Author

Marina Scheumann

University of Veterinary Medicine Hannover, FoundationORCID 0000-0002-4091-9500Unclaimed ORCID profile · follow to get notified of new preprints

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:machine learning (classical)· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

Claudia FichteliD· 1 shared Derek MurphyiD· 1 shared Elodie F. BrieferiD· 1 shared Judith Maria BurkartiD· 1 shared Julián LeóniD· 1 shared Kaja WieruckaiD· 1 shared Marta B. ManseriD· 1 shared Nikhil PhanirajiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

Claudia FichtelORCID

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1 paper

Recent·Most cited

Same data, different results? Machine learning approaches in bioacoustics

Kaja Wierucka, Derek Murphy, Stuart K. Watson, Nikola Falk, Claudia Fichtel, Julián León, Stephan T. Leu, Peter M. Kappeler, Elodie F. Briefer, Marta B. Manser, Nikhil Phaniraj, Marina Scheumann, Judith Maria Burkart

The paper evaluates machine learning methods for caller identity classification in mammalian vocalizations, finding Mel-frequency cepstral coefficients and random forests provide consistent results across datasets.

Methods in Ecology and Evolution · Jul 9, 2025Peer-reviewedAnimal Behavior & Cognition