Two Will Do: CNN With Asymmetric Loss, Self-Learning Label Correction, and Hand-Crafted Features for Imbalanced Multi-Label ECG Data Classification

Cristina Gallego Vázquez, Alexander Breuss, Oriella Gnarra, Julian Portmann, Giulia Da Poian. Two Will Do: CNN With Asymmetric Loss, Self-Learning Label Correction, and Hand-Crafted Features for Imbalanced Multi-Label ECG Data Classification. In Computing in Cardiology, CinC 2021, Brno, Czech Republic, September 13-15, 2021. pages 1-4, IEEE, 2021. [doi]

@inproceedings{VazquezBGPP21,
  title = {Two Will Do: CNN With Asymmetric Loss, Self-Learning Label Correction, and Hand-Crafted Features for Imbalanced Multi-Label ECG Data Classification},
  author = {Cristina Gallego Vázquez and Alexander Breuss and Oriella Gnarra and Julian Portmann and Giulia Da Poian},
  year = {2021},
  doi = {10.23919/CinC53138.2021.9662741},
  url = {https://doi.org/10.23919/CinC53138.2021.9662741},
  researchr = {https://researchr.org/publication/VazquezBGPP21},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {Computing in Cardiology, CinC 2021, Brno, Czech Republic, September 13-15, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-7916-5},
}