Yuchun Tang

Artificial Intelligence · 2009

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

Subfields

• Artificial Intelligence — 13 citations into it; #21,262 of 35,345 by trust here, #16,166 by citations

Whom Yuchun Tang trusts overall

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

1. Chih-Jen Lin
2. Jesse Davis
3. Hideki Isozaki
4. Nitesh V. Chawla
5. Witold Pedrycz
6. Mark H. Goadrich
7. Hideto Kazawa
8. Andrew P. Bradley
9. Gary M. Weiss
10. C. Burges

Who trusts Yuchun Tang overall

1. Kush R. Varshney
2. Qi Dong
3. Yu Li
4. Samuel Rota Bulò
5. Harsurinder Kaur
6. Victoria López
7. José A. Sáez
8. Alberto Fernández
9. Tao Wang
10. Shaogang Gong

Papers from Yuchun Tang's perspective

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

1. SMOTE: Synthetic Minority Over-sampling Technique
2. The use of the area under the ROC curve in the evaluation of machine learning algorithms
3. LIBSVM: A library for support vector machines
4. A Tutorial on Support Vector Machines for Pattern Recognition
5. Extreme re-balancing for SVMs: a case study
6. The relationship between Precision-Recall and ROC curves
7. Efficient Support Vector Classifiers for Named Entity Recognition (International Conference on Computational Linguistics)
8. KBA: kernel boundary alignment considering imbalanced data distribution (IEEE Transactions on Knowledge and Data Engineering)
9. Granular computing: an introduction (Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569))
10. Mining with rarity: a unifying framework

Their papers

• SVMs Modeling for Highly Imbalanced Classification (2009) — 968 citations