A hierarchical fusion framework to integrate homogeneous and heterogeneous classifiers for medical decision-making

作者：

Highlights：

• A hierarchical framework for multi-classifiers fusion is proposed.

• It is a hybrid integration of heterogeneous and homogeneous classifiers.

• The proposed framework is a potential tool to assist in medical decision-making.

摘要

•A hierarchical framework for multi-classifiers fusion is proposed.•It is a hybrid integration of heterogeneous and homogeneous classifiers.•The proposed framework is a potential tool to assist in medical decision-making.

论文关键词：Ensemble method,Homogeneous ensemble,Heterogeneous ensemble,Fusion architecture,Ensemble diversity

论文评审过程：Received 30 April 2020, Revised 9 October 2020, Accepted 11 October 2020, Available online 24 October 2020, Version of Record 24 December 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106517