Francisco Fernández-Navarro

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

• Artificial Intelligence — 14 citations into it
• Statistics and Probability — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Francisco Fernández-Navarro trusts overall

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

1. Vladimir Naumovich Vapnik
2. Richard Williams

Papers from Francisco Fernández-Navarro's perspective

Ordered by how strongly the researchers Francisco Fernández-Navarro 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. Gaussian Processes for Ordinal Regression (Journal of machine learning research)
8. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities
9. Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
10. A tutorial on support vector regression

Their papers

• Ordinal Regression Methods: Survey and Experimental Study (2016) — 445 citations