Darryl N. Davis

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.

Papers from Darryl N. Davis's perspective

Ordered by how strongly the researchers Darryl N. Davis 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

• Addressing the Class Imbalance Problem in Medical Datasets (2013) — 385 citations