Eric W. Cooper

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Eric W. Cooper trusts overall

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

  1. Leo Breiman
  2. Robert E. Schapire
  3. Chih-Jen Lin
  4. C. Burges
  5. Nitesh V. Chawla
  6. Gang Wu
  7. Taeho C. Jo
  8. Haibo He
  9. Show-Jane Yen
  10. Gustavo E. A. P. A. Batista

Who trusts Eric W. Cooper overall

  1. Ajinkya More
  2. Guillaume Lemaitre

Papers from Eric W. Cooper's perspective

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

  1. SMOTE: Synthetic Minority Over-sampling Technique
  2. Bagging Predictors
  3. A study of the behavior of several methods for balancing machine learning training data
  4. Class imbalances versus small disjuncts (SKDD)
  5. SMOTEBoost: Improving Prediction of the Minority Class in Boosting
  6. Extreme re-balancing for SVMs: a case study
  7. Mining with rarity: a unifying framework
  8. LIBSVM: A library for support vector machines
  9. A Tutorial on Support Vector Machines for Pattern Recognition
  10. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning

Their papers