2 papers
cs.CV2026
When Imbalance Comes Twice: Active Learning under Simulated Class Imbalance and Label Shift in Binary Semantic Segmentation
Julien Combes, Alexandre Derville, Jean-François Coeurjolly
The aim of Active Learning is to select the most informative samples from an unlabelled set of data. This is useful in cases where the amount of data is large and labelling is expe…
stat.ME2026
Simulation of warping processes with applications to temperature data
Nolwenn Le Méhauté, Jean-François Coeurjolly, Marie-Hélène Descary
Curve registration plays a major role in functional data analysis by separating amplitude and phase variation through warping functions and the accurate simulation of warping proce…