2024 Publications
2024
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Automatic identification of the endangered hawksbill sea turtle behavior using deep learning and cross-species transfer learning Journal of Experimental Biology2024 The accelerometer, an onboard sensor, enables remote monitoring of animal posture and movement, allowing researchers to deduce behaviors. Despite the automated analysis … DOI PDF Code -
A benchmark for computational analysis of animal behavior, using animal-borne tags Mouvement Ecology2024 Animal-borne sensors (‘bio-loggers’) can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. … DOI PDF -
Correlating Variational Autoencoders Natively for Multi-View Imputation UniReps: the Second Workshop on Unifying Representations in Neural Models (2025)2024 Multi-view data from the same source often exhibit correlation. This is mirrored in correlation between the latent spaces of separate variational autoencoders (VAEs) trained on … DOI PDF -
Empirical evaluation of variational autoencoders and denoising diffusion models for data augmentation in bioacoustics classification South African Computer Science and Information Systems Research Trends. SAICSIT 2024. Communications in Computer and Information Science2024 The accelerometer, an onboard sensor, enables remote monitoring of animal posture and movement, allowing researchers to deduce behaviors. Despite the automated analysis … DOI PDF -
Identifying prey capture events of a free-ranging marine predator using bio-logger data and deep learning Royal Society Open Science2024 Marine predators are integral to the functioning of marine ecosystems, and their consumption requirements should be integrated into ecosystem-based management policies. However, … DOI PDF Code