most citedFinancial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach

36 citations · 36 across the 1 of their papers we have counts for

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cs.LG2023★ 36 cited

Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach

Shun Liu, Kexin Wu, Chufeng Jiang +2

In the realm of cryptocurrency, the prediction of Bitcoin prices has garnered substantial attention due to its potential impact on financial markets and investment strategies. This…