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  ANIMAL‑SPOT enables animal‑independent signal detection and classification using deep learning

Bergler, C., Smeele, S. Q., Tyndel, S. A., Barnhill, A., Torres Ortiz, S., Kalan, A. K., et al. (2022). ANIMAL‑SPOT enables animal‑independent signal detection and classification using deep learning. Scientific Reports, 12: 21966. doi:10.1038/s41598-022-26429-y.

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 Creators:
Bergler, Christian, Author
Smeele, Simeon Quirinus1, 2, Author                 
Tyndel, Stephen A.1, 2, Author           
Barnhill, Alexander, Author
Torres Ortiz, Sara3, 4, Author           
Kalan, Ammie K., Author
Cheng, Rachael Xi, Author
Brinkløv, Signe, Author
Osiecka, Anna N., Author
Tougaard, Jakob, Author
Jakobsen, Freja, Author
Wahlberg, Magnus, Author
Nöth, Elmar, Author
Maier, Andreas, Author
Klump, Barbara C.2, Author           
Affiliations:
1IMPRS for Organismal Biology, Radolfzell, Seewiesen, Max Planck Institut für Ornithologie, Max Planck Society, ou_3172953              
2Research Group of Cognitive and Cultural Ecology, Max Planck Institute of Animal Behavior, Max Planck Society, ou_3054977              
3IMPRS for Organismal Biology, Seewiesen, Max Planck Institut für Ornithologie, Max Planck Society, ou_2149699              
4Group Comparative Cognition / von Bayern, Seewiesen, Max Planck Institute for Biological Intelligence, Max Planck Society, ou_3398368              

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 Dates: 2022-12-19
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s41598-022-26429-y
Other: Immediate Open Access
 Degree: -

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Title: Scientific Reports
  Abbreviation : Sci. Rep.
Source Genre: Journal
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Affiliations:
Publ. Info: London, UK : Nature Publishing Group
Pages: - Volume / Issue: 12 Sequence Number: 21966 Start / End Page: - Identifier: ISSN: 2045-2322
CoNE: https://pure.mpg.de/cone/journals/resource/2045-2322