Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case

Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Amir Salimi, Abram Hindle, Padma Kaul, Russell Greiner. Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case. In 19th International Symposium on Medical Information Processing and Analysis, SIPAIM 2023, Mexico City, Mexico, November 15-17, 2023. pages 1-7, IEEE, 2023. [doi]

@inproceedings{NademiKSSHKG23,
  title = {Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case},
  author = {Yousef Nademi and Sunil Vasu Kalmady and Weijie Sun and Amir Salimi and Abram Hindle and Padma Kaul and Russell Greiner},
  year = {2023},
  doi = {10.1109/SIPAIM56729.2023.10373478},
  url = {https://doi.org/10.1109/SIPAIM56729.2023.10373478},
  researchr = {https://researchr.org/publication/NademiKSSHKG23},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {19th International Symposium on Medical Information Processing and Analysis, SIPAIM 2023, Mexico City, Mexico, November 15-17, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-2523-2},
}