Marcel Jirina Jr.

Artificial Intelligence · 2004–2012

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marcel Jirina Jr. trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Pedro M. Domingos
  3. David Hilton Wolpert
  4. Leo Breiman
  5. Gary M. Weiss
  6. Larry Michael Manevitz
  7. Nitesh V. Chawla
  8. Clifton Phua
  9. J. A. Olvera-López
  10. Xinjian Guo

Papers from Marcel Jirina Jr.'s perspective

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

  1. The Nature of Statistical Learning Theory
  2. MetaCost: a general method for making classifiers cost-sensitive
  3. Bagging Predictors
  4. Random Forests
  5. SMOTE: Synthetic Minority Over-sampling Technique
  6. A study of the behavior of several methods for balancing machine learning training data
  7. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
  8. One-Class SVMs for Document Classification (Journal of machine learning research)
  9. Original Contribution: Stacked generalization
  10. The Foundations of Cost-Sensitive Learning

Their papers