Do not sleep on traditional machine learning: Simple and interpretable techniques are competitive to deep learning for sleep scoring

M. Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost, Nicolas Vandenbussche, Michaël Rademaker, Gilles Vandewiele, Sofie Van Hoecke. Do not sleep on traditional machine learning: Simple and interpretable techniques are competitive to deep learning for sleep scoring. Biomed. Signal Proc. and Control, 81:104429, March 2023. [doi]

@article{DoncktDDVRVH23,
  title = {Do not sleep on traditional machine learning: Simple and interpretable techniques are competitive to deep learning for sleep scoring},
  author = {M. Jeroen Van Der Donckt and Jonas Van Der Donckt and Emiel Deprost and Nicolas Vandenbussche and Michaël Rademaker and Gilles Vandewiele and Sofie Van Hoecke},
  year = {2023},
  month = {March},
  doi = {10.1016/j.bspc.2022.104429},
  url = {https://doi.org/10.1016/j.bspc.2022.104429},
  researchr = {https://researchr.org/publication/DoncktDDVRVH23},
  cites = {0},
  citedby = {0},
  journal = {Biomed. Signal Proc. and Control},
  volume = {81},
  pages = {104429},
}