Juan José Rodríguez Diez

Artificial Intelligence · 2006

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Juan José Rodríguez Diez trusts overall

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

  1. Robert E. Schapire
  2. R. Golden
  3. Tin Kam Ho
  4. Stanislav KolenikovGustavo Angeles
  5. Steven L. Salzberg
  6. Xiaoli Z. Fern
  7. Leo Breiman
  8. Yoav Freund
  9. Ludmila I. Kuncheva
  10. Jerome H. Friedman

Who trusts Juan José Rodríguez Diez overall

  1. Justin A. Sirignano
  2. S. Kotsiantis
  3. Omer Sagi
  4. Jon Hills
  5. Anthony J. Bagnall
  6. E. Kutlug Sahin
  7. Yongquan Yang
  8. Ye Ren
  9. Hristos Tyralis
  10. Bayu Adhi Tama

Papers from Juan José Rodríguez Diez's perspective

Ordered by how strongly the researchers Juan José Rodríguez Diez trusts endorse each paper. Same corpus, a different order for every researcher.

  1. UCI Repository of machine learning databases
  2. Programs for Machine Learning
  3. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  4. A decision-theoretic generalization of on-line learning and an application to boosting
  5. Bagging Predictors
  6. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
  7. Boosting the margin: A new explanation for the effectiveness of voting methods
  8. The Boosting Approach to Machine Learning An Overview
  9. Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
  10. Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach (International Conference on Machine Learning)

Their papers