In this paper, we tackle for the first time, the problem of self-supervised representation learning for free-hand sketches. This importantly addresses a common problem faced by the sketch community – ...

Semi-supervised multi-label learning (SSMLL) involves learning a multi-label classifier from a small set of labeled data and a large set of unlabeled data. Label enhancement (LE), accounting for the ...

Extracellular polymeric substances (EPS)-related biofouling in anaerobic electrochemical membrane bioreactors (AnEMBR) is commonly mitigated, yet the underlying mechanisms require further elucidation.

machine-learning deep-learning paper survey style-transfer theory transfer-learning papers representation-learning unsupervised-learning tutorial-code domain-adaptation generalization transferlearning ...

meek-ROPE em el User-Friendly R Package for Supervised Machine Learning Pipelines An interface to build machine learning models for classification and regression problems. mikropml implements the ML ...