Yannick Baidai

Machine learning for characterizing tropical tuna aggregations under Drifting Fish Aggregating Devices (DFADs) from commercial echosounder buoys data

Yannick Baidai, Laurent Dagorn, Monin Justin Amandè et al. · Fisheries Research · 2020 · 45 citations · Full text

Engineering, Data Science, Fishery Science +6

Machine learning to detect bycatch risk: Novel application to echosounder buoys data in tuna purse seine fisheries

Laura Mannocci, Yannick Baidai, Fabien Forget et al. · Biological Conservation · 2021 · 27 citations · Full text

Novel Application, Machine Learning, Data Science +6

Lessons learnt from the first large-scale biodegradable FAD research experiment to mitigate drifting FADs impacts on the ecosystem

Hilário Murua, Iker Zudaire, Mariana Travassos Tolotti et al. · Marine Policy · 2022 · 23 citations · Full text

Functional attributes: Compacting vs decompacting earthworms and influence on soil structure

Arnauth M. Guéi, Yannick Baidai, Jérôme Tondoh et al. · Current Zoology · 2012 · 17 citations · Full text

Soil Pedology, Functional Attributes, Biodiversity +11

Tuna aggregation dynamics at Drifting Fish Aggregating Devices: a view through the eyes of commercial echosounder buoys

Yannick Baidai, Laurent Dagorn, Monin Justin Amandè et al. · ICES Journal of Marine Science · 2020 · 17 citations · Full text

Fishery Assessment, Ocean Acoustics, Engineering +14