Author

Ricard Marxer

Centre National de la Recherche ScientifiqueORCID 0000-0001-5099-5059Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:multiple species· 1 Approach:statistical model· 1

Frequent Co-Authors

Hervé GlotiniD· 2 shared Ben McEweniD· 1 shared Benjamin CretoisiD· 1 shared Corentin BernardiD· 1 shared Dan StowelliD· 1 shared Paul BestiD· 1 shared Sébastien ParisiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Hervé GlotinORCID

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2 papers

Recent·Most cited

BioinformaticsThe Journal of the Acoustical Society of AmericaPeer-reviewedJun 1, 2026

Data-driven Sampling Strategies for Fine-Tuning Bird Detection Models

Corentin Bernard, Ben McEwen, Benjamin Cretois…·Ricard Marxer

This paper develops data-driven sampling strategies to improve bird detection models by selecting the most impactful samples for fine-tuning with limited annotations.

1 citation

statistical modelbenchmarking

𝕏 PostBluesky

BioinformaticsPLoS ONEPeer-reviewedJul 10, 2023

Deep audio embeddings for vocalisation clustering

Paul Best, Ricard Marxer, Sébastien Paris, Hervé Glotin

The paper introduces a convolutional auto-encoder for vocalisation clustering, showing improved representation quality compared to existing methods across multiple species.

36 citationstop 1%

multiple speciesdeep learning

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