Exploring deep learning techniques for wild animal behaviour classification using animal‐borne accelerometers

R Otsuka, N Yoshimura, K Tanigaki… - Methods in Ecology …, 2024 - Wiley Online Library
Abstract Machine learning‐based behaviour classification using acceleration data is a
powerful tool in bio‐logging research. Deep learning architectures such as convolutional …

Accelerometer-based predictions of behaviour elucidate factors affecting the daily activity patterns of spotted hyenas

P Minasandra, FH Jensen… - Royal Society …, 2023 - royalsocietypublishing.org
Animal activity patterns are highly variable and influenced by internal and external factors,
including social processes. Quantifying activity patterns in natural settings can be …

How to treat mixed behavior segments in supervised machine learning of behavioural modes from inertial measurement data

YS Resheff, HM Bensch, M Zöttl, R Harel… - Movement Ecology, 2024 - Springer
The application of supervised machine learning methods to identify behavioural modes from
inertial measurements of bio-loggers has become a standard tool in behavioural ecology …

The Future Is Computational Comparative Cognition

K Voudouris, LG Cheke, M Halina - 2024 - repository.cam.ac.uk
Computational modeling should and will play an increasingly important role in the future of
comparative cognition. Computational comparative cognition is a burgeoning field, poised to …

Accelerometer-based predictions of behaviour elucidate factors affecting the daily activity patterns of spotted hyenas

P Minasandra, FH Jensen, AS Gersick, KE Holekamp… - 2023 - kops.uni-konstanz.de
Animal activity patterns are highly variable and influenced by internal and external factors,
including social processes. Quantifying activity patterns in natural settings can be …

[PDF][PDF] The Critical Human Elements in Using Artificial Intelligence in Comparative Cognition Studies

C Casey, C Reichmuth - Comparative Cognition & Behavior …, 2024 - pinnipedlab.ucsc.edu
The past 5 years have seen a revolution in the use of artificial intelligence (AI) across a wide
range of disciplines, from the sciences to education to the performing arts (Haenlein & …