Matthew Spencer

Molecular Biology · 2014

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 26 citations into it; #5,280 of 17,773 by trust here, #11,207 by citations
• Materials Chemistry — 14 citations into it; #3,092 of 11,513 by trust here, #8,524 by citations
• Computational Biology & Bioinformatics — 9 citations into it; #269 of 660 by trust here, #539 by citations

Whom Matthew Spencer trusts overall

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

1. David C. Jones
2. Gianluca Pollastri
3. John Moult
4. Burkhard Rost
5. Jianlin Cheng
6. Liam J. McGuffin
7. Geoffrey E. Hinton
8. James A. Cuff
9. Hyunsoo Kim
10. Sujun Hua

Who trusts Matthew Spencer overall

1. Seonwoo Min
2. Jie Hou
3. Yifeng Li
4. Daniel Veltri
5. Tanlin Sun
6. Yuedong Yang
7. Chensi Cao
8. Byunghan Lee
9. Badri Adhikari
10. Wenqiang Shi

Papers from Matthew Spencer's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. Long Short-Term Memory
4. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
9. A Fast Learning Algorithm for Deep Belief Nets
10. This PDF file includes: Materials and Methods

Their papers

• A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction (2014) — 281 citations