3 papers
cs.SD2024
Towards Deep Active Learning in Avian Bioacoustics
Lukas Rauch, Denis Huseljic, Moritz Wirth +3
Passive acoustic monitoring (PAM) in avian bioacoustics enables cost-effective and extensive data collection with minimal disruption to natural habitats. Despite advancements in co…
cs.LG2024
From Structured to Unstructured:A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs
Jens Decke, Olaf Wünsch, Bernhard Sick +1
This article investigates the application of computer vision and graph-based models in solving mesh-based partial differential equations within high-performance computing environme…
cs.LG2024
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing
Jens Decke, Arne Jenß, Bernhard Sick +1
This article presents the Sorting Composite Quantile Regression Neural Network (SCQRNN), an advanced quantile regression model designed to prevent quantile crossing and enhance com…