The team proposed a novel representation learning method based on an integrated autoencoders for unsupervised domain adaptation. A sparse autoencoder is introduced to combine the inter- and inner ...

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 ...