Alberto Suárez - Google Scholar

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Citations	2780	1309
h-index	24	18
i10-index	47	27

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Co-authors

Gonzalo Martínez MuñozUniversidad Autónoma de MadridVerified email at uam.es
Daniel Hernández-LobatoLecturer of Computer Science, Unviersidad Autónoma de MadridVerified email at uam.es
José Miguel Hernández-LobatoUniversity Lecturer (US Assistant Professor) University of CambridgeVerified email at cam.ac.uk
james lutskoResearcher, Physics, University Libre de BruxellesVerified email at ulb.ac.be
Jean Pierre BoonProfessor Physics Dept University of BruxellesVerified email at ulb.ac.be
Víctor SotoColumbia UniversityVerified email at cs.columbia.edu
Alan EdelmanProfessor of Applied Mathematics, Member Computer Science AI LABS, MITVerified email at mit.edu
Jiahao ChenResearch Lead/Vice President, JPMorgan AI Research, New YorkVerified email at jpmorgan.com
Troy Van VoorhisMITVerified email at mit.edu
Francisco B RodriguezProfessor of Computer Science - Universidad Autónoma de MadridVerified email at uam.es
Eric HontzPhysical Chemistry PhD candidate, Massachusetts Institute of TechnologyVerified email at mit.edu
Matthew WelbornEntos, inc.Verified email at vt.edu
Manuel AlfonsecaProfessor of Computer Science, Universidad Autónoma de Madrid (Now Honorary)Verified email at uam.es
Alejandro LlorenteUniversidad Carlos III de MadridVerified email at iic.uam.es
Rosa M. CarroDepartment of Computer Science, Universidad Autonoma de MadridVerified email at uam.es
Pablo CastellsAssociate professor, Universidad Autónoma de MadridVerified email at uam.es
Pedro Antonio GutiérrezAssistant Professor of Computer Science, University of Córdoba (Spain)Verified email at uco.es

Alberto Suárez

Professor of Artificial Intelligence, Computer Science Department, Universidad Autónoma de Madrid

Verified email at uam.es - Homepage

Artificial Intelligence intelligent systems machine learning computational statistics siimulation and financial computing


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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	313	2008
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	255	1992
Pruning in ordered bagging ensembles G Martínez-Muñoz, A Suárez Proceedings of the 23rd international conference on Machine learning, 609-616, 2006	176	2006
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	166	1999
Aggregation ordering in bagging G Martınez-Munoz, A Suárez Proc. of the IASTED International Conference on Artificial Intelligence and …, 2004	149	2004
Using boosting to prune bagging ensembles G Martínez-Muñoz, A Suárez Pattern Recognition Letters 28 (1), 156-165, 2007	130	2007
Hydrogen tunneling in condensed media A Suárez, R Silbey The Journal of chemical physics 94 (7), 4809-4816, 1991	116	1991
Switching class labels to generate classification ensembles G Martínez-Muñoz, A Suárez Pattern Recognition 38 (10), 1483-1494, 2005	109	2005
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	102	2006
Hybrid approaches and dimensionality reduction for portfolio selection with cardinality constraints R Ruiz-Torrubiano, A Suárez IEEE Computational Intelligence Magazine 5 (2), 92-107, 2010	87	2010
A hybrid optimization approach to index tracking R Ruiz-Torrubiano, A Suárez Annals of Operations Research 166 (1), 57-71, 2009	87	2009
Out-of-bag estimation of the optimal sample size in bagging G Martínez-Muñoz, A Suárez Pattern Recognition 43 (1), 143-152, 2010	82	2010
How large should ensembles of classifiers be? D Hernández-Lobato, G MartíNez-MuñOz, A Suárez Pattern Recognition 46 (5), 1323-1336, 2013	64	2013
Statistical instance-based pruning in ensembles of independent classifiers D Hernández-Lobato, G Martínez-Muñoz, A Suárez IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2), 364-369, 2008	57	2008
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	48	2011
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	46	2015
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	37	2006
Properties of a macroscopic system as a thermal bath A Suarez, R Silbey The Journal of chemical physics 95 (12), 9115-9121, 1991	37	1991
A memetic algorithm for cardinality-constrained portfolio optimization with transaction costs R Ruiz-Torrubiano, A Suárez Applied Soft Computing 36, 125-142, 2015	33	2015
On the nonperturbative theory of pure dephasing in condensed phases at low temperatures D Reichman, RJ Silbey, A Suárez The Journal of chemical physics 105 (23), 10500-10506, 1996	32	1996

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