activity
20222025
most citedLearning to detect an animal sound from five examples

65 citations · 76 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.PE2025

Many-Eyes and Sentinels in Selfish and Cooperative Groups

Charlie Pilgrim, Andrew M Bate, Anna Sigalou +6

Collective vigilance describes how animals in groups benefit from the predator detection efforts of others. Empirical observations typically find either a many-eyes strategy with a…

q-bio.NC2025

The Computational Foundations of Collective Intelligence

Charlie Pilgrim, Joe Morford, Elizabeth Warren +4

Why do collectives outperform individuals when solving some problems? Fundamentally, collectives have greater computational resources with more sensory information, more memory, mo…

cs.SD2023★ 6 cited

Few-shot bioacoustic event detection at the DCASE 2023 challenge

Ines Nolasco, Burooj Ghani, Shubhr Singh +12

Few-shot bioacoustic event detection consists in detecting sound events of specified types, in varying soundscapes, while having access to only a few examples of the class of inter…

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…