Matías Gámez

Ensemble Classifiers Methods

Esteban Alfaro, Matías Gámez, Noelia García, 2018 .

Bankruptcy Prediction Through Ensemble Trees

Matías Gámez, Esteban Alfaro, Noelia García, 2018 .

Linear separability and classification complexity

David A. Elizondo, Matías Gámez, Ralph Birkenhead, 2012, Expert Syst. Appl..

A boosting approach for corporate failure prediction

Matías Gámez, Esteban Alfaro Cortés, Noelia García Rubio, 2007, Applied Intelligence.

Limitation of the Individual Classifiers

Esteban Alfaro, Matías Gámez, Noelia García, 2018 .

Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks

David A. Elizondo, Matías Gámez, Esteban Alfaro Cortés, 2008, Decis. Support Syst..

Estimation of classification complexity

David A. Elizondo, Matías Gámez, Ralph Birkenhead, 2009, 2009 International Joint Conference on Neural Networks.

adabag: An R Package for Classification with Boosting and Bagging

Matías Gámez, Esteban Alfaro, Noelia García, 2013 .

A boosting approach for understanding out-of-control signals in multivariate control charts

Esteban Alfaro, Matías Gámez, Noelia García, 2009 .