Scalable Multilabel Learning Based on Feature and Label Dimensionality Reduction

Evolutionary Multilabel Feature Selection Using Promising Feature Subset Generation

Experimental Comparisons with Respect to the Usage of the Promising Relations in EDA-based Causal Discovery

Effective Evolutionary Multilabel Feature Selection under a Budget Constraint

Efficient Information-Theoretic Unsupervised Feature Selection

AIR-H: Aesthetic Interaction Model of Robot with Human to Develop Social Affinity

Reverse Engineering for Causal Discovery based on Monotonic Characteristic of Causal Structure

SCLS: Multi-label Feature Selection based on Scalable Criterion for Large Label Set

Optimization Approach for Feature Selection in Multi-label Classification

Smartphone-Assisted Pronunciation Learning Technique for Ambient Intelligence