Gonzalo Martínez-Muñoz

Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez: How large should ensembles of classifiers be? Pattern Recognition 46(5): 1323-1336 (2013)

Luis F. Lago-Fernández, Gonzalo Martínez-Muñoz, A. M. González, Manuel A. Sánchez-Montañés: Evaluation of Negentropy-based Cluster Validation Techniques in Problems with Increasing Dimensionality. ICPRAM (1) 2012: 235-241

Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez: Empirical analysis and evaluation of approximate techniques for pruning regression bagging ensembles. Neurocomputing 74(12-13): 2250-2264 (2011)

Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez: Inference on the prediction of ensembles of infinite size. Pattern Recognition 44(7): 1426-1434 (2011)

Richard N. Rojas-Bello, Luis F. Lago-Fernández, Gonzalo Martínez-Muñoz, Manuel A. Sánchez-Montañés: A comparison of techniques for robust gender recognition. ICIP 2011: 561-564

Gonzalo Martínez-Muñoz, Alberto Suárez: Out-of-bag estimation of the optimal sample size in bagging. Pattern Recognition 43(1): 143-152 (2010)

Natalia Larios, Bilge Soran, Linda G. Shapiro, Gonzalo Martínez-Muñoz, Junyuan Lin, Thomas G. Dietterich: Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification. ICPR 2010: 2624-2627

Víctor Soto, Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez: A Double Pruning Algorithm for Classification Ensembles. MCS 2010: 104-113

Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez: An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 245-259 (2009)

Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez: Statistical Instance-Based Pruning in Ensembles of Independent Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 31(2): 364-369 (2009)

Gonzalo Martínez-Muñoz, Natalia Larios Delgado, Eric N. Mortensen, Wei Zhang, Asako Yamamuro, Robert Paasch, Nadia Payet, David A. Lytle, Linda G. Shapiro, Sinisa Todorovic, Andrew Moldenke, Thomas G. Dietterich: Dictionary-free categorization of very similar objects via stacked evidence trees. CVPR 2009: 549-556

Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez: Statistical Instance-Based Ensemble Pruning for Multi-class Problems. ICANN (1) 2009: 90-99

Gonzalo Martínez-Muñoz, Alberto Suárez: Using boosting to prune bagging ensembles. Pattern Recognition Letters 28(1): 156-165 (2007)

Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez: Selection of Decision Stumps in Bagging Ensembles. ICANN (1) 2007: 319-328

Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez: Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles. IDEAL 2007: 47-56

Gonzalo Martínez-Muñoz, Aitor Sánchez-Martínez, Daniel Hernández-Lobato, Alberto Suárez: Building Ensembles of Neural Networks with Class-Switching. ICANN (1) 2006: 178-187

Gonzalo Martínez-Muñoz, Alberto Suárez: Pruning in ordered bagging ensembles. ICML 2006: 609-616

Sergio García-Moratilla, Gonzalo Martínez-Muñoz, Alberto Suárez: Evaluation of Decision Tree Pruning with Subadditive Penalties. IDEAL 2006: 995-1002

Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez: Pruning in Ordered Regression Bagging Ensembles. IJCNN 2006: 1266-1273

Gonzalo Martínez-Muñoz, Alberto Suárez: Switching class labels to generate classification ensembles. Pattern Recognition 38(10): 1483-1494 (2005)