A. Goh

with Goh · 1995–2007

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 8 researchers here, as inferred from the citation graph.

Whom A. Goh trusts overall

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

1. David E. Rumelhart
2. Vladimir Naumovich Vapnik
3. Kurt Hornik
4. Richard P. Lippmann
5. Yuhai Wu

Who trusts A. Goh overall

1. M. Gevrey
2. Shawn Tan
3. Young‐Seuk Park
4. Amir Hossein Alavi
5. Jian Ji
6. Yazhou Xie
7. Sovan Lek
8. Jonathan L. Ticknor
9. Khe Chai Sim
10. I. Dimopoulos

Papers from A. Goh's perspective

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

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

Their papers

• Support vector machines: Their use in geotechnical engineering as illustrated using seismic liquefaction data (2007) — 297 citations
• Back-propagation neural networks for modeling complex systems (1995)