Miguel Ángel Guevara-López

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 9 citations into it

Whom Miguel Ángel Guevara-López trusts

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

1. Yann LeCun (in Computer Vision and Pattern Recognition)
2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
3. Yoshua Bengio (in Computer Vision and Pattern Recognition)

Papers from Miguel Ángel Guevara-López's perspective

Ordered by how strongly the researchers Miguel Ángel Guevara-López 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. Maxout Networks
5. Representation Learning: A Review and New Perspectives
6. Random Search for Hyper-Parameter Optimization
7. What is the best multi-stage architecture for object recognition?
8. Gradient-based learning applied to document recognition
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Theano: new features and speed improvements

Their papers

• Representation learning for mammography mass lesion classification with convolutional neural networks (2016) — 443 citations