Jongsub Moon
Artificial Intelligence · 2007
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it; #12,169 of 35,345 by trust here, #22,463 by citations
Whom Jongsub Moon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni
- Thorsten Joachims
- Teuvo Kohonen
- Bernhard Schölkopf
- Susan T. Dumais
- Andrew H. Sung
- Wenke Lee
- Christopher G. Atkeson
- Eleazar Eskin
- Andrew W. Moore
Who trusts Jongsub Moon overall
Papers from Jongsub Moon's perspective
Ordered by how strongly the researchers Jongsub Moon trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Advances in kernel methods: support vector learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
Their papers
- A hybrid machine learning approach to network anomaly detection (2007) — 467 citations