Jingxia Qian

Computers & Operations Research · 2005

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Whom Jingxia Qian trusts overall

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

1. Leo Breiman
2. Thomas G. Dietterich
3. Robert E. Schapire
4. David West
5. Holger Schwenk

Who trusts Jingxia Qian overall

1. Johan L. Perols
2. Yuan Zhang
3. Michal Tkác

Papers from Jingxia Qian's perspective

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

1. Bagging Predictors
2. The Strength of Weak Learnability
3. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
4. Prediction Games and Arcing Algorithms
5. ImageNet classification with deep convolutional neural networks
6. Cross‐Validatory Choice and Assessment of Statistical Predictions
7. Neural network credit scoring models (Computers & Operations Research)
8. Boosting Neural Networks
9. Neural networks in business: techniques and applications for the operations researcher (Computers & Operations Research)
10. Gradient-based learning applied to document recognition

Their papers

• Neural network ensemble strategies for financial decision applications (2005) — 354 citations