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Alberto Suárez
Alberto Suárez
Professor of Artificial Intelligence, Computer Science Department, Universidad Autónoma de Madrid
Verified email at uam.es - Homepage
Title
Cited by
Cited by
Year
An analysis of ensemble pruning techniques based on ordered aggregation
G Martínez-Muñoz, D Hernández-Lobato, A Suárez
IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2), 245-259, 2008
3602008
Memory effects in the relaxation of quantum open systems
A Suárez, R Silbey, I Oppenheim
The Journal of chemical physics 97 (7), 5101-5107, 1992
2741992
Pruning in ordered bagging ensembles
G Martínez-Muñoz, A Suárez
Proceedings of the 23rd international conference on Machine learning, 609-616, 2006
1992006
Central role of Muc5ac expression in mucous metaplasia and its regulation by conserved 5′ elements
HWJ Young, OW Williams, D Chandra, LK Bellinghausen, G Pérez, ...
American journal of respiratory cell and molecular biology 37 (3), 273-290, 2007
1952007
Globally optimal fuzzy decision trees for classification and regression
A Suárez, JF Lutsko
IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (12), 1297 …, 1999
1941999
Aggregation ordering in bagging
G Martınez-Munoz, A Suárez
Proc. of the IASTED International Conference on Artificial Intelligence and …, 2004
1702004
Using boosting to prune bagging ensembles
G Martinez-Munoz, A Suárez
Pattern Recognition Letters 28 (1), 156-165, 2007
1412007
Selection of optimal investment portfolios with cardinality constraints
R Moral-Escudero, R Ruiz-Torrubiano, A Suárez
2006 IEEE International Conference on Evolutionary Computation, 2382-2388, 2006
1252006
Switching class labels to generate classification ensembles
G Martínez-Muñoz, A Suárez
Pattern Recognition 38 (10), 1483-1494, 2005
1252005
Out-of-bag estimation of the optimal sample size in bagging
G Martínez-Muñoz, A Suárez
Pattern Recognition 43 (1), 143-152, 2010
1222010
Hydrogen tunneling in condensed media
A Suárez, R Silbey
The Journal of chemical physics 94 (7), 4809-4816, 1991
1191991
Hybrid approaches and dimensionality reduction for portfolio selection with cardinality constraints
R Ruiz-Torrubiano, A Suarez
IEEE Computational Intelligence Magazine 5 (2), 92-107, 2010
1062010
A hybrid optimization approach to index tracking
R Ruiz-Torrubiano, A Suárez
Annals of Operations Research 166 (1), 57-71, 2009
1062009
How large should ensembles of classifiers be?
D Hernández-Lobato, G Martínez-Muñoz, A Suárez
Pattern Recognition 46 (5), 1323-1336, 2013
822013
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
692008
Expectation propagation in linear regression models with spike-and-slab priors
JM Hernández-Lobato, D Hernández-Lobato, A Suárez
Machine Learning 99 (3), 437-487, 2015
622015
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
502011
Vote-boosting ensembles
M Sabzevari, G Martínez-Muñoz, A Suárez
Pattern Recognition 83, 119-133, 2018
462018
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
422006
A memetic algorithm for cardinality-constrained portfolio optimization with transaction costs
R Ruiz-Torrubiano, A Suárez
Applied Soft Computing 36, 125-142, 2015
402015
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