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Classifying sex and strain from mouse ultrasonic vocalizations using deep learning.
Ivanenko, A; Watkins, P; van Gerven, M A J; Hammerschmidt, K; Englitz, B.
Affiliation
  • Ivanenko A; Department of Neurophysiology, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands.
  • Watkins P; Institute of Biology and Biomedicine, Lobachevsky State University, Nizhny Novgorod, Russia.
  • van Gerven MAJ; CAESAR, Bonn, Germany.
  • Hammerschmidt K; Department of Artificial Intelligence, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands.
  • Englitz B; Cognitive Ethology Laboratory, German Primate Center, Göttingen, Germany.
PLoS Comput Biol ; 16(6): e1007918, 2020 06.
Article in En | MEDLINE | ID: mdl-32569292
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ultrasonics / Animal Communication / Sex Factors Limits: Animals Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: Netherlands Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ultrasonics / Animal Communication / Sex Factors Limits: Animals Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: Netherlands Country of publication: United States