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Application of an ANN and LSTM-Based Ensemble Model for Stock Market Prediction
3 references·0 citing·12 second hop
Application of an ANN and LSTM-Based Ensemble Model for Stock Market Prediction (2024)Application of an ANN and LSTM-Based Ense…Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks (2024)Deception Detection from Ling…Advanced Stock Price Prediction with xLSTM-Based Models: Improving Long-Term Forecasting (2024)Advanced Stock Price Predicti…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)On Persistence in Mutual Fund Performance (1997)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Cues to deception. (2003)Accuracy of Deception Judgments (2006)Detecting Deceptive Behavior via Integration of Discriminative Features From Multiple Modalities (2016)Optimized Credit Score Prediction via an Ensemble Model and SMOTEENN Integration (2024)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Investor Sentiment and the Cross‐Section of Stock Returns (2006)
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References

  • 2017Deep learning with long short-term memory networks for financial market predictions3,010 cited
  • 2024Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks59 cited
  • 2024Advanced Stock Price Prediction with xLSTM-Based Models: Improving Long-Term Forecasting43 cited

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