Zach Milton
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 Zach Milton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Zach Milton's perspective
Ordered by how strongly the researchers Zach Milton trusts endorse each paper. Same corpus, a different order for every researcher.
- A decision-theoretic generalization of on-line learning and an application to boosting
- UCI Repository of machine learning databases
- C4.5: Programs for Machine Learning
- Bagging Predictors
- Fast Effective Rule Induction
- Random Forests
- What we have learned about fighting defects (Proceedings Eighth IEEE Symposium on Software Metrics)
- Classification and regression trees
- Using AUC and accuracy in evaluating learning algorithms (IEEE Transactions on Knowledge and Data Engineering)
- The Foundations of Cost-Sensitive Learning
Their papers
- Defect prediction from static code features: current results, limitations, new approaches (2010) — 470 citations