Evolutionary ensemble generative adversarial learning for identifying terrorists among high-speed rail passengers

作者：

Highlights：

• A new ensemble learning method is proposed for imbalanced classification.

• An evolutionary fusion method is designed to integrate multiple classifiers.

• Our method has been applied to identify potential terrorists for China Railway.

摘要

•A new ensemble learning method is proposed for imbalanced classification.•An evolutionary fusion method is designed to integrate multiple classifiers.•Our method has been applied to identify potential terrorists for China Railway.

论文关键词：Anti-terrorism,Classification,Deep learning,Ensemble learning,Evolutionary algorithm,Generative adversarial network (GAN)

论文评审过程：Received 1 June 2022, Revised 28 July 2022, Accepted 3 August 2022, Available online 8 August 2022, Version of Record 17 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118430