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A Novel Independent RNN Approach to Classification of Seizures against
  Non-seizures

A Novel Independent RNN Approach to Classification of Seizures against Non-seizures

22 March 2019
Xinghua Yao
Q. Cheng
Guoqiang Zhang
ArXivPDFHTML

Papers citing "A Novel Independent RNN Approach to Classification of Seizures against Non-seizures"

4 / 4 papers shown
Title
Gated Recurrent Networks for Seizure Detection
Gated Recurrent Networks for Seizure Detection
M. Golmohammadi
S. Ziyabari
V. Shah
E. Weltin
C. Campbell
I. Obeid
J. Picone
62
58
0
03 Jan 2018
Subject Selection on a Riemannian Manifold for Unsupervised
  Cross-subject Seizure Detection
Subject Selection on a Riemannian Manifold for Unsupervised Cross-subject Seizure Detection
Samaneh Nasiri Ghosheh Bolagh
Gari D. Clifford
30
11
0
01 Dec 2017
Learning Robust Features using Deep Learning for Automatic Seizure
  Detection
Learning Robust Features using Deep Learning for Automatic Seizure Detection
Pierre Thodoroff
Joelle Pineau
Andrew Lim
OOD
52
292
0
31 Jul 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
448
43,277
0
11 Feb 2015
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