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

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

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Fingerprint

Dive into the research topics of 'A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification'. Together they form a unique fingerprint.

Computer Science

Biochemistry, Genetics and Molecular Biology