Ziwei Wang

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 Ziwei Wang trusts overall

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

1. Leo Breiman
2. Tin Kam Ho
3. Trevor J. Hastie

Who trusts Ziwei Wang overall

1. Shen Zhang
2. Shibo Zhang

Papers from Ziwei Wang's perspective

Ordered by how strongly the researchers Ziwei Wang 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. Boosting the margin: A new explanation for the effectiveness of voting methods
6. Shape Quantization and Recognition with Randomized Trees
7. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
8. Arcing classifier (with discussion and a rejoinder by the author)
9. Experiments with a New Boosting Algorithm
10. The Nature of Statistical Learning Theory

Their papers

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