2 papers
cs.LG2025
PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse
Einari Vaaras, Manu Airaksinen, Okko Räsänen
Self-supervised learning (SSL) is a data-driven learning approach that utilizes the innate structure of the data to guide the learning process. In contrast to supervised learning,…
cs.CV2024
Learning Developmental Age from 3D Infant Kinetics Using Adaptive Graph Neural Networks
Daniel Holmberg, Manu Airaksinen, Viviana Marchi +5
Reliable methods for the neurodevelopmental assessment of infants are essential for early detection of problems that may need prompt interventions. Spontaneous motor activity, or '…