Skip to main navigation Skip to search Skip to main content

Lightweight Skip Connections With Efficient Feature Stacking for Respiratory Sound Classification

  • Youngjin Choi
  • , Hoeryeon Choi
  • , Hwayoung Lee
  • , Sookyoung Lee
  • , Hongchul Lee
  • Korea University
  • Catholic Univ. of Korea Coll. Med.

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Fingerprint

Dive into the research topics of 'Lightweight Skip Connections With Efficient Feature Stacking for Respiratory Sound Classification'. Together they form a unique fingerprint.
Sort by

Computer Science

Neuroscience