2 papers
cs.CL2026
Hierarchical Self-Supervised Representation Learning for Depression Detection from Speech
Yuxin Li, Eng Siong Chng, Cuntai Guan
Speech-based depression detection (SDD) has emerged as a non-invasive and scalable alternative to conventional clinical assessments. However, existing methods still struggle to cap…
cs.LG2026
SPD Matrix Learning for Neuroimaging Analysis: Perspectives, Methods, and Challenges
Ce Ju, Reinmar Kobler, Antoine Collas +3
Neuroimaging provides essential tools for characterizing brain activity, structure, and connectivity through modalities that capture complementary aspects of brain organization. Ac…