5 citations · 6 across the 4 of their papers we have counts for
4 papers
Development details and computational benchmarking of DEPAM
Paul Nguyen Hong Duc, Dorian Cazau
In the big data era of observational oceanography, passive acoustics datasets are becoming too high volume to be processed on local computers due to their processor and memory limi…
Theory-plus-code documentation of the DEPAM workflow for soundscape description
D. Cazau
In the Big Data era, the community of PAM faces strong challenges, including the need for more standardized processing tools accross its different applications in oceanography, and…
Bi-class classification of humpback whale sound units against complex background noise with Deep Convolution Neural Network
Cazau Dorian, Riwal Lefort, Julien Bonnel +2
Automatically detecting sound units of humpback whales in complex time-varying background noises is a current challenge for scientists. In this paper, we explore the applicability…
Understanding the Probabilistic Latent Component Analysis Framework
D. Cazau, G. Nuel
Probabilistic Component Latent Analysis (PLCA) is a statistical modeling method for feature extraction from non-negative data. It has been fruitfully applied to various research fi…