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D. Klotz
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D. Klotz
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D. Klotz
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1
A note on leveraging synergy in multiple meteorological data sets with deep learning for rainfall–runoff modeling
by
F. Kratzert
,
D
.
Klotz
,
S. Hochreiter
,
G. S. Nearing
,
G. S. Nearing
Published 2021-05-01
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Article
2
Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets
by
F. Kratzert
,
D
.
Klotz
,
G. Shalev
,
G. Klambauer
,
S. Hochreiter
,
G. Nearing
Published 2019-12-01
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Article
3
Demonstrating the <q>unit hydrograph</q> and flow routing processes involving active student participation – a university lecture experiment
by
K. Schulz
,
R. Burgholzer
,
R. Burgholzer
,
D
.
Klotz
,
J. Wesemann
,
M. Herrnegger
Published 2018-05-01
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Article
4
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
by
F. Kratzert
,
F. Kratzert
,
D
.
Klotz
,
C. Brenner
,
K. Schulz
,
M. Herrnegger
Published 2018-11-01
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Article
5
Rainfall–runoff prediction at multiple timescales with a single Long Short-Term Memory network
by
M. Gauch
,
M. Gauch
,
F. Kratzert
,
D
.
Klotz
,
G. Nearing
,
G. Nearing
,
J. Lin
,
S. Hochreiter
Published 2021-04-01
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Article
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