Alberto Muñoz

Artificial Intelligence · 2006

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Statistical Learning Theory — 17 citations into it
• Statistics and Probability — 11 citations into it
• Optimization & Training — 7 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Control and Systems Engineering — 5 citations into it
• Molecular Biology — 5 citations into it

Whom Alberto Muñoz trusts overall

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

1. Bernhard Schölkopf
2. Leo Breiman
3. Shun-ichi Amari
4. Vladimir Naumovich Vapnik
5. Thorsten Joachims
6. John C. Platt
7. Tong Zhang
8. Sujun Hua
9. Alex Smola
10. Ralf Herbrich

Papers from Alberto Muñoz's perspective

Ordered by how strongly the researchers Alberto Muñoz 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Support Vector Machines with Applications (2006) — 354 citations