C. Ong

Artificial Intelligence · with Yang · 2008–2012

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #22,642 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 13 citations into it; #14,004 of 21,575 by trust here, #18,266 by citations

Whom C. Ong trusts overall

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

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

Who trusts C. Ong overall

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

Papers from C. Ong's perspective

Ordered by how strongly the researchers C. Ong 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. Support-Vector Networks
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. A training algorithm for optimal margin classifiers
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• An Effective Feature Selection Method via Mutual Information Estimation (2012) — 45 citations
• Feature selection via sensitivity analysis of SVM probabilistic outputs (2008) — 82 citations