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Probabilistic modeling of lake surface water temperature using a
  Bayesian spatio-temporal graph convolutional neural network

Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network

27 September 2021
M. Stalder
Firat Ozdemir
A. Safin
J. Sukys
D. Bouffard
F. Pérez-Cruz
ArXivPDFHTML

Papers citing "Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network"

2 / 2 papers shown
Title
Time Series Predictions in Unmonitored Sites: A Survey of Machine
  Learning Techniques in Water Resources
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources
J. Willard
C. Varadharajan
X. Jia
Vipin Kumar
AI4TS
17
3
0
18 Aug 2023
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
261
9,134
0
06 Jun 2015
1