Xiaoyan Zhu

Artificial Intelligence · with Sun · 2015

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Electrical and Electronic Engineering — 11 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Xiaoyan Zhu trusts overall

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

1. Leo Breiman
2. Trevor J. Hastie
3. Nitesh V. Chawla
4. Andrew P. Bradley
5. Jaka Demsar
6. Taghi M. Khoshgoftaar

Papers from Xiaoyan Zhu's perspective

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

1. Bagging Predictors
2. SMOTE: Synthetic Minority Over-sampling Technique
3. Random Forests
4. The use of the area under the ROC curve in the evaluation of machine learning algorithms
5. Statistical Comparisons of Classifiers over Multiple Data Sets
6. A study of the behavior of several methods for balancing machine learning training data
7. SMOTEBoost: Improving Prediction of the Minority Class in Boosting
8. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
9. Ieee Transactions on Knowledge and Data Engineering 1 Training Cost-sensitive Neural Networks with Methods Addressing the Class Imbalance Problem
10. Mining with rarity: a unifying framework

Their papers

• A novel ensemble method for classifying imbalanced data (2015) — 399 citations