A. Morais

with Cortez · 2007

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom A. Morais trusts overall

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

  1. David Ruppert
  2. Ron Kohavi
  3. Alex Smola
  4. Chih-Wei Hsu
  5. Vladimir Cherkassky
  6. Leo Breiman
  7. David J. Hand
  8. R. Kewley
  9. Chih-Wei Hsu
  10. Trevor J. Hastie

Papers from A. Morais's perspective

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

  1. Random Forests
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. The Nature of Statistical Learning Theory
  4. Classification and regression trees
  5. A tutorial on support vector regression
  6. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  7. ImageNet classification with deep convolutional neural networks
  8. Data strip mining for the virtual design of pharmaceuticals with neural networks
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. A Practical Guide to Support Vector Classication

Their papers