output
20182025
most citedSeeing biodiversity: perspectives in machine learning for wildlife conservation

733 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.SDShow all

3 papers · 1 filter

cs.SD2024★ 5 cited

animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics

Julian C. Schäfer-Zimmermann, Vlad Demartsev, Baptiste Averly +9

Bioacoustic research, vital for understanding animal behavior, conservation, and ecology, faces a monumental challenge: analyzing vast datasets where animal vocalizations are rare.…

cs.SD2023★ 65 cited

Learning to detect an animal sound from five examples

Inês Nolasco, Shubhr Singh, Veronica Morfi +14

Automatic detection and classification of animal sounds has many applications in biodiversity monitoring and animal behaviour. In the past twenty years, the volume of digitised wil…

cs.SD2022★ 5 cited

Few-shot bioacoustic event detection at the DCASE 2022 challenge

I. Nolasco, S. Singh, E. Vidana-Villa +12

Few-shot sound event detection is the task of detecting sound events, despite having only a few labelled examples of the class of interest. This framework is particularly useful in…