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A deep learning approach for lower back-pain risk prediction during
  manual lifting

A deep learning approach for lower back-pain risk prediction during manual lifting

20 March 2020
K. Snyder
Thomas Brennan
Ming-Lun Lu
Rashmi Jha
Menekse S. Barim
Marie Hayden
D. Werren
    HAI
ArXivPDFHTML

Papers citing "A deep learning approach for lower back-pain risk prediction during manual lifting"

7 / 7 papers shown
Title
Deep, Convolutional, and Recurrent Models for Human Activity Recognition
  using Wearables
Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables
Nils Y. Hammerla
Shane Halloran
T. Plötz
HAI
BDL
29
879
0
29 Apr 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
229
149,474
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
499
99,991
0
04 Sep 2014
Long Short-Term Memory Based Recurrent Neural Network Architectures for
  Large Vocabulary Speech Recognition
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition
Hasim Sak
A. Senior
F. Beaufays
45
1,049
0
05 Feb 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
63
7,252
0
20 Dec 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
314
7,650
0
03 Jul 2012
L2 Regularization for Learning Kernels
L2 Regularization for Learning Kernels
Corinna Cortes
M. Mohri
Afshin Rostamizadeh
47
443
0
09 May 2012
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