Semi-supervised multi-target prediction for analysis of screening data
Graph-based Semi-supervised Learning
Graph-based Semi-supervised Learning
Active Semi-Supervised Learning Using Sampling Theory for Graph Signals
Graph Construction and b-Matching for Semi-Supervised Learning
Semi-supervised Learning for Text Classification
Manifold Coarse Graining for Online Semi-Supervised Learning
Fighting the Tuberculosis Pandemic Using Machine Learning
Coupled Semi-Supervised Learning for Information Extraction
Graphs Regularization for Data Sets and Images: Filtering and Semi-Supervised Classification