Kai Quan Shen

Artificial Intelligence · 2008–2009

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #20,697 of 35,345 by trust here, #30,347 by citations
• Computer Vision and Pattern Recognition — 9 citations into it; #12,896 of 21,575 by trust here, #19,310 by citations

Whom Kai Quan Shen trusts overall

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

1. Isabelle M Guyon
2. Leo Breiman
3. S. Sathiya Keerthi
4. Vladimir Naumovich Vapnik
5. Vladimir Naumovich Vapni
6. Trevor J. Hastie
7. Yuhai Wu
8. Dustin Boswell
9. J. Platt
10. Alain Rakotomamonjy

Who trusts Kai Quan Shen overall

1. Romaric Gaudel
2. Andrea Pohoreckyj Danyluk
3. Jian-Bo Yang

Papers from Kai Quan Shen's perspective

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

1. The Nature of Statistical Learning Theory
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Statistical Learning Theory
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Bagging Predictors
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Can SVM be used for automatic EEG detection of drowsiness during car driving (2009) — 384 citations
• Feature selection via sensitivity analysis of SVM probabilistic outputs (2008) — 82 citations