Matías Gámez

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Matías Gámez trusts overall

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

1. J. Ross Quinlan
2. Yoav Freund
3. Leo Breiman
4. Jerome H. Friedman
5. Amir F. Atiya
6. Robert E. Schapire

Papers from Matías Gámez's perspective

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

1. Bagging Predictors
2. A decision-theoretic generalization of on-line learning and an application to boosting
3. Special Invited Paper-Additive logistic regression: A statistical view of boosting
4. Programs for Machine Learning
5. C4.5: Programs for Machine Learning
6. Boosting the margin: A new explanation for the effectiveness of voting methods
7. Experiments with a New Boosting Algorithm
8. Neural Networks for Pattern Recognition
9. Multiple Classifier Systems
10. Neural Networks: A Comprehensive Foundation

Their papers

• Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks (2008) — 298 citations