Quantifying allo-grooming in wild chacma baboons (Papio ursinus) using 
tri-axial acceleration data and machine learning

Christensen, C.; Bracken, A. M.; O'Riain, M. J.; Fehlmann, Gaëlle; Holton, M.; Hopkins, P.; King, A. J.; Furtbauer, I.

doi:10.1098/rsos.221103

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Quantifying allo-grooming in wild chacma baboons (Papio ursinus) using tri-axial acceleration data and machine learning

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Fehlmann, Gaëlle
Research Group of Cognitive and Cultural Ecology, Max Planck Institute of Animal Behavior, Max Planck Society;

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Christensen, C., Bracken, A. M., O'Riain, M. J., Fehlmann, G., Holton, M., Hopkins, P., et al. (2023). Quantifying allo-grooming in wild chacma baboons (Papio ursinus) using tri-axial acceleration data and machine learning. Royal Society Open Science, 10(4): 221103. doi:10.1098/rsos.221103.

Cite as: https://hdl.handle.net/21.11116/0000-000D-7E30-0

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