Gerardo Flores

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Gerardo Flores trusts

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

1. Kaiming He (in Computer Vision and Pattern Recognition)
2. Jimmy Ba (in Artificial Intelligence)
3. Geoffrey E. Hinton (in Artificial Intelligence)

Papers from Gerardo Flores's perspective

Ordered by how strongly the researchers Gerardo Flores 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. Long Short-Term Memory
3. Dropout: a simple way to prevent neural networks from overfitting
4. Layer Normalization
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Deep Learning
10. ImageNet: A large-scale hierarchical image database

Their papers

• Scalable and accurate deep learning with electronic health records (2018) — 2,800 citations
• Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer (2019) — 301 citations