Title
Multi-label semi-supervised classification through optimum-path forest.
Abstract
•An extension of the OPF-based semi-supervised learning for multi-label classification.•A more robust approach to propagate labels to unsupervised samples.•An extensive experimental validation for multi-label classification.
Year
DOI
Venue
2018
10.1016/j.ins.2018.06.067
Information Sciences
Keywords
Field
DocType
Semi-supervised learning,Multi-label assignment,Optimum-path forest classifiers
Small number,Training set,Feature vector,Semi-supervised learning,Artificial intelligence,Classifier (linguistics),Maxima,Probability density function,Machine learning,Mathematics
Journal
Volume
ISSN
Citations 
465
0020-0255
1
PageRank 
References 
Authors
0.37
23
3
Name
Order
Citations
PageRank
Willian Paraguassu Amorim1244.52
Alexandre X. Falcão21877132.30
João P. Papa368946.87