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Bitcoin Price Forecasting: An Integrated Approach Using Hybrid LSTM-ELM Models
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Bitcoin Price Forecasting: An Integrated Approach Using Hybrid LSTM-ELM Models (2022)Bitcoin Price Forecasting: An Integrated …Forecasting Bitcoin Price Direction With Random Forests: How Important Are Interest Rates, Inflation, and Market Volatility? 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Fossil vs. renewable and low-carbon energy assets (2023)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China (2024)Predictions of steel price indices through machine learning for the regional northeast Chinese market (2024)Thermal coal futures trading volume predictions through the neural network (2024)Fuzzy sets (1965)Time series forecasting using a hybrid ARIMA and neural network model (2003)Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks (2022)Forecasting carbon price trends based on an interpretable light gradient boosting machine and Bayesian optimization (2023)Hybrid carbon price forecasting using a deep augmented FEDformer model and multimodel optimization piecewise error correction (2024)Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning (2018)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Deep neural networks with L1 and L2 regularization for high dimensional corporate credit risk prediction (2022)Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)Machine Learning for Credit Risk Prediction: A Systematic Literature Review (2023)
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References

  • 2017Exploring the Dynamic Relationships between Cryptocurrencies and Other Financial Assets1,380 cited
  • 2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm705 cited
  • 2018Predicting the Price of Bitcoin Using Machine Learning690 cited
  • 2021A hybrid model for carbon price forecastingusing GARCH and long short-term memory network316 cited
  • 2018A hybrid volatility forecasting framework integrating GARCH, artificial neural network, technical analysis and principal components analysis226 cited
  • 2018Bitcoin technical trading with artificial neural network165 cited
  • 2018Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis156 cited
  • 2020Tail dependence between Bitcoin and financial assets: Evidence from a quantile cross-spectral approach130 cited
  • 2022A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network122 cited
  • 2021A combination forecasting model based on hybrid interval multi-scale decomposition: Application to interval-valued carbon price forecasting122 cited
  • 2020CNN-based multivariate data analysis for bitcoin trend prediction118 cited
  • 2019Forecasting Bitcoin risk measures: A robust approach107 cited
  • 2022Forecasting Bitcoin Price Direction With Random Forests: How Important Are Interest Rates, Inflation, and Market Volatility?

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107 cited
  • 2021A combined architecture of multivariate LSTM with Mahalanobis and Z-Score transformations for oil price forecasting102 cited
  • 2019Predicting monthly biofuel production using a hybrid ensemble forecasting methodology100 cited
  • 2020Learning and predictability via technical analysis: Evidence from bitcoin and stocks with hard‐to‐value fundamentals97 cited
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