Mojtaba Nabipour

Management Science and Operations Research · 2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mojtaba Nabipour 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
  7. Yanqiang Zhou
  8. Lin Chen
  9. Ha Young Kim
  10. Michael A. Arbib

Who trusts Mojtaba Nabipour overall

  1. Ahmed El Ouadrhiri
  2. Ahmed M Abdelhadi

Papers from Mojtaba Nabipour's perspective

Ordered by how strongly the researchers Mojtaba Nabipour 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. Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange
  3. A fusion model of HMM, ANN and GA for stock market forecasting
  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