Joel R. Bock

Molecular Biology · 2001

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 8 citations into it; #6,683 of 17,773 by trust here, #12,227 by citations

Whom Joel R. Bock trusts overall

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

1. Vladimir Naumovich Vapni
2. Gregory R. Grant
3. Tommi S. Jaakkola
4. Florencio Pazos
5. Alexander Zien
6. Robert D. Finn
7. Sarah A. Teichmann
8. Mark Diekhans
9. Manuela Helmer-Citterich
10. David Haussler

Who trusts Joel R. Bock overall

1. Shawn Martin
2. Minghua Deng
3. Diana C. Roe
4. Shipra Mehta
5. Emilio Carrizosa
6. Dan Ofer
7. Aleksey A. Porollo
8. Jean-Loup Faulon
9. Pierre-André Savalle
10. Fengzhu Sun

Papers from Joel R. Bock's perspective

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

1. The Nature of Statistical Learning Theory
2. The Pfam protein families database
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. A Discriminative Framework for Detecting Remote Protein Homologies (J. Comput. Biol.)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. A method to predict functional residues in proteins

Their papers

• Predicting protein-protein interactions from primary structure (2001) — 550 citations