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Predicting KC-135R aircraft availability with aircraft metrics
Jordan, Johnathan A.; Etemadi, Amir; Grenn, Michael W. - In: IEEE transactions on engineering management : EM 69 (2022) 6,2, pp. 3864-3873
Persistent link: https://www.econbiz.de/10013548740
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Do artificial neural networks provide improved volatility forecasts : evidence from Asian markets
Sahiner, Mehmet; McMillan, David G.; Kambouroudis, Dimos - In: Journal of economics and finance : JEF 47 (2023) 3, pp. 723-762
Persistent link: https://www.econbiz.de/10014380680
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Predicting stock return and volatility with machine learning and econometric models : a comparative case study of the Baltic stock market
Nõu, Anders; Lapitskaya, Darya; Eratalay, M. Hakan; … - In: International journal of computational economics and … 13 (2023) 4, pp. 446-489
Persistent link: https://www.econbiz.de/10014439728
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Volatility forecasting with machine learning and intraday commonality
Zhang, Chao; Cucuringu, Mihai - In: Journal of financial econometrics 22 (2024) 2, pp. 492-530
Persistent link: https://www.econbiz.de/10014526335
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Cryptocurrency price and volatility predictions with machine learning
Poudel, Samir; Paudyal, Rajendra; Cankaya, Burak; … - In: Journal of marketing analytics : JMA 11 (2023) 4, pp. 642-660
Persistent link: https://www.econbiz.de/10014537300
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A neural feature extraction model for classification of firms and prediction of outsourcing success : advantage of using relational sources of information for new suppliers
Medhi, Pankaj Kumar; Mondal, Sandeep - In: International journal of production research 54 (2016) 19/20, pp. 6071-6081
Persistent link: https://www.econbiz.de/10011543743
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Adaptive evolutionary neural networks for forecasting and trading without a data-snooping bias
Sermpinis, Georgios; Verousis, Thanos; Theofilatos, … - In: Journal of forecasting 35 (2016) 1, pp. 1-12
Persistent link: https://www.econbiz.de/10011417657
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Predicting credit card delinquencies : an application of deep neural networks
Sun, Ting; Vasarhelyi, Miklos A. - In: Intelligent systems in accounting finance and … 25 (2018) 4, pp. 174-189
Persistent link: https://www.econbiz.de/10012035532
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Predicting terrorism with machine learning : lessons from "predicting terrorism: a machine learning approach"
Basuchoudhary, Atin; Bang, James T. - In: Peace economics, peace science and public policy 24 (2018) 4, pp. 1-8
Persistent link: https://www.econbiz.de/10011981717
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Design of an Artificial Neural Network battery for an optimal recognition of patterns in financial time series
Fioribello, Simone; Giribone, Pier Giuseppe - In: International journal of financial engineering 5 (2018) 4, pp. 1-17
Persistent link: https://www.econbiz.de/10012028806