Changes in micro-algal pigment content and optical absorption cross section with growth irradiance, detected by hyperspectral radiometric analyses. - Vona Méléder; Martin Laviale; Bruno Jesus; Jean-Luc Mouget; Farzaneh Kazemipour; Patrick Launeau; Laurent Barillé (WHISPERS, 2011)

Tackling Inter-class Similarity and Intra-class Variance for Microscopic Image-Based Classification. - Aishwarya Venkataramanan; Martin Laviale; Cécile Figus; Philippe Usseglio-Polatera; Cédric Pradalier (ICVS, 2021)

Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers. - Aishwarya Venkataramanan; Assia Benbihi; Martin Laviale; Cédric Pradalier (ICCV (Workshops), 2023)

Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval. - Aishwarya Venkataramanan; Martin Laviale; Cédric Pradalier (ICVS, 2023)

Self-Supervised Gaussian Regularization of Deep Classifiers for Mahalanobis-Distance-Based Uncertainty Estimation. - Aishwarya Venkataramanan; Assia Benbihi; Martin Laviale; Cédric Pradalier (CoRR, 2023)

Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach. - Aishwarya Venkataramanan; Pierre Faure-Giovagnoli; Cyril Regan; David Heudre; Cécile Figus; Philippe Usseglio-Polatera; Cédric Pradalier; Martin Laviale (Eng. Appl. Artif. Intell., 2023)

Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study. - Elnaz Azmi; Khadijeh Alibabaei; Valentin Kozlov; Tjerk Krijger; Gabriele Accarino; Sakina-Dorothée Ayata; Amanda Calatrava; Marco M. De Carlo; Decrop Wout; Donatello Elia; Sandro Fiore; Marco Francescangeli; et al. (Ecol. Informatics, 2025)