3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 3 cited
Digital Phenotyping for Adolescent Mental Health: A Feasibility Study Employing Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data
Balasundaram Kadirvelu, Teresa Bellido Bel, Aglaia Freccero +3
Background: Adolescents are particularly vulnerable to mental disorders, with over 75% of cases manifesting before the age of 25. Research indicates that only 18 to 34% of young pe…
q-bio.NC2024★ 1 cited
Speaker-Independent Dysarthria Severity Classification using Self-Supervised Transformers and Multi-Task Learning
Lauren Stumpf, Balasundaram Kadirvelu, Sigourney Waibel +1
Dysarthria, a condition resulting from impaired control of the speech muscles due to neurological disorders, significantly impacts the communication and quality of life of patients…