Aishwarya Venkataramanan, Michael Kloster, Andrea Burfeid-Castellanos, Mimoza Dani, Ntambwe A S Mayombo, Danijela Vidakovic, Daniel Langenkämper, Mingkun Tan, Cedric Pradalier, Tim Nattkemper, Martin Laviale, Bánk Beszteri, “UDE DIATOMS in the Wild 2024”: a new image dataset of freshwater diatoms for training deep learning models, GigaScience, Volume 13, 2024, giae087
iMagine Publications

NB: the links are to journals when an Open Access version exists, or to the repository where the full texts are available.
2024
Gayá-Vilar, Alberto, Alberto Abad-Uribarren, Augusto Rodríguez-Basalo, Pilar Ríos, Javier Cristobo, and Elena Prado. 2024. “Deep Learning Based Characterization of Cold-Water Coral Habitat at Central Cantabrian Natura 2000 Sites Using YOLOv8” Journal of Marine Science and Engineering 12, no. 9: 1617.
Prat, O. [et al.]. AI-based fish detection and classification at OBSEA underwater observatory. “International Conference on Marine Data and Information Systems: proceedings, volume Miscellanea INGV, 80”. Roma: Istituto Nazionale di Geofisica e Vulcanologia (INGV), 2024, p. 50-52. ISBN 2039-6651.
2023
Aishwarya Venkataramanan, Assia Benbihi, Martin Laviale, Cédric Pradalier. Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers. 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Oct 2023, Paris, France. pp.4490-4499, doi: 10.1109/ICCVW60793.2023.00483.