A machine learning approach to infant distress calls and maternal behaviour of wild chimpanzees

Guillaume Dezecache, Klaus Zuberbühler, Marina Davila-Ross, Christoph D. Dahl

Open source

DOI: 10.1007/s10071-020-01437-5
Published: 2020-10-22
Container: Animal Cognition
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10071-020-01437-5,
  title = {A machine learning approach to infant distress calls and maternal behaviour of wild chimpanzees},
  author = {Guillaume Dezecache and Klaus Zuberbühler and Marina Davila-Ross and Christoph D. Dahl},
  year = {2020},
  journal = {Animal Cognition},
  doi = {10.1007/s10071-020-01437-5},
  url = {https://doi.org/10.1007/s10071-020-01437-5}
}

RIS

TY  - JOUR
TI  - A machine learning approach to infant distress calls and maternal behaviour of wild chimpanzees
AU  - Guillaume Dezecache
AU  - Klaus Zuberbühler
AU  - Marina Davila-Ross
AU  - Christoph D. Dahl
PY  - 2020
JO  - Animal Cognition
DO  - 10.1007/s10071-020-01437-5
UR  - https://doi.org/10.1007/s10071-020-01437-5
ER  -

APA

Dezecache, G., Zuberbühler, K., Davila-Ross, M., & Dahl, C. D. (2020). A machine learning approach to infant distress calls and maternal behaviour of wild chimpanzees. Animal Cognition. https://doi.org/10.1007/s10071-020-01437-5

Source records

crossref · retrieved 2026-09-26T03:49:55.552Z