Shawn Martin

Molecular Biology · 2005–2011

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 21 citations into it; #8,562 of 17,773 by trust here, #14,509 by citations
• Artificial Intelligence — 5 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it; #19,698 of 21,575 by trust here, #15,162 by citations

Whom Shawn Martin trusts overall

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

1. Vladimir Naumovich Vapnik
2. Florencio Pazos
3. Alex Smola
4. Nello Cristianini
5. Joel R. Bock
6. Bernhard Schölkopf
7. Hanah Margalit
8. Christina S. Leslie
9. Ioannis Xenarios
10. Alfonso Valencia

Who trusts Shawn Martin overall

1. Mathieu Jacomy
2. Asa Ben-Hur
3. Richard Klavans
4. Qian Xu
5. Tanlin Sun
6. Yanzhi Guo
7. Helen Gibson
8. Pablo Barberá
9. Kevin W. Boyack
10. William Stafford Noble

Papers from Shawn Martin's perspective

Ordered by how strongly the researchers Shawn Martin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Statistical learning theory

Their papers

• Predicting protein-protein interactions using signature products (2005) — 390 citations
• OpenOrd: an open-source toolbox for large graph layout (2011) — 325 citations