José Carlos Cabaleiro

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Statistical Learning Theory — 9 citations into it
• Statistics and Probability — 8 citations into it
• Algorithms & Complexity — 5 citations into it
• Information Systems — 5 citations into it

Whom José Carlos Cabaleiro trusts overall

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

1. Jerome H. Friedman
2. Max Kuhn
3. Eibe Frank
4. Trevor J. Hastie
5. Chih-Jen Lin
6. William W. Cohen
7. Yoav Freund
8. Pedro M. Domingos
9. John C. Platt
10. Niko Speybroeck

Who trusts José Carlos Cabaleiro overall

1. Velibor V. Misic
2. David Jurgens
3. Zijian Wang
4. Fangping Wan
5. Sharad Goel
6. Candice Bentéjac
7. Xueheng Qiu

Papers from José Carlos Cabaleiro's perspective

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

1. Experiments with a New Boosting Algorithm
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. LIBSVM: A library for support vector machines
5. Special Invited Paper-Additive logistic regression: A statistical view of boosting
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. ImageNet: A large-scale hierarchical image database
8. The Nature of Statistical Learning Theory
9. Regression Shrinkage and Selection via the Lasso
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Graph-based approach for airborne light detection and ranging segmentation (2014) — 370 citations