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Machine learning goes wild: Using data from captive individuals to infer wildlife behaviours
1. Remotely tracking distinct behaviours of animals using acceleration data and machine learning has been carried out successfully in several species in captive settings. In order to study the ecology of animals in natural habitats, such behaviour classification models need to be transferred to wild...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200095/ https://www.ncbi.nlm.nih.gov/pubmed/32369485 http://dx.doi.org/10.1371/journal.pone.0227317 |