1 citations · 1 across the 3 of their papers we have counts for
2 papers
cs.SD2023★ 1 cited
Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive Learning
Ilyass Moummad, Romain Serizel, Nicolas Farrugia
Deep learning has been widely used recently for sound event detection and classification. Its success is linked to the availability of sufficiently large datasets, possibly with co…
cs.LG2022
Learning-based estimation of in-situ wind speed from underwater acoustics
Matteo Zambra, Dorian Cazau, Nicolas Farrugia +4
Wind speed retrieval at sea surface is of primary importance for scientific and operational applications. Besides weather models, in-situ measurements and remote sensing technologi…