Pooyan Nayyeri

Management Science and Operations Research · 2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pooyan Nayyeri trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Xiong Wen Pang
  2. Jigar Patel
  3. Y. Kara
  4. Suryoday Basak
  5. Md. Rafiul Hassan
  6. Wei Huang

Who trusts Pooyan Nayyeri overall

  1. Ahmed El Ouadrhiri

Papers from Pooyan Nayyeri's perspective

Ordered by how strongly the researchers Pooyan Nayyeri trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network
  2. A fusion model of HMM, ANN and GA for stock market forecasting
  3. Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange
  4. Machine learning - a probabilistic perspective
  5. Learning long-term dependencies in NARX recurrent neural networks
  6. ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module
  7. Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm
  8. Which Artificial Intelligence Algorithm Better Predicts the Chinese Stock Market?
  9. Deep Learning for Stock Market Prediction (Entropy)
  10. Deep learning-based feature engineering for stock price movement prediction (Knowledge-Based Systems)

Their papers