Development of an opensource algorithm based on inertial measurement units (IMU) of a smartphone to detect cattle grass intake and ruminating behaviors, Comput. Electron. Agric, vol.139, pp.126-137, 2017. ,
Categorising sheep activity using a tri-axial accelerometer, Comput. Electron. Agric, vol.145, pp.289-297, 2018. ,
Automated measurement of changes in feeding behavior of milk-fed calves associated with illness, J. Dairy Sci, vol.92, pp.4549-4554, 2009. ,
The circadian system: a regulatory feedback network of periphery and brain, Physiology, vol.31, pp.170-181, 2016. ,
Can baseline heart rate variability be used as a predictor of the swine behavioral and febrile response to a sickness challenge?, J. Anim. Sci, vol.96, p.9, 2018. ,
Anomaly detection in ECG time signals via deep long shortterm memory networks, Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, pp.834-840, 2015. ,
Behavioural adaptations of sheep to repeated acidosis challenges and effect of yeast supplementation, Animal, vol.6, pp.2011-2022, 2012. ,
Nearest neighbor pattern classification, IEEE Trans. Inf. Theory, vol.13, pp.21-27, 1967. ,
Twenty years of research on cytokine-induced sickness behavior, Brain. Behav. Immun, vol.21, pp.153-160, 2007. ,
Optical flow, flock behaviour and chicken welfare, Anim. Behav, vol.84, pp.219-223, 2012. ,
Behavioral and patho-physiological response as possible signs of pain in dairy cows during Escherichia con mastitis: A pilot study, J. Dairy Sci, vol.100, pp.8385-8397, 2017. ,
Behavioral classification of data from collars containing motion sensors in grazing cattle, Comput. Electron. Agric, vol.110, pp.91-102, 2015. ,
Biological basis of the behavior of sick animals, Neurosci. Biobehav. Rev, vol.12, pp.123-137, 1988. ,
Estrous detection by continuous measurements of vaginal temperature and conductivity with supervised machine learning in cattle, Theriogenology, vol.123, pp.90-99, 2018. ,
long short-term memory, Neural Comput, vol.9, pp.1735-1780, 1997. ,
Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning, Proc. Natl. Acad. Sci, vol.112, pp.5351-5360, 2015. ,
No evidence for kin protection in the expression of sickness behaviors in house mice, Sci. Rep, vol.8, p.16682, 2018. ,
Long short-term memory networks for anomaly detection in time series, ESANN 2015 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp.89-94, 2015. ,
Time of feeding orchestrates circadian post-feeding intake patterns in dairy cows, Cattle Pract, vol.22, pp.92-94, 2014. ,
Induction of decision trees, Mach. Learn, vol.1, pp.81-106, 1986. ,
Cardiologistlevel arrhythmia detection with convolutional neural networks, 2017. ,
Learning representations by backpropagating errors, Nature, vol.323, pp.533-536, 1986. ,
Why do we feel sick when infected-can altruism play a role?, PLoS Biol, vol.13, 2015. ,
Continuous monitoring of cow activity to detect sub-acute ruminal acidosis (SARA), 2017. ,
Applications of machine learning in animal behaviour studies, Anim. Behav, vol.124, pp.203-220, 2017. ,
Calves' responses to repeated social regrouping and relocation, J. Anim. Sci, vol.79, pp.2580-2593, 2001. ,
Adaptability of calves during weaning, Biologie du Comportement (Biology of Behaviour), vol.14, pp.66-87, 1989. ,
The use of circadian behaviour to measure adaptation of calves to changes in their environment, Appl. Anim. Behav. Sci, vol.22, pp.1-12, 1989. ,
Short communication: Early modification of the circadian organization of cow activity in relation to disease or estrus, J. Dairy Sci, vol.100, pp.3969-3974, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01603866
Relative reticulo-rumen pH indicators for subacute ruminal acidosis detection in dairy cows, Animal, vol.12, pp.481-490, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01604921
Residual nets for understanding animal behavior, J. Anim. Behav. Biometeorol, vol.7, pp.97-103, 2019. ,
, Computers and Electronics in Agriculture, vol.170, p.105233, 2020.