Author

L. Hogeweg

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 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:imaging· 2 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:statistical model· 1

Frequent Co-Authors

A. G. Finstad· 2 shared E. B. Nilsen· 2 shared W. Koch· 2 shared M. Rademaker· 1 shared R. B. O'Hara· 1 shared R. Vos· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 7 mutual co-author links

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2 shared papersEcology

A. G. Finstad

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Recognizability bias in citizen science photographs

W. Koch, L. Hogeweg, E. B. Nilsen, R. B. O'Hara, A. G. Finstad

This study identifies a recognizability bias in citizen science photographs, where species harder to recognize are underreported, affecting model training and future performance.

bioRxiv · Jun 25, 2022Ecology

Maximizing citizen scientists' contribution to automated species recognition

W. Koch, L. Hogeweg, E. B. Nilsen, A. G. Finstad

This study shows that adding images of under-represented species improves recognition models more than adding more images of well-represented species.

bioRxiv · Feb 17, 2022Ecology

Modelling the niches of wild and domesticated Ungulatespecies using deep learning

M. Rademaker, L. Hogeweg, R. Vos

This paper develops a deep learning-based species distribution model (DL-SDM) for ungulates, showing improved performance over traditional MaxEnt models, especially with increased data and environmental predictors.

bioRxiv · Aug 22, 2019 · PreprintEvolutionary Biology