A graph‐based convolutional neural network stock price prediction with leading indicators
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Gautam Srivastava | Jerry Chun-Wei Lin | Jimmy Wu | Zhongcui Li | Meng‐Hsiun Tasi | Gautam Srivastava | Chun-Wei Lin | J. Wu | Zhongcui Li | Meng-Hsiun Tsai
[1] Hamido Fujita,et al. BILU-NEMH: A BILU neural-encoded mention hypergraph for mention extraction , 2019, Inf. Sci..
[2] Chun-Hao Chen,et al. A Series-based group stock portfolio optimization approach using the grouping genetic algorithm with symbolic aggregate Approximations , 2017, Knowl. Based Syst..
[3] Yulei Rao,et al. A deep learning framework for financial time series using stacked autoencoders and long-short term memory , 2017, PloS one.
[4] Thomas Fischer,et al. Deep learning with long short-term memory networks for financial market predictions , 2017, Eur. J. Oper. Res..
[5] Luis E. Zárate,et al. Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index - Case study of PETR4, Petrobras, Brazil , 2013, Expert Syst. Appl..
[6] Ahmad Sharmi Abdullah,et al. A Stock Market Trading System Using Deep Neural Network , 2017, AsiaSim 2017.
[7] Gautam Srivastava,et al. Fast and Accurate Convolution Neural Network for Detecting Manufacturing Data , 2021, IEEE Transactions on Industrial Informatics.
[8] Ronald J. Williams,et al. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.
[9] Xinyu Pan,et al. Decision game of data sharing in supply chain enterprises considering data value over time , 2018, The Journal of Supercomputing.
[10] Geeta Sikka,et al. Recent Techniques of Clustering of Time Series Data: A Survey , 2012 .
[11] Han-Chieh Chao,et al. A Rule-Based Dynamic Decision-Making Stock Trading System Based on Quantum-Inspired Tabu Search Algorithm , 2014, IEEE Access.
[12] Pei Hu,et al. New Hybrid Algorithms for Prediction of Daily Load of Power Network , 2019, Applied Sciences.
[13] Ingoo Han,et al. Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index , 2000 .
[14] Saman Haratizadeh,et al. CNNpred: CNN-based stock market prediction using a diverse set of variables , 2019, Expert Syst. Appl..
[15] Geoffrey E. Hinton,et al. Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[16] Chun-Hao Chen,et al. Actionable Stock Portfolio Mining by Using Genetic Algorithms , 2016, J. Inf. Sci. Eng..
[17] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[18] Hakan Gunduz,et al. Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations , 2017, Knowl. Based Syst..
[19] Kai Chen,et al. A LSTM-based method for stock returns prediction: A case study of China stock market , 2015, 2015 IEEE International Conference on Big Data (Big Data).
[20] Dirk Neumann,et al. Automated news reading: Stock price prediction based on financial news using context-capturing features , 2013, Decis. Support Syst..
[21] Wen Long,et al. Deep learning-based feature engineering for stock price movement prediction , 2019, Knowl. Based Syst..
[22] Adriano C. M. Pereira,et al. Stock market's price movement prediction with LSTM neural networks , 2017, 2017 International Joint Conference on Neural Networks (IJCNN).
[23] Mark P. Taylor,et al. The use of technical analysis in the foreign exchange market , 1992 .
[24] Xiaola Lin,et al. Feature extraction using Restricted Boltzmann Machine for stock price prediction , 2012, 2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE).
[25] Chun-Wei Lin,et al. A Bi-LSTM mention hypergraph model with encoding schema for mention extraction , 2019, Eng. Appl. Artif. Intell..
[26] Xiao Zhong,et al. Forecasting daily stock market return using dimensionality reduction , 2017, Expert Syst. Appl..
[27] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[28] Unil Yun,et al. Enhanced sequence labeling based on latent variable conditional random fields , 2020, Neurocomputing.
[29] M. W Gardner,et al. Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences , 1998 .
[30] Shu-Yu Kuo,et al. Dynamic stock trading system based on Quantum-inspired Tabu Search algorithm , 2013, 2013 IEEE Congress on Evolutionary Computation.
[31] Pei Hu,et al. Novel Parallel Heterogeneous Meta-Heuristic and Its Communication Strategies for the Prediction of Wind Power , 2019, Processes.
[32] Zeshui Xu,et al. Pythagorean fuzzy MULTIMOORA method based on distance measure and score function: its application in multicriteria decision making process , 2020, Knowledge and Information Systems.