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Deep Epidemiological Modeling by Black-box Knowledge Distillation: An
  Accurate Deep Learning Model for COVID-19

Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19

20 January 2021
Dongdong Wang
Shunpu Zhang
Liqiang Wang
ArXivPDFHTML

Papers citing "Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19"

2 / 2 papers shown
Title
ChatGPT for Shaping the Future of Dentistry: The Potential of
  Multi-Modal Large Language Model
ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model
Hanyao Huang
Ou Zheng
Dongdong Wang
Jiayi Yin
Zijin Wang
...
H. Yin
Chuan Xu
Renjie Yang
Q. Zheng
B. Shi
MedIm
AI4MH
AI4CE
LM&MA
58
176
0
23 Mar 2023
Composite Monte Carlo Decision Making under High Uncertainty of Novel
  Coronavirus Epidemic Using Hybridized Deep Learning and Fuzzy Rule Induction
Composite Monte Carlo Decision Making under High Uncertainty of Novel Coronavirus Epidemic Using Hybridized Deep Learning and Fuzzy Rule Induction
S. Fong
Gloria Li
N. Dey
R. G. Crespo
E. Herrera-Viedma
85
188
0
22 Mar 2020
1