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Deep learning for neuroimaging: a validation study
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Deep learning for neuroimaging: a validation study

Sergey Plis
R. Devon Hjelm
Ruslan Salakhutdinov
Vince D. Calhoun
ArXiv (abs)PDFHTML

Papers citing "Deep learning for neuroimaging: a validation study"

3 / 3 papers shown
Title
An Improved Three-Weight Message-Passing Algorithm
An Improved Three-Weight Message-Passing Algorithm
Nate Derbinsky
José Bento
V. Elser
J. Yedidia
60
39
0
08 May 2013
Improving neural networks by preventing co-adaptation of feature detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
465
7,667
0
03 Jul 2012
Building high-level features using large scale unsupervised learning
Building high-level features using large scale unsupervised learning
Quoc V. Le
MarcÁurelio Ranzato
R. Monga
M. Devin
Kai Chen
G. Corrado
J. Dean
A. Ng
SSLOffRLCVBM
134
2,272
0
29 Dec 2011

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