Katsuari Kamei

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 Katsuari Kamei 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 Katsuari Kamei overall

  1. Ajinkya More

Papers from Katsuari Kamei's perspective

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

  1. SMOTE: Synthetic Minority Over-sampling Technique
  2. A study of the behavior of several methods for balancing machine learning training data
  3. Bagging Predictors
  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. A Tutorial on Support Vector Machines for Pattern Recognition
  9. LIBSVM: A library for support vector machines
  10. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning

Their papers