Author

F. Helsing-Nielsen

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· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:multiple species· 1

Frequent Co-Authors

J. B. Nielsen· 1 shared K. Bjerge· 1 shared M. V. Sepstrup· 1 shared T. T. Hoye· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperEcology

J. B. Nielsen

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1 paper

Recent·Most cited

An automated light trap to monitor moths (Lepidoptera) using computer vision-based tracking and deep learning

K. Bjerge, J. B. Nielsen, M. V. Sepstrup, F. Helsing-Nielsen, T. T. Hoye

This paper introduces an automated moth trap with computer vision and deep learning to monitor moths, achieving high image capture and classification performance.

bioRxiv · Mar 18, 2020Ecology