A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification-Reference-Cited by-同舟云学术

A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification

Published:2023-07 Issue: Volume:221 Page:119711
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

He Ziyang^ORCID,Chen Yufei^ORCID,Yuan Shuaiying^ORCID,Zhao Jianhui^ORCID,Yuan Zhiyong^ORCID,Polat Kemal^ORCID,Alhudhaif Adi^ORCID,Alenezi Fayadh^ORCID,Hamid Arwa^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

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