Yining Chen

Artificial Intelligence · with Barrieu · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Statistics and Probability — 8 citations into it
• Molecular Biology — 7 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Yining Chen trusts overall

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

1. Leo Breiman
2. Hemant Ishwaran
3. Thomas G. Dietterich
4. Niko Speybroeck
5. Alexander Braun
6. Trevor J. Hastie
7. Chinghway Lim
8. X. Chen
9. Eric R. Ziegel

Papers from Yining Chen's perspective

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

1. Bagging Predictors
2. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
3. Random Forests
4. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
5. The Elements of Statistical Learning
6. Classification and regression trees
7. Bootstrap Methods: Another Look at the Jackknife
8. High-Dimensional Variable Selection for Survival Data
9. Variable importance in binary regression trees and forests
10. Original Contribution: Stacked generalization

Their papers

• A random forest based approach for predicting spreads in the primary catastrophe bond market (2020) — 46 citations