Javier Sánchez-Monedero

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Javier Sánchez-Monedero trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. Richard Williams
  3. Alex Smola

Papers from Javier Sánchez-Monedero's perspective

Ordered by how strongly the researchers Javier Sánchez-Monedero trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Multitask Learning
  2. LIBSVM: A library for support vector machines
  3. The Elements of Statistical Learning
  4. Large Margin Rank Boundaries for Ordinal Regression
  5. Pranking with Ranking (Neural Information Processing Systems)
  6. Ranking with Large Margin Principle: Two Approaches (Neural Information Processing Systems)
  7. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities
  8. Gaussian Processes for Ordinal Regression (Journal of machine learning research)
  9. Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers