Reproducibility of Machine Learning Models for Paroxysmal Atrial Fibrillation Onset Prediction

Cédric Gilon, Jean-Marie Grégoire, Jérome Hellinckx, Stéphane Carlier, Hugues Bersini. Reproducibility of Machine Learning Models for Paroxysmal Atrial Fibrillation Onset Prediction. In Computing in Cardiology, CinC 2022, Tampere, Finland, September 4-7, 2022. pages 1-4, IEEE, 2022. [doi]

@inproceedings{GilonGHCB22,
  title = {Reproducibility of Machine Learning Models for Paroxysmal Atrial Fibrillation Onset Prediction},
  author = {Cédric Gilon and Jean-Marie Grégoire and Jérome Hellinckx and Stéphane Carlier and Hugues Bersini},
  year = {2022},
  doi = {10.22489/CinC.2022.171},
  url = {https://doi.org/10.22489/CinC.2022.171},
  researchr = {https://researchr.org/publication/GilonGHCB22},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {Computing in Cardiology, CinC 2022, Tampere, Finland, September 4-7, 2022},
  publisher = {IEEE},
  isbn = {979-8-3503-0097-0},
}