Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Stock market value prediction using neural networks
Application Of Neural Network To Technical Analysis Of Stock Market Prediction
stock market direction prediction using deep neural networks .
Stock Price Prediction With Long Short-Term Memory Recurrent Neural Network
Application of Bayesian Network to stock price prediction
An empirical methodology for developing stockmarket trading systems using artificial neural networks
Prediction Model of Stock Prices Based on Correlative Analysis and Neural Networks
A Bayesian regularized artificial neural network for stock market forecasting
Evaluating and understanding text-based stock price prediction models
Stock price trend prediction using Artificial Neural Network techniques: Case study: Thailand stock exchange
A Machine Learning Model for Stock Market Prediction
Deep learning for event-driven stock prediction
Predicting the Brazilian stock market through neural networks and adaptive exponential smoothing methods
A machine learning approach for stock price prediction
Stock Market Prediction
Kernel principal component analysis and support vector machines for stock price prediction
Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model
Empirical analysis: stock market prediction via extreme learning machine
Improvement methods for stock market prediction using financial news articles
Forecasting closing price indices using neural networks
A neural network with a case based dynamic window for stock trading prediction
Estimating Defect Density Using Test Coverage
Augmented Reality: An Overview and Five Directions for AR in Education
Some new results on neural network approximation
A reinforcement learning approach to power control and rate adaptation in cellular networks
Why do we trust new technology? A study of initial trust formation with organizational information systems