Introduction to the special issue on learning from multi-label data
On label dependence and loss minimization in multi-label classification
Multilabel classification with meta-level features in a learning-to-rank framework
Compressed labeling on distilled labelsets for multi-label learning
Efficient max-margin multi-label classification with applications to zero-shot learning
Statistical topic models for multi-label document classification
Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference
Scalable and efficient multi-label classification for evolving data streams
Bayesian multi-instance multi-label learning using Gaussian process prior
Multi-parametric solution-path algorithm for instance-weighted support vector machines
Learning graphical models for relational data via lattice search
How to reverse-engineer quality rankings
Structured learning with constrained conditional models
ROC convex hull and nonparametric maximum likelihood estimation