U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

Mathias Perslev, Michael Jensen, Sune Darkner, Poul Jørgen Jennum, Christian Igel. U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 4417-4428, 2019. [doi]

@inproceedings{PerslevJDJI19,
  title = {U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging},
  author = {Mathias Perslev and Michael Jensen and Sune Darkner and Poul Jørgen Jennum and Christian Igel},
  year = {2019},
  url = {http://papers.nips.cc/paper/8692-u-time-a-fully-convolutional-network-for-time-series-segmentation-applied-to-sleep-staging},
  researchr = {https://researchr.org/publication/PerslevJDJI19},
  cites = {0},
  citedby = {0},
  pages = {4417-4428},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
  editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}