potentially leading to adverse effects. Overall, the predictive models provide valuable insights for companies, enabling them to …

last decade. Therefore, there is an immediate need to design more effective predictive systems of house prices. Indeed …, investors, creditors, and governments are all interested in such predictive systems to improve their buying and lending … ability of each predictive system. The experimental results showed that boosting ensemble regression trees performed the best …

approach based on the combined use of Long Short-Term Memory (LSTM) neural networks and Bayesian inference for the predictive …

data is not available for training neural networks (NN). While predictive applications of neural networks are growing, a …

predictive value of accruals and cash flow measures to determine entities' stock value and future cash flows, respectively. The …