R. Morán

2017

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

Whom R. Morán trusts overall

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

  1. David Ruppert
  2. Trevor J. Hastie

Papers from R. Morán's perspective

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

  1. Neural Networks for Pattern Recognition
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. Opening black box Data Mining models using Sensitivity Analysis
  4. A tutorial on support vector regression
  5. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition
  6. Review and comparison of methods to study the contribution of variables in artificial neural network models
  7. Illuminating the “black box”: a randomization approach for understanding variable contributions in artificial neural networks
  8. Hydrostatic, Temperature, Time-Displacement Model for Concrete Dams
  9. ARTIFICIAL NEURAL NETWORKS IN HYDROLOGY: II, HYDROLOGIC APPLICATIONS
  10. Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models

Their papers