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Data science in economics: comprehensive review of advanced machine learning and deep learning methods
16 references·0 citing·52 second hopsampled
Data science in economics: comprehensive review of advanced machine learning and deep learning methods (2020)Data science in economics: comprehensive …Universal features of price formation in financial markets: perspectives from deep learning (2019)Universal features of price f…Portfolio formation with preselection using deep learning from long-term financial data (2019)Portfolio formation with pres…Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques (2019)Digital currency forecasting …A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)A Churn Prediction Model Usin…Predicting short-term stock prices using ensemble methods and online data sources (2018)Predicting short-term stock p…Deep learning-based feature engineering for stock price movement prediction (2018)Deep learning-based feature e…Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network (2018)Deep Learning Approach for Sh…Cryptocurrency forecasting with deep learning chaotic neural networks (2018)Cryptocurrency forecasting wi…The age of mobile social commerce: An Artificial Neural Network analysis on its resistances (2017)The age of mobile social comm…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning networks for st…Cryptocurrency portfolio management with deep reinforcement learning (2017)Cryptocurrency portfolio mana…A survey on deep learning for big data (2017)A survey on deep learning for…A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A deep learning framework for…Stock prediction using deep learning (2016)Stock prediction using deep l…The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (2009)The PRISMA statement for repo…Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Using artificial neural network models in stock market index prediction (2011)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM (2020)Portfolio optimization with return prediction using deep learning and machine learning (2020)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Does the Stock Market Overreact? 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References

  • 2009The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration3,375 cited
  • 2017Deep learning with long short-term memory networks for financial market predictions3,010 cited
  • 2017A survey on deep learning for big data1,239 cited
  • 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,177 cited
  • 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies833 cited
  • 2018Deep learning-based feature engineering for stock price movement prediction483 cited
  • 2019A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector394 cited
  • 2019Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques388 cited
  • 2018Cryptocurrency forecasting with deep learning chaotic neural networks376 cited
  • 2016Stock prediction using deep learning339 cited
  • 2017Cryptocurrency portfolio management with deep reinforcement learning298 cited
  • 2017The age of mobile social commerce: An Artificial Neural Network analysis on its resistances285 cited
  • 2018Predicting short-term stock prices using ensemble methods and online data sources278 cited

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2018
Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network
272 cited
  • 2019Universal features of price formation in financial markets: perspectives from deep learning267 cited
  • 2019Portfolio formation with preselection using deep learning from long-term financial data219 cited
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