Quantifying mating behaviour using accelerometry and machine learning: 
Challenges and opportunities

Aulsebrook, Anne E.; Jacques-Hamilton, Rowan; Kempenaers, Bart

doi:10.1016/j.anbehav.2023.10.013

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Quantifying mating behaviour using accelerometry and machine learning: Challenges and opportunities

Aulsebrook, A. E., Jacques-Hamilton, R., & Kempenaers, B. (2024). Quantifying mating behaviour using accelerometry and machine learning: Challenges and opportunities. Animal Behaviour, 207, 55-76. doi:10.1016/j.anbehav.2023.10.013.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-156A-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-156B-3

Genre: Journal Article

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Creators:
Aulsebrook, Anne E.¹, Author
Jacques-Hamilton, Rowan¹, Author
Kempenaers, Bart¹, Author

Affiliations:
1Department of Ornithology / Kempenaers, Seewiesen, Max Planck Institute for Biological Intelligence, Max Planck Society, ou_3518530

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Dates: Date issued: 2024-01-01

Publication Status: Issued

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Identifiers: DOI: 10.1016/j.anbehav.2023.10.013

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Title: Animal Behaviour

Source Genre: Journal

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Publ. Info: London : Academic Press

Pages: - Volume / Issue: 207 Sequence Number: - Start / End Page: 55 - 76 Identifier: ISSN: 0003-3472
CoNE: https://pure.mpg.de/cone/journals/resource/110985822458702