A Framework to Generate Synthetic Multi-label Datasets
Lazy Multi-label Learning Algorithms Based on Mutuality Strategies
A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach
Label Construction for Multi-label Feature Selection
A framework for multi-label exploratory data analysis: ML-EDA
ReliefF for Multi-label Feature Selection
Electronic Notes in Theoretical Computer Science
2014 XL Latin American Computing Conference (CLEI)
J Intell Robot Syst
2014 Brazilian Conference on Intelligent Systems
2013 Brazilian Conference on Intelligent Systems
Maria Carolina Monard
Everton Alvares Cherman
Huei Diana Lee
Victor Augusto Moraes Carvalho
Jorge Valverde-Rebaza
Grigorios Tsoumakas