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Combining a Convolutional Neural Network with Autoencoders to Predict
  the Survival Chance of COVID-19 Patients

Combining a Convolutional Neural Network with Autoencoders to Predict the Survival Chance of COVID-19 Patients

18 April 2021
F. Khozeimeh
Danial Sharifrazi
N. H. Izadi
Javad Hassannataj Joloudari
A. Shoeibi
R. Alizadehsani
Juan M Gorriz
Sadiq Hussain
Z. Sani
H. Moosaei
Abbas Khosravi
S. Nahavandi
Sheikh Mohammed Shariful Islam
ArXivPDFHTML

Papers citing "Combining a Convolutional Neural Network with Autoencoders to Predict the Survival Chance of COVID-19 Patients"

2 / 2 papers shown
Title
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and
  Limited Labeled COVID-19 Data
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data
R. Alizadehsani
Danial Sharifrazi
N. H. Izadi
Javad Hassannataj Joloudari
A. Shoeibi
...
F. Khozeimeh
Abbas Khosravi
S. Nahavandi
Sheikh Mohammed Shariful Islam
U. Acharya
9
58
0
12 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
1