6 papers
Determinantal point process sampling for bioacoustic active learning
Hugo Magaldi, Gabriel Dubus
Eco-acoustic monitoring generates vast volumes of audio data, making active learning a promising approach for reducing annotation effort while efficiently training reliable biodive…
Adaptive Diversity-Uncertainty Active Learning with Redundancy Control for Bioacoustic Event Classification
Gabriel Dubus, Hugo Magaldi, Anatole Gros-Martial
Active learning is a promising framework for reducing annotation costs in large-scale bioacoustic monitoring, where expert labeling is expensive and data distributions are highly h…
DeepForestVisionV2: Ecology-Driven Taxonomy Expansion for Camera-Trap Monitoring in African Tropical Forests
Hugo Magaldi, Theau d'Audiffret, Etienne Francois Akomo-Okoue +24
Camera-trap monitoring in African tropical forests increasingly extends beyond closed-canopy interiors to riverbanks, clearings, and park edges. Among available open tools for Afri…
DeepForestSound: a multi-species automatic detector for passive acoustic monitoring in African tropical forests, a case study in Kibale National Park
Gabriel Dubus, Théau d'Audiffret, Claire Auger +10
Passive Acoustic Monitoring (PAM) is widely used for biodiversity assessment. Its application in African tropical forests is limited by scarce annotated data, reducing the performa…
The spectrum of the stochastic Bessel operator at high temperature
Laure Dumaz, Hugo Magaldi
RamÃrez and Rider (2009) established that the hard edge of the spectrum of the -Laguerre ensemble converges, in the high-dimensional limit, to the bottom of the spectrum of th…
The stochastic Bessel operator at high temperatures
Hugo Magaldi
We know from Ram{Ã}rez and Rider that the hard edge of the spectrum of the Beta-Laguerre ensemble converges, in the high-dimensional limit, to the bottom of the spectrum of the st…