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Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection

Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection

Rushuang Zhou
Zijun Liu
Lei A. Clifton
David A. Clifton
Kannie W. Y. Chan
Yuan-Ting Zhang
Yining Dong
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Papers citing "Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection"

3 / 3 papers shown
Title
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study
Rushuang Zhou
Lei Lu
Zijun Liu
Ting Xiang
Zhen Liang
David A. Clifton
Yining Dong
Yuanyuan Zhang
27
10
0
18 Jun 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
213
848
0
15 Oct 2021