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ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG
  Identification

ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification

30 January 2018
Subhrajit Roy
Isabell Kiral-Kornek
S. Harrer
ArXivPDFHTML

Papers citing "ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification"

14 / 14 papers shown
Title
EEG-Language Modeling for Pathology Detection
EEG-Language Modeling for Pathology Detection
Sam Gijsen
Kerstin Ritter
96
2
0
02 Sep 2024
Partial Label Learning for Emotion Recognition from EEG
Partial Label Learning for Emotion Recognition from EEG
Guangyi Zhang
Ali Etemad
73
3
0
25 Feb 2023
Deep Architectures for Automated Seizure Detection in Scalp EEGs
Deep Architectures for Automated Seizure Detection in Scalp EEGs
M. Golmohammadi
S. Ziyabari
V. Shah
S. Diego
I. Obeid
J. Picone
43
55
0
28 Dec 2017
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
R. Schirrmeister
Lukas A. W. Gemein
Katharina Eggensperger
Frank Hutter
T. Ball
MedIm
71
149
0
26 Aug 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
Comparative Study of CNN and RNN for Natural Language Processing
Comparative Study of CNN and RNN for Natural Language Processing
Wenpeng Yin
Katharina Kann
Mo Yu
Hinrich Schütze
67
987
0
07 Feb 2017
Convolutional Recurrent Neural Networks for Music Classification
Convolutional Recurrent Neural Networks for Music Classification
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
Kyunghyun Cho
396
476
0
14 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
762
36,781
0
25 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
577
12,702
0
11 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
449
43,635
0
17 Sep 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
237
6,775
0
03 Sep 2014
Generating Sequences With Recurrent Neural Networks
Generating Sequences With Recurrent Neural Networks
Alex Graves
GAN
146
4,033
0
04 Aug 2013
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