M. Mostafizur Rahman

2013

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

Whom M. Mostafizur Rahman trusts overall

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

  1. C. Drummond

Papers from M. Mostafizur Rahman's perspective

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

  1. SMOTE: Synthetic Minority Over-sampling Technique
  2. C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling
  3. Data Mining - Concepts and Techniques (Künstliche Intell.)
  4. AND T
  5. I and i
  6. Classification and regression trees
  7. Fast Effective Rule Induction
  8. MetaCost: a general method for making classifiers cost-sensitive
  9. Robust Classification for Imprecise Environments
  10. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)

Their papers