Existing methods like SSL use a binary graph based on augmentations of the same sample, while supervised learning relies on ...

Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses unsupervised representation learning and a novel mode contrastive autoencoder to group episodes into ...