Title
Dynamic ensemble selection for multi-class classification with one-class classifiers.
Abstract
•Dynamic ensemble selection for multi-class decomposition with one-class classifiers.•Efficient framework for difficult data with high number of classes.•Removal of non-competent classifiers from decision making process.•Threshold-based selection mechanism for further ensemble pruning•Extensive experimental study backed-up with statistical analysis.
Year
DOI
Venue
2018
10.1016/j.patcog.2018.05.015
Pattern Recognition
Keywords
Field
DocType
Machine learning,Classifier ensemble,One-class classification,Multi-class decomposition,Dynamic classifier selection,Ensemble pruning
Ensemble selection,Pattern recognition,Binary decomposition,Robustness (computer science),Artificial intelligence,Classifier (linguistics),Machine learning,Mathematics,Multiclass classification,Statistical analysis
Journal
Volume
Issue
ISSN
83
1
0031-3203
Citations 
PageRank 
References 
6
0.41
50
Authors
5
Name
Order
Citations
PageRank
Bartosz Krawczyk172160.97
Mikel Galar2100340.90
Michal Wozniak376483.90
Humberto Bustince41938134.10
Francisco Herrera5273911168.49