R. Agrawal

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom R. Agrawal trusts overall

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

  1. G. Zhang
  2. Julian J. Faraway
  3. Keith W. Hipel
  4. Kurt Hornik
  5. Johan A. K. Suykens
  6. C. Chatfield

Papers from R. Agrawal's perspective

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

  1. Time series analysis, forecasting and control
  2. Time series modelling of water resources and environmental systems
  3. Time series forecasting with neural networks: a comparative study using the air line data
  4. Statistical Learning Theory
  5. Multilayer feedforward networks are universal approximators
  6. Recurrent least squares support vector machines
  7. A Tutorial on Support Vector Machines for Pattern Recognition
  8. Financial time series prediction using least squares support vector machines within the evidence framework (IEEE Trans. Neural Networks)
  9. Support vector machine with adaptive parameters in financial time series forecasting (IEEE Trans. Neural Networks)
  10. Time series forecasting using a hybrid ARIMA and neural network model

Their papers