Automatic underwater fish species classification with limited data using few-shot learning. - Sébastien Villon; Corina Iovan; Morgan Mangeas; Thomas Claverie; David Mouillot; Sébastien Villéger; Laurent Vigliola (Ecol. Informatics, 2021)

Combining Passive Acoustics and Environmental Data for Scaling Up Ecosystem Monitoring: A Test on Coral Reef Fishes. - Simon Elise; François Guilhaumon; Gérard Mou-Tham; Isabel Urbina-Barreto; Laurent Vigliola; Michel Kulbicki; J. Henrich Bruggemann (Remote. Sens., 2022)

Confronting Deep-Learning and Biodiversity Challenges for Automatic Video-Monitoring of Marine Ecosystems. - Sébastien Villon; Corina Iovan; Morgan Mangeas; Laurent Vigliola (Sensors, 2022)

Toward an artificial intelligence-assisted counting of sharks on baited video. - Sébastien Villon; Corina Iovan; Morgan Mangeas; Laurent Vigliola (Ecol. Informatics, 2024)

The Fast-Greedy algorithm reveals hourly fluctuations and associated risks of shark communities in a South Pacific city. - Ibtissam Chafia; Jihad Zahir; Christophe Lett; Tarik Agouti; Hajar Mousannif; Laurent Vigliola (Ecol. Informatics, 2025)