Yaya Xie

Marketing · 2009

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Marketing — 6 citations into it

Whom Yaya Xie trusts overall

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

1. Chao Chen
2. Wai-Ho Au
3. Trevor J. Hastie
4. Charles Peter Elkan
5. Leo Breiman
6. Keith C. C. Chan

Papers from Yaya Xie's perspective

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

1. Random Forests
2. Using Random Forest to Learn Imbalanced Data
3. The Foundations of Cost-Sensitive Learning
4. A novel evolutionary data mining algorithm with applications to churn prediction (IEEE Transactions on Evolutionary Computation)
5. Neural Networks for Pattern Recognition
6. Bagging Predictors
7. UCI Repository of machine learning databases
8. The Nature of Statistical Learning Theory
9. Boosting the margin: A new explanation for the effectiveness of voting methods
10. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants

Their papers

• Customer churn prediction using improved balanced random forests (2009) — 416 citations