Ajay Joshi

2005

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Ajay Joshi trusts overall

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

  1. William W. Cohen
  2. Ron Kohavi

Who trusts Ajay Joshi overall

  1. Faisal Kamiran

Papers from Ajay Joshi's perspective

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

  1. Learning and making decisions when costs and probabilities are both unknown (Knowledge Discovery and Data Mining)
  2. C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling
  3. UCI Repository of machine learning databases
  4. Fast Effective Rule Induction
  5. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
  6. A study of the behavior of several methods for balancing machine learning training data
  7. The Class Imbalance Problem: Significance and Strategies
  8. Wrappers for Feature Subset Selection
  9. Learning When Data Sets are Imbalanced and When Costs are Unequal and Unknown
  10. Gradient-based learning applied to document recognition

Their papers