Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model

21 November 2021

Papers citing "Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model"

6 / 6 papers shown

Title
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG Jian Cui Zirui Lan Yisi Liu Ruilin Li Fan Li O. Sourina W. Müller-Wittig 36 88 0 30 May 2021
Deep learning-based electroencephalography analysis: a systematic review Yannick Roy Hubert J. Banville Isabela Albuquerque Alexandre Gramfort T. Falk J. Faubert 111 956 0 16 Jan 2019
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG A. Supratak Hao Dong Chao Wu Yike Guo 82 959 0 12 Mar 2017
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces Vernon J. Lawhern Amelia J. Solon Nicholas R. Waytowich Stephen M. Gordon C. Hung Brent Lance OOD 108 2,900 0 23 Nov 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 253 9,338 0 14 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,312 0 22 Dec 2014