Keith Noto

Molecular Biology · 2008–2021

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 17 citations into it
• Artificial Intelligence — 7 citations into it; #4,935 of 35,345 by trust here, #12,974 by citations
• Oncology — 5 citations into it

Whom Keith Noto trusts overall

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

1. Wee Sun Lee
2. B. Liu
3. Bianca Zadrozny
4. Fei Wu
5. Bernhard Schölkopf
6. Hwanjo Yu
7. Hsuan-Tien Lin
8. Charles Peter Elkan
9. Milton H. Saier Jr.
10. Corinna Cortes

Who trusts Keith Noto overall

1. Charu C. Aggarwal
2. Curtis G. Northcutt
3. Jessa Bekker
4. Danfei Xu
5. Min-Ling Zhang
6. Zhanglong Ji
7. Fantine Mordelet
8. Xinya Du
9. Shehroz S. Khan
10. Robert C. Moore

Papers from Keith Noto's perspective

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

1. Support-Vector Networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Learning classifiers from only positive and unlabeled data (2008) — 1,201 citations
• The Transporter Classification Database: recent advances (2008) — 383 citations
• Mapping the human genetic architecture of COVID-19 (2021) — 807 citations