Recent advancements in deep learning have profoundly impacted the field of animal
behavioral research, offering researchers powerful tools for understanding the complexities …

Individual identification plays a pivotal role in ecology and ethology, notably as a tool for
complex social structures understanding. However, traditional identification methods often …

From the early Lascaux painters to British naturalists and to modern scientists worldwide,
throughout our history, our species has always watched other animals in their natural …

Detection and tracking of animals is an important first step for automated behavioral studies
in videos. Nowadays, animal tracking is mostly done using deep learning frameworks based …

Abstract Research Highlight: Ross, CT, McElreath, R., & Redhead, D.(2023). Modelling
animal network data in R using STRAND. Journal of Animal Ecology. https://doi …

Facial expression studies in animal communication are essential. However, manual
inspection methods are only practical for small datasets. Deep learning techniques can help …

We know vanishingly little about how long-lived apes experience senescence in the wild,
particularly with respect to their foraging behaviors, which are essential for survival. Some …

Audio classification tasks like speech recognition and acoustic scene analysis require
substantial labeled data, which is expensive. This work explores active learning to reduce …

The increasing prevalence of surveillance systems in both public and private domains
underscores the growing need for robust human face detection and recognition capabilities …

Individual identification plays a pivotal role in ecology and ethology, notably as a tool for
complex social structures understanding. However, traditional identification methods often …