Evaluating interpretable machine learning predictions for cryptocurrencies
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El Majzoub, Ahmad, Rabhi, Fethi and Hussain, Walayat 
ORCID: 0000-0003-0610-4006
(2023)
Evaluating interpretable machine learning predictions for cryptocurrencies.
Intelligent Systems in Accounting, Finance and Management, 30 (3).
pp. 137-149.
ISSN 1550-1949
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/47984 |
| DOI | 10.1002/isaf.1538 |
| Official URL | https://onlinelibrary.wiley.com/doi/10.1002/isaf.1... |
| Subjects | Current > FOR (2020) Classification > 3502 Banking, finance and investment Current > FOR (2020) Classification > 4602 Artificial intelligence Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > VU School of Business |
| Keywords | artificial intelligence; cryptocurrency; deep learning; interpretability; machine learning; technical indicators; time series forecasting |
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