ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1801.07756
  4. Cited By
Deep Learning for Electromyographic Hand Gesture Signal Classification
  Using Transfer Learning

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

10 January 2018
Ulysse Côté-Allard
C. Fall
Alexandre Drouin
Alexandre Campeau-Lecours
C. Gosselin
K. Glette
François Laviolette
Benoit Gosselin
ArXivPDFHTML

Papers citing "Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning"

18 / 18 papers shown
Title
Spatial Adaptation Layer: Interpretable Domain Adaptation For Biosignal Sensor Array Applications
Spatial Adaptation Layer: Interpretable Domain Adaptation For Biosignal Sensor Array Applications
Joao Pereira
Michael Alummoottil
Dimitrios Halatsis
Dario Farina
35
1
0
12 Sep 2024
Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifolds
Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifolds
H. T. Gowda
Lee M Miller
30
3
0
14 Nov 2023
Adaptive Learning to Speed-Up Control of Prosthetic Hands: a Few Things
  Everybody Should Know
Adaptive Learning to Speed-Up Control of Prosthetic Hands: a Few Things Everybody Should Know
Valentina Gregori
A. Gijsberts
Barbara Caputo
22
10
0
27 Feb 2017
Two-stream convolutional neural network for accurate RGB-D fingertip
  detection using depth and edge information
Two-stream convolutional neural network for accurate RGB-D fingertip detection using depth and edge information
Hengkai Guo
Guijin Wang
Xinghao Chen
23
20
0
23 Dec 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLL
AI4CE
46
2,427
0
15 Jun 2016
Parametric Exponential Linear Unit for Deep Convolutional Neural
  Networks
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
Ludovic Trottier
Philippe Giguère
B. Chaib-draa
55
199
0
30 May 2016
Theano: A Python framework for fast computation of mathematical
  expressions
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
...
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
135
2,338
0
09 May 2016
Revisiting Batch Normalization For Practical Domain Adaptation
Revisiting Batch Normalization For Practical Domain Adaptation
Yanghao Li
Naiyan Wang
Jianping Shi
Jiaying Liu
Xiaodi Hou
OOD
56
584
0
15 Mar 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network
EIE: Efficient Inference Engine on Compressed Deep Neural Network
Song Han
Xingyu Liu
Huizi Mao
Jing Pu
A. Pedram
M. Horowitz
W. Dally
104
2,453
0
04 Feb 2016
Quantized Convolutional Neural Networks for Mobile Devices
Quantized Convolutional Neural Networks for Mobile Devices
Jiaxiang Wu
Cong Leng
Yuhang Wang
Qinghao Hu
Jian Cheng
MQ
65
1,163
0
21 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
249
747
0
06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
476
9,233
0
06 Jun 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
345
9,418
0
28 May 2015
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
328
43,154
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
200
18,534
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
840
149,474
0
22 Dec 2014
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
148
8,309
0
06 Nov 2014
1