Minimum class variance class-specific extreme learning machine for imbalanced classification

作者：

Highlights：

• Handle the imbalanced classification problems.

• Minimum class variance class-specific extreme learning machine.

• The training time significantly lower than variances-constrained WELM.

• Benchmark results confirm effectiveness of proposed classifier.

摘要

•Handle the imbalanced classification problems.•Minimum class variance class-specific extreme learning machine.•The training time significantly lower than variances-constrained WELM.•Benchmark results confirm effectiveness of proposed classifier.

论文关键词：Extreme learning machine,Minimum class variance class-specific extreme learning machine,Class imbalance problem,Classification

论文评审过程：Received 21 May 2020, Revised 8 November 2020, Accepted 1 April 2021, Available online 8 April 2021, Version of Record 22 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114994