Qinghua Zhang

IEEE Sensors Journal · with He · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Qinghua Zhang trusts overall

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

1. Leo Breiman
2. Tin Kam Ho

Who trusts Qinghua Zhang overall

1. Shen Zhang

Papers from Qinghua Zhang's perspective

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

1. Bagging Predictors
2. Random Forests
3. The Random Subspace Method for Constructing Decision Forests
4. Statistical learning theory
5. Shape Quantization and Recognition with Randomized Trees
6. Boosting the margin: A new explanation for the effectiveness of voting methods
7. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
8. Arcing classifier (with discussion and a rejoinder by the author)
9. The Nature of Statistical Learning Theory
10. Experiments with a New Boosting Algorithm

Their papers

• Fault Diagnosis of a Rolling Bearing Using Wavelet Packet Denoising and Random Forests (2017) — 310 citations