Pablo F. Verdes

2005

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Pablo F. Verdes trusts overall

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

  1. Leo Breiman
  2. Jerome H. Friedman
  3. Yoav Freund
  4. Stuart Geman
  5. Trevor J. Hastie
  6. Zhi-Hua Zhou
  7. Robert E. Schapire
  8. K. Müller
  9. Alex Smola

Papers from Pablo F. Verdes's perspective

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

  1. Bagging Predictors
  2. A decision-theoretic generalization of on-line learning and an application to boosting
  3. Random Forests
  4. Greedy function approximation: A gradient boosting machine.
  5. Neural Networks and the Bias/Variance Dilemma
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Predicting Time Series with Support Vector Machines
  10. Learning Multiple Layers of Features from Tiny Images

Their papers