Performance Comparison of Deep Learning and Boosted Trees for Cryptocurrency Closing Price Prediction-Reference-Cited by-同舟云学术

Performance Comparison of Deep Learning and Boosted Trees for Cryptocurrency Closing Price Prediction

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Oyedele Azeez A.,Ajayi Anuoluwapo,Oyedele Lukumon,Bello Sururah A.,Jimoh Kudirat O.

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference34 articles.

1. Optimised big data analytics for health and safety hazards prediction in power infrastructure operations;A Ajayi;Safety Science,2020

2. Deep learning models for health and safety risk prediction in power infrastructure projects;A Ajayi;Risk Analysis,2020

3. Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators;S Alonso-Monsalve;Expert Systems with Applications,2020

4. Bitcoin price forecasting with neuro-fuzzy techniques;G S Atsalakis;European Journal of Operational Research,2019

5. Ensemble of machine learning algorithms for cryptocurrency investment with different data resampling methods;T Borges;Applied Soft Computing Journal,2020

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