Author

Derek Murphy

German Primate CenterORCID 0000-0001-8657-482XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Animal Behavior & Cognition· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Organism:non-human primate· 1 Assay:proteomics· 1

Frequent Co-Authors

Claudia FichteliD· 2 shared Peter M. KappeleriD· 2 shared Alexander GailiD· 1 shared Alexander S. EckeriD· 1 shared Elif KarakociD· 1 shared Elodie F. BrieferiD· 1 shared Florentin WörgötteriD· 1 shared Judith Maria BurkartiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersAnimal Behavior & Cognition

Claudia FichtelORCID

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2 papers

Recent·Most cited

PriMAT: A robust multi-animal tracking model for primates in the wild

Richard Vogg, Matthias Nuske, Marissa A. Weis, Timo Lüddecke, Elif Karakoc, Zurna Ahmed, Sofia Pereira, Suchinda Malaivijitnond, Suthirote Meesawat, Derek Murphy, Julia Fischer, Florentin Wörgötter, Peter M. Kappeler, Alexander Gail, Julia Ostner, , Alexander S. Ecker

PriMAT tracks and identifies primates in the wild using bounding boxes, achieving 84% accuracy in lemur identification with minimal labeled data.

PLoS ONE · Apr 30, 2026Peer-reviewedAnimal Behavior & Cognition

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