Yang Bai

Artificial Intelligence · with Garcia · 2008

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Bai trusts overall

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

  1. Nitesh V. Chawla
  2. M. Maloof
  3. C. Drummond
  4. Gang Wu
  5. Ş. Ertekin

Who trusts Yang Bai overall

  1. Bartosz Krawczyk
  2. Ajinkya More
  3. Lucy R. Chai
  4. Fabio Tanaka
  5. John T. Hancock
  6. Haibo He
  7. Victoria López
  8. Harsurinder Kaur
  9. Paula Branco
  10. Sara Fotouhi

Papers from Yang Bai's perspective

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

  1. SMOTE: Synthetic Minority Over-sampling Technique
  2. Experiments with a New Boosting Algorithm
  3. MetaCost: a general method for making classifiers cost-sensitive
  4. Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection
  5. The Foundations of Cost-Sensitive Learning
  6. C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling
  7. Learning When Data Sets are Imbalanced and When Costs are Unequal and Unknown
  8. Ieee Transactions on Knowledge and Data Engineering 1 Training Cost-sensitive Neural Networks with Methods Addressing the Class Imbalance Problem
  9. Mining with rarity: a unifying framework
  10. Machine Learning from Imbalanced Data Sets 101

Their papers