Kevin Bleakley

Molecular Biology · 2007–2011

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 23 citations into it; #1,596 of 17,773 by trust here, #7,842 by citations
• Statistical Learning Theory — 6 citations into it
• Artificial Intelligence — 5 citations into it; #32,901 of 35,345 by trust here, #22,463 by citations

Whom Kevin Bleakley trusts overall

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

1. Christopher K. I. Williams
2. Jean-Philippe Vert
3. Yuhai Wu
4. Chih-Jen Lin
5. Yoshihiro Yamanishi
6. Bernhard Schölkopf
7. Minoru Kanehisa
8. Masahiro Hattori
9. Risi Kondor
10. Florencio Pazos

Who trusts Kevin Bleakley overall

1. Mehmet Gönen
2. Hao Ding
3. Fangping Wan
4. Yoshihiro Yamanishi
5. Jianyang Zeng
6. Yuhao Wang
7. Hakime Öztürk
8. Tong He
9. Xiaodong Zheng
10. Nansu Zong

Papers from Kevin Bleakley's perspective

Ordered by how strongly the researchers Kevin Bleakley 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Supervised reconstruction of biological networks with local models (2007) — 575 citations
• Supervised prediction of drug–target interactions using bipartite local models (2009) — 610 citations
• Control-FREEC: a tool for assessing copy number and allelic content using next-generation sequencing data (2011) — 339 citations