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TRIER: Template-Guided Neural Networks for Robust and Interpretable
  Sleep Stage Identification from EEG Recordings

TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings

10 September 2020
Taeheon Lee
Jeonghwan Hwang
Honggu Lee
ArXiv (abs)PDFHTML

Papers citing "TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings"

3 / 3 papers shown
Title
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges,
  and Future Directions
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future DirectionsPhysiological Measurement (Physiol. Meas.), 2021
Huy P Phan
Kaare B. Mikkelsen
189
121
0
03 Nov 2021
SleepTransformer: Automatic Sleep Staging with Interpretability and
  Uncertainty Quantification
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty QuantificationIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2021
Huy P Phan
Kaare B. Mikkelsen
Oliver Y. Chén
P. Koch
Alfred Mertins
M. D. Vos
268
235
0
23 May 2021
U-Time: A Fully Convolutional Network for Time Series Segmentation
  Applied to Sleep Staging
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep StagingNeural Information Processing Systems (NeurIPS), 2019
Mathias Perslev
M. Jensen
Kenny Erleben
P. Jennum
Christian Igel
AI4TS
262
288
0
24 Oct 2019
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