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  Perspectives in machine learning for wildlife conservation

Tuia, D., Kellenberger, B., Beery, S., Costelloe, B. R., Zuffi, S., Risse, B., et al. (2022). Perspectives in machine learning for wildlife conservation. Nature Communications, 13(1): 792. doi:10.1038/s41467-022-27980-y.

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Genre: Journal Article

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 Creators:
Tuia, D., Author
Kellenberger, B., Author
Beery, S., Author
Costelloe, Blair R.1, Author              
Zuffi, S., Author
Risse, B., Author
Mathis, A., Author
Mathis, M. W., Author
van Langevelde, F., Author
Burghardt, T., Author
Kays, R., Author
Klinck, H., Author
Wikelski, Martin2, Author              
Couzin, Iain D.1, Author              
van Horn, G., Author
Crofoot, Margaret C.3, Author              
Stewart, C. V., Author
Berger-Wolf, T., Author
Affiliations:
1Department of Collective Behavior, Max Planck Institute of Animal Behavior, Max Planck Society, ou_3054976              
2Department of Migration, Max Planck Institute of Animal Behavior, Max Planck Society, ou_3054975              
3Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior, Max Planck Society, ou_3149186              

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 Dates: 2022
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s41467-022-27980-y
 Degree: -

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Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 13 (1) Sequence Number: 792 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723