L. Trejo

Journal of machine learning research · 2002

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom L. Trejo trusts overall

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

1. Dustin Boswell
2. M. Stone
3. Federico Girosi
4. Bernhard Schölkopf
5. Nello Cristianini
6. Alex Smola
7. Craig John Saunders
8. Vladimir Naumovich Vapni
9. Vladimir Naumovich Vapnik
10. Jerome H. Friedman

Who trusts L. Trejo overall

1. Han-Ming Wu
2. Paul Honeine
3. S. Qin
4. Malte Kuss
5. Charles A. Micchelli
6. Liliana Lo Presti
7. Jinbo Bi
8. Javier M. Moguerza
9. Roman Rosipal
10. B. Üstün

Papers from L. Trejo's perspective

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

1. The Nature of Statistical Learning Theory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
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. Introduction to Support Vector Machines

Their papers

• Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space (2002) — 1,023 citations