2024 Publications
Automatic identification of the endangered hawksbill sea turtle behavior using deep learning and cross-species transfer learning
Lorène Jeantet, Kukhanya Zondo, Cyrielle Delvenne, Jordan Martin, Damien Chevallier, Emmanuel Dufourq
Journal of Experimental Biology
A benchmark for computational analysis of animal behavior, using animal-borne tags
Benjamin Hoffman, Maddie Cusimano, Vittorio Baglione, Daniela Canestrari, Damien Chevallier, Dominic L. DeSantis, Lorène Jeantet, Monique A. Ladds, Takuya Maekawa, Vicente Mata-Silva, Víctor Moreno-González, Anthony M. Pagano, Eva Trapote, Outi Vainio, Antti Vehkaoja, Ken Yoda, Katherine Zacarian, Ari Friedlaender
Mouvement Ecology
Correlating Variational Autoencoders Natively for Multi-View Imputation
Ella S. C. Orme, Marina Evangelou, Ulrich Paquet
UniReps: the Second Workshop on Unifying Representations in Neural Models (2025)
Empirical evaluation of variational autoencoders and denoising diffusion models for data augmentation in bioacoustics classification
Charles Herbst, Lorène Jeantet, Emmanuel Dufourq
South African Computer Science and Information Systems Research Trends. SAICSIT 2024. Communications in Computer and Information Science
Identifying prey capture events of a free-ranging marine predator using bio-logger data and deep learning
Stefan Schoombie, Lorène Jeantet, Marianna Chimienti, Grace J. Sutton, Pierre A. Pistorius, Emmanuel Dufourq, Andrew D. Lowther, Chris Oosthuizen
Royal Society Open Science
An integrated passive acoustic monitoring and deep learning pipeline for black-and-white ruffed lemurs (Varecia variegata) in Ranomafana National Park, Madagascar
Carly H. Batist, Emmanuel Dufourq, Lorène Jeantet, Mendrika N. Razafindraibe, Francois Randriamanantena, Andrea L. Baden
American Journal of Primatology