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Search: subject:"Deep Neural Networks"
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Neural networks
39
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39
Theorie
26
Theory
26
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21
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21
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21
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deep neural networks
18
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17
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10
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machine learning
9
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5
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Agarwal, Sonali
2
Anderson, David
2
Enke, David
2
Handmann, Uwe
2
Kremsner, Stefan
2
Steinicke, Alexander
2
Szölgyenyi, Michaela
2
Ulrych, Urban
2
Wehrmann, Maximilian
2
Yakovchuk, Oleg
2
Zengeler, Nico
2
Zhong, Xiao
2
Aloui, Riadh
1
Arin, Efe
1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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European journal of operational research : EJOR
3
Journal of forecasting
3
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Les cahiers du GERAD
2
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2
Technology audit and production reserves
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AStA Advances in Statistical Analysis
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1
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1
Global business review
1
International journal of networking and virtual organisations : IJNVO
1
International transactions in operational research : a journal of the International Federation of Operational Research Societies
1
Journal of Risk and Financial Management
1
Journal of financial econometrics
1
Journal of information & knowledge management : JIKM
1
Journal of mathematical finance
1
Journal of open innovation : technology, market, and complexity
1
Journal of risk and financial management : JRFM
1
Journal of the Operational Research Society
1
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Research paper series / Swiss Finance Institute
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Risks
1
Risks : open access journal
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Staff working papers / Bank of England
1
Strategic system assurance and business analytics
1
The journal of behavioral finance : a publication of the Institute of Psychology and Markets and LEA
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1
Theoretical economics letters
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ECONIS (ZBW)
39
EconStor
4
Other ZBW resources
1
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21
Public subsidies and innovation : a doubly robust machine learning approach leveraging
deep
neural
networks
Varaku, Kerda
;
Sickles, Robin C.
- In:
Empirical economics : a quarterly journal of the …
64
(
2023
)
6
,
pp. 3121-3165
Persistent link: https://www.econbiz.de/10014329026
Saved in:
22
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness
Bouška, Michal
;
Šůcha, Přemysl
;
Novak, Antonin
; …
- In:
European journal of operational research : EJOR
308
(
2023
)
3
,
pp. 990-1006
Persistent link: https://www.econbiz.de/10014311872
Saved in:
23
Intraday market predictability : a machine learning approach
Huddleston, Dillon
;
Liu, Fred
;
Stentoft, Lars
- In:
Journal of financial econometrics
21
(
2023
)
2
,
pp. 485-527
Persistent link: https://www.econbiz.de/10014314759
Saved in:
24
A deep neural network algorithm for semilinear elliptic PDEs with applications in insurance mathematics
Kremsner, Stefan
;
Steinicke, Alexander
;
Szölgyenyi, …
- In:
Risks
8
(
2020
)
4
,
pp. 1-18
equations-are approximated by means of
deep
neural
networks
. …
Persistent link: https://www.econbiz.de/10013200669
Saved in:
25
A deep neural network algorithm for semilinear elliptic PDEs with applications in insurance mathematics
Kremsner, Stefan
;
Steinicke, Alexander
;
Szölgyenyi, …
- In:
Risks : open access journal
8
(
2020
)
4/136
,
pp. 1-18
equations-are approximated by means of
deep
neural
networks
. …
Persistent link: https://www.econbiz.de/10012391761
Saved in:
26
Predicting the daily return direction of the stock market using hybrid machine learning algorithms
Zhong, Xiao
;
Enke, David
- In:
Financial Innovation
5
(
2019
)
1
,
pp. 1-20
market returns, especially when using powerful machine learning techniques, such as
deep
neural
networks
(DNNs), to perform …
Persistent link: https://www.econbiz.de/10012602820
Saved in:
27
Predicting the daily return direction of the stock market using hybrid machine learning algorithms
Zhong, Xiao
;
Enke, David
- In:
Financial innovation : FIN
5
(
2019
)
24
,
pp. 1-20
market returns, especially when using powerful machine learning techniques, such as
deep
neural
networks
(DNNs), to perform …
Persistent link: https://www.econbiz.de/10012266935
Saved in:
28
Deep learning-based sentiment analysis : establishing customer dimension as the lifeblood of business management
Agarwal, Sonali
- In:
Global business review
23
(
2022
)
1
,
pp. 119-136
Persistent link: https://www.econbiz.de/10012822096
Saved in:
29
An algorithm selection approach for the flexible job shop scheduling problem : choosing constraint programming solvers through machine learning
Müller, David
;
Müller, Marcus G.
;
Kress, Dominik
; …
- In:
European journal of operational research : EJOR
302
(
2022
)
3
,
pp. 874-891
Persistent link: https://www.econbiz.de/10013363794
Saved in:
30
Employing google trends and deep learning in forecasting financial market turbulence
Petropoulos, Anastasios
;
Siakoulis, Vasileios
; …
- In:
The journal of behavioral finance : a publication of …
23
(
2022
)
3
,
pp. 353-365
Persistent link: https://www.econbiz.de/10013353015
Saved in:
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