Jonathan Burez

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Burez trusts overall

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

  1. Jerome H. Friedman
  2. Gary M. Weiss
  3. Thomas G. Dietterich
  4. Yoav Freund
  5. Jesse Davis
  6. W. Buckinx
  7. Kristof Coussement
  8. Dirk Van den Poel
  9. Sunil Gupta
  10. Trevor J. Hastie

Who trusts Jonathan Burez overall

  1. Abdelrahim Kasem Ahmad
  2. Wouter Verbeke
  3. Marcel Karnstedt
  4. Assef Jafar
  5. Karel Dejaeger
  6. Tara Hennessy
  7. David Martens
  8. Kadan Aljoumaa
  9. Harsurinder Kaur

Papers from Jonathan Burez's perspective

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

  1. The Nature of Statistical Learning Theory
  2. A decision-theoretic generalization of on-line learning and an application to boosting
  3. Random Forests
  4. Bagging Predictors
  5. Greedy function approximation: A gradient boosting machine.
  6. Stochastic gradient boosting
  7. C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling
  8. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  9. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
  10. Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models

Their papers