2 papers
cs.CV2026
Visualizing definitional divergence in high-dimensional data by manifold alignment: Application to 3D right ventricular strain computations
Maxime Di Folco, Gabriel Bernardino, Patrick Clarysse +1
Medical imaging studies often rely on a single sample per subject, assuming it is representative of their physiological traits. However, variations in how input descriptors are def…
cs.LG2026
Sampling-guided exploration of active feature selection policies
Gabriel Bernardino, Anders Jonsson, Patrick Clarysse +1
Determining the most appropriate features for machine learning predictive models is challenging regarding performance and feature acquisition costs. In particular, global feature c…