Hector Sanz

BMC Bioinformatics · with Oller · 2018

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 Hector Sanz trusts overall

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

  1. Christopher K. I. Williams
  2. David Ruppert

Papers from Hector Sanz's perspective

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

  1. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  2. Statistics and Data Analysis for Financial Engineering
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Histograms of oriented gradients for human detection
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers