Fernando Díaz

Artificial Intelligence · with Corchado · 2007–2016

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fernando Díaz trusts overall

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

  1. Ralf Klinkenberg
  2. Jerome H. Friedman
  3. Vladimir Naumovich Vapni
  4. Ron Kohavi
  5. Ludmila I. Kuncheva
  6. Robert E. Schapire

Papers from Fernando Díaz's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  3. BoosTexter: A Boosting-based System for Text Categorization (Machine-mediated learning)
  4. A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
  5. Instance-based learning algorithms
  6. Learning in the Presence of Concept Drift and Hidden Contexts
  7. Machine learning in automated text categorization
  8. Incremental learning from noisy data
  9. ImageNet classification with deep convolutional neural networks
  10. Gradient-based learning applied to document recognition

Their papers