Ernesto Raúl Caffarena

Computational Theory and Mathematics · 2016

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 18 citations into it; #7,383 of 12,182 by trust here, #4,365 by citations
• Molecular Biology — 15 citations into it; #8,591 of 17,773 by trust here, #11,410 by citations
• Materials Chemistry — 11 citations into it
• Computational Chemistry & Drug Discovery — 10 citations into it
• Artificial Intelligence — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Ernesto Raúl Caffarena trusts overall

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

1. Brian K. Shoichet
2. David E. Rumelhart
3. Yoshua Bengio
4. Jacob D. Durrant
5. Pedro J. Ballester
6. Geoffrey E. Hinton
7. Niu Huang
8. Alessandro Lusci
9. Douglas B. Kitchen
10. Tiejun Cheng

Who trusts Ernesto Raúl Caffarena overall

1. Luca Pinzi
2. Maria Batool
3. Pedro H. M. Torres

Papers from Ernesto Raúl Caffarena's perspective

Ordered by how strongly the researchers Ernesto Raúl Caffarena 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Learning Deep Architectures for AI
9. Learning representations by back-propagating errors
10. ImageNet: A large-scale hierarchical image database

Their papers

• Boosting Docking-Based Virtual Screening with Deep Learning (2016) — 308 citations