José Luís Oliveira

Computer Vision and Pattern Recognition · 2016

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

• Computer Vision and Pattern Recognition — 17 citations into it
• Artificial Intelligence — 13 citations into it

Whom José Luís Oliveira trusts overall

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

1. Yoshua Bengio
2. Alex Krizhevsky

Papers from José Luís Oliveira's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Learning Multiple Layers of Features from Tiny Images
3. Dropout: a simple way to prevent neural networks from overfitting
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Maxout Networks
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Representation Learning: A Review and New Perspectives

Their papers

• Representation learning for mammography mass lesion classification with convolutional neural networks (2016) — 443 citations
• Computational Discovery of Putative Leads for Drug Repositioning through Drug-Target Interaction Prediction (2016) — 34 citations