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1-7 of 7
Keywords: Machine Learning
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Journal Articles
Lorène Jeantet, Kukhanya Zondo, Cyrielle Delvenne, Jordan Martin, Damien Chevallier, Emmanuel Dufourq
Journal:
Journal of Experimental Biology
J Exp Biol (2024) 227 (24): jeb249232.
Published: 23 December 2024
... monitoring, enabling existing models to be adapted to the species under study. Accelerometer Behavioral classification Bio-logging Neural networks Machine Learning Animal behavior Carnegie Corporation of New York http://dx.doi.org/10.13039/100000308 Fonds Européen de...
Includes: Supplementary data
Journal Articles
Benjamin Dupuis, Akiko Kato, Olivia Hicks, Danuta M. Wisniewska, Coline Marciau, Frederic Angelier, Yan Ropert-Coudert, Marianna Chimienti
Journal:
Journal of Experimental Biology
J Exp Biol (2024) 227 (23): jeb249201.
Published: 4 December 2024
... both energy expenditure and intake in 48 Adélie penguins ( Pygoscelis adeliae ) during the chick-rearing stage. We employed the machine learning algorithm random forest (RF) to predict accelerometry-derived metrics for feeding behaviour using depth data (our proxy for energy acquisition). We also built...
Includes: Supplementary data
Journal Articles
Journal:
Journal of Experimental Biology
J Exp Biol (2024) 227 (14): jeb247457.
Published: 22 July 2024
... on feeding state, and not on sensory stimulation. Cuttlefish cognition Spectral profile Theta oscillations Principal component analysis Machine learning Chaire Beauté(s) PSL-L'Oréal Centre national de la recherche scientifique http://dx.doi.org/10.13039/501100004794...
Includes: Supplementary data
Journal Articles
Journal:
Journal of Experimental Biology
J Exp Biol (2017) 220 (1): 25–34.
Published: 1 January 2017
... for automated analyses, video-based tracking algorithms for estimating the positions of interacting animals, and machine learning methods for recognizing patterns of interactions. These methods are extremely general in their applicability, and we review a subset of successful applications of them to biological...
Journal Articles
Journal:
Journal of Experimental Biology
J Exp Biol (2016) 219 (11): 1608–1617.
Published: 1 June 2016
... High-speed video Machine learning Quantitative analysis of animal movements constitutes a major tool in understanding the relationship between animal form and function, and how animals perform tasks that affect their chances of survival ( Alexander, 1992 ; Dickinson et al., 2000 ; Marey...
Includes: Supplementary data
Journal Articles
Journal:
Journal of Experimental Biology
J Exp Biol (2016) 219 (11): 1618–1624.
Published: 1 June 2016
...-logging devices (1.5–2.5 g) and use them to characterize behavior in two chipmunk species. We collected paired accelerometer readings and behavioral observations from captive individuals. We then employed techniques from machine learning to develop an automatic system for coding accelerometer readings...
Journal Articles
Journal:
Journal of Experimental Biology
J Exp Biol (2014) 217 (24): 4295–4302.
Published: 15 December 2014
...’ (proxies for prey encounter used in other studies). The mean (±s.e.) number of prey captures per foraging trip was 446.6±66.28. By recording the behaviour of captive animals on HD video and using a supervised machine learning approach, we show that accelerometry signatures can classify the behaviour...