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Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms
v1v2 (latest)

Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms

11 April 2025
Khrystyna Semkiv
Jia Zhang
Maria Laura Ferster
W. Karlen
ArXiv (abs)PDFHTML

Papers citing "Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms"

6 / 6 papers shown
Title
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical
  Care
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
Patrick Schwab
E. Keller
C. Muroi
David J. Mack
C. Strässle
W. Karlen
72
23
0
14 Feb 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
433
26,718
0
05 Sep 2017
Residual Attention Network for Image Classification
Residual Attention Network for Image Classification
Fei Wang
Mengqing Jiang
Chao Qian
Shuo Yang
Cheng Li
Honggang Zhang
Xiaogang Wang
Xiaoou Tang
126
3,319
0
23 Apr 2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw
  Single-Channel EEG
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
A. Supratak
Hao Dong
Chao Wu
Yike Guo
117
959
0
12 Mar 2017
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
152
2,597
0
12 Dec 2016
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
392
25,911
0
09 Jun 2011
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