Yue Jiang

International Conference on Automated Software Engineering · 2010

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Yue Jiang trusts

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

  1. J. Ross Quinlan (in Algorithms & Complexity)
  2. Leo Breiman (in Evaluation & Benchmarks)
  3. William W. Pugh (in Algorithms & Complexity)
  4. William W. Cohen (in Algorithms & Complexity)

Papers from Yue Jiang's perspective

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

  1. A decision-theoretic generalization of on-line learning and an application to boosting
  2. UCI Repository of machine learning databases
  3. C4.5: Programs for Machine Learning
  4. Bagging Predictors
  5. Fast Effective Rule Induction
  6. What we have learned about fighting defects (Proceedings Eighth IEEE Symposium on Software Metrics)
  7. Random Forests
  8. Using AUC and accuracy in evaluating learning algorithms (IEEE Transactions on Knowledge and Data Engineering)
  9. Classification and regression trees
  10. The Foundations of Cost-Sensitive Learning

Their papers