Gonzalo Martínez Muñoz
Title
Cited by
Cited by
Year
An analysis of ensemble pruning techniques based on ordered aggregation
G Martinez-Munoz, D Hernández-Lobato, A Suárez
IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2), 245-259, 2008
3262008
Pruning in ordered bagging ensembles
G Martínez-Muñoz, A Suárez
Proceedings of the 23rd international conference on Machine learning, 609-616, 2006
1832006
Aggregation ordering in bagging
G Martınez-Munoz, A Suárez
Proc. of the IASTED International Conference on Artificial Intelligence and …, 2004
1592004
Using boosting to prune bagging ensembles
G Martinez-Munoz, A Suárez
Pattern Recognition Letters 28 (1), 156-165, 2007
1352007
Switching class labels to generate classification ensembles
G Martínez-Muñoz, A Suárez
Pattern Recognition 38 (10), 1483-1494, 2005
1162005
Out-of-bag estimation of the optimal sample size in bagging
G Martínez-Muñoz, A Suárez
Pattern Recognition 43 (1), 143-152, 2010
902010
Dictionary-free categorization of very similar objects via stacked evidence trees
G Martinez-Munoz, N Larios, E Mortensen, W Zhang, A Yamamuro, ...
2009 IEEE Conference on Computer Vision and Pattern Recognition, 549-556, 2009
792009
Automated processing and identification of benthic invertebrate samples
DA Lytle, G Martínez-Muñoz, W Zhang, N Larios, L Shapiro, R Paasch, ...
Journal of the North American Benthological Society 29 (3), 867-874, 2010
722010
How large should ensembles of classifiers be?
D Hernández-Lobato, G Martínez-Muñoz, A Suárez
Pattern Recognition 46 (5), 1323-1336, 2013
702013
A programming experience of high school students in a virtual world platform
M Rico, G Martínez-Muñoz, X Alaman, D Camacho, E Pulido
International Journal of Engineering Education 27 (1), 52, 2011
632011
Statistical instance-based pruning in ensembles of independent classifiers
D Hernández-Lobato, G Martinez-Munoz, A Suárez
IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2), 364-369, 2008
602008
Empirical analysis and evaluation of approximate techniques for pruning regression bagging ensembles
D Hernández-Lobato, G Martínez-Muñoz, A Suárez
Neurocomputing 74 (12-13), 2250-2264, 2011
482011
Haar random forest features and SVM spatial matching kernel for stonefly species identification
N Larios, B Soran, LG Shapiro, G Martínez-Muñoz, J Lin, TG Dietterich
2010 20th International Conference on Pattern Recognition, 2624-2627, 2010
452010
Pruning in ordered regression bagging ensembles
D Hernández-Lobato, G Martínez-Muñoz, A Suárez
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
402006
Class-switching neural network ensembles
G Martínez-Muñoz, A Sánchez-Martínez, D Hernández-Lobato, A Suárez
Neurocomputing 71 (13-15), 2521-2528, 2008
322008
Vote-boosting ensembles
M Sabzevari, G Martínez-Muñoz, A Suárez
Pattern Recognition 83, 119-133, 2018
312018
Using a SPOC to flip the classroom
G Martínez-Muñoz, E Pulido
2015 IEEE global Engineering education conference (EDUCON), 431-436, 2015
312015
Engineering of silicon surfaces at the micro-and nanoscales for cell adhesion and migration control
V Torres-Costa, G Martínez-Muñoz, V Sánchez-Vaquero, Á Muñoz-Noval, ...
International journal of nanomedicine 7, 623, 2012
242012
Using all data to generate decision tree ensembles
G Martínez-Muñoz, A Suárez
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2004
232004
A two-stage ensemble method for the detection of class-label noise
M Sabzevari, G Martínez-Muñoz, A Suárez
Neurocomputing 275, 2374-2383, 2018
202018
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Articles 1–20