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Eagle Strategy Arithmetic Optimisation Algorithm with Optimal Deep Convolutional Forest Based FinTech Application for Hyper-automation
14 references·0 citing·39 second hopsampled
Eagle Strategy Arithmetic Optimisation Algorithm with Optimal Deep Convolutional Forest Based FinTech Application for Hyper-automation (2023)Eagle Strategy Arithmetic Optimisation Al…Digital Twin: Financial Technology’s Next Frontier of Robo-Advisor (2022)Digital Twin: Financial Techn…Corporate Bankruptcy Prediction Using Machine Learning Methodologies with a Focus on Sequential Data (2021)Corporate Bankruptcy Predicti…Deep learning in finance and banking: A literature review and classification (2020)Deep learning in finance and …Bankruptcy Prediction Using Deep Learning Approach Based on Borderline SMOTE (2020)Bankruptcy Prediction Using D…A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM (2020)A novel deep learning framewo…Predicting distresses using deep learning of text segments in annual reports (2019)Predicting distresses using d…Multimodal deep learning for finance: integrating and forecasting international stock markets (2019)Multimodal deep learning for …An overview of bankruptcy prediction models for corporate firms: A Systematic literature review (2019)An overview of bankruptcy pre…A Hybrid Approach Using Oversampling Technique and Cost‐Sensitive Learning for Bankruptcy Prediction (2019)A Hybrid Approach Using Overs…ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module (2018)ModAugNet: A new forecasting …Bankruptcy prediction using neural networks (2018)Bankruptcy prediction using n…Bankruptcy prediction using imaged financial ratios and convolutional neural networks (2018)Bankruptcy prediction using i…A Survey on Machine Learning and Statistical Techniques in Bankruptcy Prediction (2018)A Survey on Machine Learning …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)The Behavior of Stock-Market Prices (1965)Time Series Analysis Forecasting and Control. 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References

  • 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
  • 2018ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module373 cited
  • 2018Bankruptcy prediction using imaged financial ratios and convolutional neural networks322 cited
  • 2020Deep learning in finance and banking: A literature review and classification250 cited
  • 2020A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM237 cited
  • 2020Bankruptcy Prediction Using Deep Learning Approach Based on Borderline SMOTE129 cited
  • 2019An overview of bankruptcy prediction models for corporate firms: A Systematic literature review125 cited
  • 2019Predicting distresses using deep learning of text segments in annual reports103 cited
  • 2021Corporate Bankruptcy Prediction Using Machine Learning Methodologies with a Focus on Sequential Data94 cited
  • 2019A Hybrid Approach Using Oversampling Technique and Cost‐Sensitive Learning for Bankruptcy Prediction92 cited
  • 2022Digital Twin: Financial Technology’s Next Frontier of Robo-Advisor82 cited
  • 2019Multimodal deep learning for finance: integrating and forecasting international stock markets77 cited
  • 2018A Survey on Machine Learning and Statistical Techniques in Bankruptcy Prediction70 cited

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Bankruptcy prediction using neural networks
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