Xue-wen Chen

Artificial Intelligence · with Chen · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Xue-wen Chen trusts overall

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

  1. Nitesh V. Chawla
  2. Igor Kononenko
  3. George Forman
  4. Franccois Fleuret
  5. Daphne Koller
  6. Jason Van Hulse
  7. Yanmin Sun
  8. Zhaohui Zheng
  9. Hanchuan Peng
  10. Charles Peter Elkan

Who trusts Xue-wen Chen overall

  1. Rushi Longadge
  2. Aida Ali
  3. Sebastián Maldonado
  4. Alberto Fernández
  5. Snehalata Dongre

Papers from Xue-wen Chen's perspective

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

  1. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
  2. The Foundations of Cost-Sensitive Learning
  3. An Introduction to Variable and Feature Selection
  4. Gradient-based learning applied to document recognition
  5. Experimental perspectives on learning from imbalanced data (International Conference on Machine Learning)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. MetaCost: a general method for making classifiers cost-sensitive
  8. An Extensive Empirical Study of Feature Selection Metrics for Text Classification
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. SMOTEBoost: Improving Prediction of the Minority Class in Boosting

Their papers