Chao Chen

2004

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Chao Chen trusts overall

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

  1. Nitesh V. Chawla
  2. Kevin W. Bowyer
  3. L. Hall
  4. Aleksandar Lazarevic
  5. Pedro M. Domingos
  6. W. Philip Kegelmeyer Jr.

Who trusts Chao Chen overall

  1. Kwetishe Joro Danjuma
  2. Qi Dong
  3. Andrea Dal Pozzolo
  4. Gérard Biau
  5. Benjamin X. Wang
  6. Fuyong Xing
  7. Paula Branco
  8. Johannes Breidenbach
  9. Kate McCarthy
  10. Yaya Xie

Papers from Chao Chen's perspective

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

  1. SMOTE: Synthetic Minority Over-sampling Technique
  2. UCI Repository of machine learning databases
  3. SMOTEBoost: Improving Prediction of the Minority Class in Boosting
  4. Fast Effective Rule Induction
  5. Robust Classification for Imprecise Environments
  6. Experiments with a New Boosting Algorithm
  7. A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features
  8. MetaCost: a general method for making classifiers cost-sensitive
  9. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  10. Evaluating boosting algorithms to classify rare classes: comparison and improvements (Proceedings 2001 IEEE International Conference on Data Mining)

Their papers