de la Recherche ScientifiqueORCID 0000-0001-8206-2739Unclaimed ORCID profile · follow to get notified of new preprints

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Cédric Sueur1 paper

Biology Disciplines

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Animal Behavior & Cognition· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1 Organism:multiple species· 1 Approach:statistical model· 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 Fenghe Hu· 1 shared Geoffrey G. MurphyiD· 1 shared Hanna Carmon· 1 shared Isabelle Baker· 1 shared

Activity by Year

2020-2024 · peak 1/yr

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10 top collaborators · 24 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

Bing YeORCID

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2 papers

Recent·Most cited

Animal Behavior & CognitionbioRxivPreprintJul 7, 2024

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

Kelly Goss, Lézio Soares Bueno-Júnior, Katherine A. Stangis…·Yujia Hu

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

12 citations

multiple speciesimaging

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedJul 27, 2020

A multilevel statistical toolkit to study animal social networks: Animal Network Toolkit (ANT) R package

Sebastian Sosa, Ivan Puga‐Gonzalez, Fenghe Hu…·Cédric Sueur

The paper introduces the Animal Network Toolkit (ANT) R package, which provides a multilevel statistical approach for analyzing animal social networks.

38 citations

statistical modelbenchmarking

𝕏 PostBluesky

Cédric Sueur · henhao