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Gkonkas, Periklēs
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Computational economics
International journal of forecasting
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1
An integrated approach to forecasting intermittent
demand
for electric power materials
Jiang, Aiping
;
Chi, Qiuguo
;
Gao, Junjun
;
Wu, Maoguo
- In:
Computational economics
53
(
2019
)
4
,
pp. 1309-1335
Persistent link: https://www.econbiz.de/10012135133
Saved in:
2
Evaluating the performance of metaheuristic based artificial neural networks for cryptocurrency forecasting
Behera, Sudersan
;
Nayak, Sarat
;
Kumar, A. V. S. Pavan
- In:
Computational economics
64
(
2024
)
2
,
pp. 1219-1258
Persistent link: https://www.econbiz.de/10015078086
Saved in:
3
Benchmark analysis of machine learning methods to forecast the U.S. annual inflation rate during a high-decile inflation period
Malladi, Rama K.
- In:
Computational economics
64
(
2024
)
1
,
pp. 335-375
Persistent link: https://www.econbiz.de/10015078028
Saved in:
4
Yield curve and recession forecasting in a Machine Learning framework
Gkonkas, Periklēs
;
Papadimitriou, Theophilos
; …
- In:
Computational economics
45
(
2015
)
4
,
pp. 635-645
Persistent link: https://www.econbiz.de/10011440977
Saved in:
5
Corporate bankruptcy prediction using machine learning methodologies with a focus on sequential data
Kim, Hyeongjun
;
Cho, Hoon
;
Ryu, Doojin
- In:
Computational economics
59
(
2022
)
3
,
pp. 1231-1249
Persistent link: https://www.econbiz.de/10013169352
Saved in:
6
A comparison of various artificial intelligence methods in the prediction of bank failures
Erdal, Halil İbrahim
;
Ekinci, Aykut
- In:
Computational economics
42
(
2013
)
2
,
pp. 199-215
Persistent link: https://www.econbiz.de/10009775733
Saved in:
7
A computational model to predict consumer behaviour during COVID-19 pandemic
Safara, Fatemeh
- In:
Computational economics
59
(
2022
)
4
,
pp. 1525-1538
Persistent link: https://www.econbiz.de/10013261998
Saved in:
8
Time-varying dictionary and the predictive power of FED minutes
Lima, Luiz Renato
;
Godeiro, Lucas Lúcio
;
Mohsin, Mohammed
- In:
Computational economics
57
(
2021
)
1
,
pp. 149-181
Persistent link: https://www.econbiz.de/10012486887
Saved in:
9
Forecasting of real GDP growth using machine learning models : gradient boosting and random forest approach
Yoon, Jaehyun
- In:
Computational economics
57
(
2021
)
1
,
pp. 247-265
Persistent link: https://www.econbiz.de/10012486898
Saved in:
10
Gold against the machine
Plakandaras, Vasilios
;
Gkonkas, Periklēs
; …
- In:
Computational economics
57
(
2021
)
1
,
pp. 5-28
Persistent link: https://www.econbiz.de/10012486908
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