Multi-label learning from batch and streaming data
Multi-Label Ensemble Learning
Aggregating Independent and Dependent Models to Learn Multi-label Classifiers
Multi-Label Ensemble Learning
Robust Extreme Multi-label Learning
Semi-supervised multi-target prediction for analysis of screening data
Decomposition and structuring of the output space
Extreme Multi-label Loss Functions for Reommencdation, Tagging, Ranking & Other Missing Label Applications
Streaming Multi-label Classification
On the Stratification of Multi-Label Data