A-SFS: Semi-supervised feature selection based on multi-task self-supervision

作者：

Highlights：

• A new feature selection method based on self-supervised pattern discovery.

• A multi-task self-supervised model for latent structure discovery.

• Batch-attention-based feature weight generation.

摘要

•A new feature selection method based on self-supervised pattern discovery.•A multi-task self-supervised model for latent structure discovery.•Batch-attention-based feature weight generation.

论文关键词：Feature selection,Attention mechanism,Self-supervised,Autoencoder

论文评审过程：Received 17 January 2022, Revised 11 June 2022, Accepted 8 July 2022, Available online 18 July 2022, Version of Record 28 July 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.109449