27 citations · 28 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inference
Ben McEwen, Shiqi Zhang, Dan Stowell
Limited expert annotation capacity is a pervasive constraint in biodiversity monitoring. Passive acoustic recorders and camera traps generate data faster than experts can analyse t…
cs.LG2026★ 1 cited
bacpipe: a Python package to make bioacoustic deep learning models accessible
Vincent S. Kather, Sylvain Haupert, Burooj Ghani +1
1. Natural sounds have been recorded for millions of hours over the previous decades using passive acoustic monitoring. Improvements in deep learning models have vastly accelerated…
cs.SD2023★ 27 cited
Adaptive Representations of Sound for Automatic Insect Recognition
Marius Faiß, Dan Stowell
Insect population numbers and biodiversity have been rapidly declining with time, and monitoring these trends has become increasingly important for conservation measures to be effe…