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Deep learning with convolutional neural networks for decoding and
  visualization of EEG pathology

Deep learning with convolutional neural networks for decoding and visualization of EEG pathology

26 August 2017
R. Schirrmeister
Lukas A. W. Gemein
Katharina Eggensperger
Frank Hutter
T. Ball
    MedIm
ArXivPDFHTML

Papers citing "Deep learning with convolutional neural networks for decoding and visualization of EEG pathology"

16 / 16 papers shown
Title
A trans-disciplinary review of deep learning research for water
  resources scientists
A trans-disciplinary review of deep learning research for water resources scientists
Chaopeng Shen
AI4CE
175
690
0
06 Dec 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
170
5,596
0
21 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
278
2,262
0
24 Jun 2017
Deep learning with convolutional neural networks for EEG decoding and
  visualization
Deep learning with convolutional neural networks for EEG decoding and visualization
Robin Tibor Schirrmeister
Jost Tobias Springenberg
Lukas Dominique Josef Fiederer
Martin Glasstetter
Katharina Eggensperger
Michael Tangermann
Frank Hutter
Wolfram Burgard
Tonio Ball
70
1,924
0
15 Mar 2017
Large-Scale Evolution of Image Classifiers
Large-Scale Evolution of Image Classifiers
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
118
1,637
0
03 Mar 2017
Evolving Deep Neural Networks
Evolving Deep Neural Networks
Risto Miikkulainen
J. Liang
Elliot Meyerson
Aditya Rawal
Daniel Fink
...
B. Raju
Hormoz Shahrzad
Arshak Navruzyan
Nigel P. Duffy
Babak Hodjat
86
886
0
01 Mar 2017
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer
  Interfaces
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
88
2,879
0
23 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
441
5,367
0
05 Nov 2016
Ischemic Stroke Identification Based on EEG and EOG using 1D
  Convolutional Neural Network and Batch Normalization
Ischemic Stroke Identification Based on EEG and EOG using 1D Convolutional Neural Network and Batch Normalization
Endang Purnama Giri
M. I. Fanany
A. M. Arymurthy
49
57
0
06 Oct 2016
Deep Retinal Image Understanding
Deep Retinal Image Understanding
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Pablo Arbeláez
Luc Van Gool
103
508
0
05 Sep 2016
Unsupervised and Semi-supervised Learning with Categorical Generative
  Adversarial Networks
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Jost Tobias Springenberg
GAN
82
745
0
19 Nov 2015
Deep Feature Learning for EEG Recordings
Deep Feature Learning for EEG Recordings
Sebastian Stober
Avital Sternin
A. Owen
Jessica A. Grahn
49
131
0
13 Nov 2015
Fast and Accurate Recurrent Neural Network Acoustic Models for Speech
  Recognition
Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition
Hasim Sak
A. Senior
Kanishka Rao
F. Beaufays
81
436
0
24 Jul 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
150,006
0
22 Dec 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
254
10,407
0
06 Nov 2014
Constructing Long Short-Term Memory based Deep Recurrent Neural Networks
  for Large Vocabulary Speech Recognition
Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition
Xiangang Li
Xihong Wu
65
309
0
16 Oct 2014
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