Author

P. C. Bermant

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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Ecology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:proteomics· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. J. Titus· 1 shared L. Brickson· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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1 shared paperEcology

A. J. Titus

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2 papers

Recent·Most cited

EcologybioRxivPreprintOct 12, 2022

Bioacoustic Event Detection with Self-SupervisedContrastive Learning

P. C. Bermant, L. Brickson, A. J. Titus

This paper develops a self-supervised deep learning method for unsupervised bioacoustic event detection, achieving high accuracy in identifying sperm whale clicks and other vocalizations without manual annotation.

DOI 10.1101/2022.10.12.511740

multiple speciesproteomics

𝕏 PostBluesky

EcologybioRxivJun 18, 2021

BioCPPNet: Automatic Bioacoustic Source Separation with Deep Neural Networks

P. C. Bermant

BioCPPNet separates overlapping bioacoustic signals using a UNet-based model, achieving state-of-the-art performance across multiple species and scenarios.

DOI 10.1038/s41598-021-02790-2

non-human primatemouse

𝕏 PostBluesky