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~isPartOf:"Computational economics"
~isPartOf:"Journal of forecasting"
~isPartOf:"Operations research"
~subject:"Pattern recognition"
~subject:"Regressionsanalyse"
~subject:"machine learning"
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Search: subject_exact:"KI (Künstliche Intelligenz)"
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Pattern recognition
Regressionsanalyse
machine learning
Artificial intelligence
134
Künstliche Intelligenz
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60
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60
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Gkonkas, Periklēs
3
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2
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2
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2
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1
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Computational economics
Journal of forecasting
Operations research
International journal of production research
44
Risks : open access journal
35
Journal of risk and financial management : JRFM
27
Management science : journal of the Institute for Operations Research and the Management Sciences
27
Discussion paper series / IZA
20
CESifo working papers
16
INFORMS journal on applied analytics
15
Working papers
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Discussion paper
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INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences
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Production and operations management : the flagship research journal of the Production and Operations Management Society
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Interfaces : the INFORMS journal on the practice of operations research
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International journal of business information systems : IJBIS
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International journal of networking and virtual organisations : IJNVO
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ECONIS (ZBW)
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1
Stock picking with machine learning
Wolff, Dominik
;
Echterling, Fabian
- In:
Journal of forecasting
43
(
2024
)
1
,
pp. 81-102
Persistent link: https://www.econbiz.de/10014443186
Saved in:
2
Bitcoin price prediction : a machine learning sample dimension approach
Ranjan, Sumit
;
Kayal, Parthajit
;
Saraf, Malvika
- In:
Computational economics
61
(
2023
)
4
,
pp. 1617-1636
Persistent link: https://www.econbiz.de/10014327096
Saved in:
3
Predict stock prices using supervised learning algorithms and particle swarm optimization algorithm
Bazrkar, Mohammad Javad
;
Hosseini, Soodeh
- In:
Computational economics
62
(
2023
)
1
,
pp. 165-186
Persistent link: https://www.econbiz.de/10014327292
Saved in:
4
Recession forecasting with high-dimensional data
Nevasalmi, Lauri
- In:
Journal of forecasting
41
(
2022
)
4
,
pp. 752-764
Persistent link: https://www.econbiz.de/10013287849
Saved in:
5
Uncertainty and forecastability of regional output growth in the UK : evidence from machine learning
Balcilar, Mehmet
;
Gabauer, David
;
Gupta, Rangan
; …
- In:
Journal of forecasting
41
(
2022
)
6
,
pp. 1049-1064
Persistent link: https://www.econbiz.de/10013465678
Saved in:
6
Subsampled factor models for asset pricing : the rise of Vasa
De Nard, Gianluca
;
Hediger, Simon
;
Leippold, Markus
- In:
Journal of forecasting
41
(
2022
)
6
,
pp. 1217-1247
Persistent link: https://www.econbiz.de/10013465694
Saved in:
7
Using deep (machine) learning to forecast US inflation in the COVID-19 era
Stoneman, David
;
Duca, John V.
- In:
Journal of forecasting
43
(
2024
)
4
,
pp. 894-902
Persistent link: https://www.econbiz.de/10014554047
Saved in:
8
Big data financial transactions and GDP nowcasting : the case of Turkey
Barlas, Ali B.
;
Mert, Seda Guler
;
Isa, Berk Orkun
; …
- In:
Journal of forecasting
43
(
2024
)
2
,
pp. 227-248
Persistent link: https://www.econbiz.de/10014475297
Saved in:
9
A classification application for using learning methods in bank costumer's portfolio churn
Simsek, Murat
;
Tas, Iclal Cetin
- In:
Journal of forecasting
43
(
2024
)
2
,
pp. 391-401
Persistent link: https://www.econbiz.de/10014475344
Saved in:
10
Unit roots in macroeconomic time series : a comparison of classical, Bayesian and machine learning approaches
Ahmad, Yamin
;
Check, Adam
;
Lo, Ming Chien
- In:
Computational economics
63
(
2024
)
6
,
pp. 2139-2173
Persistent link: https://www.econbiz.de/10014636725
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