Richard H. Wolniewicz

IEEE Trans. Neural Networks Learn. Syst. · 2000–2003

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

Whom Richard H. Wolniewicz trusts overall

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

  1. Foster J. Provost
  2. Gary M. Weiss

Who trusts Richard H. Wolniewicz overall

  1. W. Buckinx
  2. Thorsten Joachims
  3. Eric Wai Ting Ngai
  4. Jae-Hyeon Ahn

Papers from Richard H. Wolniewicz's perspective

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

  1. The effect of class distribution on classifier learning: an empirical study
  2. A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
  3. Individual Comparisons by Ranking Methods
  4. Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (IEEE Trans. Neural Networks Learn. Syst.)
  5. On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
  6. Fast Effective Rule Induction
  7. Programs for Machine Learning
  8. C4.5: Programs for Machine Learning
  9. The Strength of Weak Learnability
  10. Lazy Decision Trees

Their papers