Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis
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Title
Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis
Authors
Keywords
Class imbalance problem, Multi-objective optimization, State transition algorithm, SMOTE, Aluminum electrolysis
Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-04-23
DOI
10.1007/s00521-019-04208-7
References
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