Kaiquan Xu

Artificial Intelligence · 2011–2014

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kaiquan Xu trusts overall

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

  1. B. Liu
  2. Leo Breiman
  3. Robert E. Schapire
  4. Bo Pang
  5. Jaka Demsar
  6. Tin Kam Ho
  7. Geoffrey I. Webb
  8. Razvan C. Bunescu

Who trusts Kaiquan Xu overall

  1. Kumar Ravi
  2. Yang Liu
  3. Walaa Medhat
  4. Shiliang Sun
  5. Vadlamani Ravi
  6. Jianwei Bi
  7. Chen Luo
  8. A. Hassan

Papers from Kaiquan Xu's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Bagging Predictors
  3. The Strength of Weak Learnability
  4. Determining the Sentiment of Opinions
  5. Statistical Comparisons of Classifiers over Multiple Data Sets
  6. MultiBoosting: A Technique for Combining Boosting and Wagging (Machine-mediated learning)
  7. Data Mining Practical Machine Learning Tools and Techniques
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet classification with deep convolutional neural networks

Their papers