Alberto Suárez
Alberto Suárez
Professor of Artificial Intelligence, Computer Science Department, Universidad Autónoma de Madrid
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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
3382008
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
2681992
Pruning in ordered bagging ensembles
G Martínez-Muñoz, A Suárez
Proceedings of the 23rd international conference on Machine learning, 609-616, 2006
1922006
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
1791999
Aggregation ordering in bagging
G Martınez-Munoz, A Suárez
Proc. of the IASTED International Conference on Artificial Intelligence and …, 2004
1572004
Using boosting to prune bagging ensembles
G Martinez-Munoz, A Suárez
Pattern Recognition Letters 28 (1), 156-165, 2007
1392007
Hydrogen tunneling in condensed media
A Suárez, R Silbey
The Journal of chemical physics 94 (7), 4809-4816, 1991
1191991
Switching class labels to generate classification ensembles
G Martínez-Muñoz, A Suárez
Pattern Recognition 38 (10), 1483-1494, 2005
1162005
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
1152006
Out-of-bag estimation of the optimal sample size in bagging
G Martínez-Muñoz, A Suárez
Pattern Recognition 43 (1), 143-152, 2010
1022010
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
982010
A hybrid optimization approach to index tracking
R Ruiz-Torrubiano, A Suárez
Annals of Operations Research 166 (1), 57-71, 2009
972009
How large should ensembles of classifiers be?
D Hernández-Lobato, G Martínez-Muñoz, A Suárez
Pattern Recognition 46 (5), 1323-1336, 2013
762013
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
632008
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
592015
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
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
Vote-boosting ensembles
M Sabzevari, G Martínez-Muñoz, A Suárez
Pattern Recognition 83, 119-133, 2018
392018
Properties of a macroscopic system as a thermal bath
A Suarez, R Silbey
The Journal of chemical physics 95 (12), 9115-9121, 1991
381991
Expectation propagation for microarray data classification
D Hernández-Lobato, JM Hernández-Lobato, A Suárez
Pattern recognition letters 31 (12), 1618-1626, 2010
372010
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Artiklar 1–20