1 citations · 1 across the 2 of their papers we have counts for
3 papers
Bad: Taming the Bioacoustic Data Deluge with a Bat Activity Detector
Stefano Ciapponi, Santiago Martinez Balvanera, Andrea Cesaretti +2
Passive Acoustic Monitoring of bats generates massive ultrasonic datasets (>27 GB/night per node), straining edge storage and battery life. Legacy triggers fail against acoustic co…
Whombat: An open-source annotation tool for machine learning development in bioacoustics
Santiago Martinez Balvanera, Oisin Mac Aodha, Matthew J. Weldy +3
1. Automated analysis of bioacoustic recordings using machine learning (ML) methods has the potential to greatly scale biodiversity monitoring efforts. The use of ML for high-stake…
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring
Omiros Pantazis, Gabriel Brostow, Kate Jones +1
We address the problem of learning self-supervised representations from unlabeled image collections. Unlike existing approaches that attempt to learn useful features by maximizing…