Multi-view self-supervised learning for multivariate variable-channel time series

Thea Brüsch, Mikkel N. Schmidt, Tommy S. Alstrøm

Labeling of multivariate biomedical time series data is a laborious and expensive process. Self-supervised contrastive learning alleviates the need for large, labeled datasets thro…