Alberto Suárez

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Gonzalo Martínez MuñozUniversidad Autónoma de MadridVerifierad e-postadress på uam.es
Daniel Hernández-LobatoLecturer of Computer Science, Universidad Autónoma de MadridVerifierad e-postadress på uam.es
José Miguel Hernández-LobatoUniversity Lecturer (US Assistant Professor) University of CambridgeVerifierad e-postadress på cam.ac.uk
james lutskoResearcher, Physics, University Libre de BruxellesVerifierad e-postadress på ulb.ac.be
Jean Pierre BoonProfessor Physics Dept University of BruxellesVerifierad e-postadress på ulb.ac.be
Víctor SotoColumbia UniversityVerifierad e-postadress på cs.columbia.edu
Alan EdelmanProfessor of Applied Mathematics, Member Computer Science AI LABS, MITVerifierad e-postadress på mit.edu
Jiahao ChenAI Research Director (Executive Director), JPMorgan AI Research, New YorkVerifierad e-postadress på jpmorgan.com
Francisco B RodriguezProfessor of Computer Science - Universidad Autónoma de MadridVerifierad e-postadress på uam.es
Troy Van VoorhisMITVerifierad e-postadress på mit.edu
Eric HontzPhysical Chemistry PhD candidate, Massachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Matthew WelbornEntos, Inc.Verifierad e-postadress på entos.ai
Manuel AlfonsecaProfessor of Computer Science, Universidad Autónoma de Madrid (Now Honorary)Verifierad e-postadress på uam.es
Alejandro LlorenteUniversidad Carlos III de MadridVerifierad e-postadress på iic.uam.es
Pedro Antonio GutiérrezAssistant Professor of Computer Science, University of Córdoba (Spain)Verifierad e-postadress på uco.es
Rosa M. CarroDepartment of Computer Science, Universidad Autonoma de MadridVerifierad e-postadress på uam.es
Pablo CastellsAssociate professor, Universidad Autónoma de Madrid, AmazonVerifierad e-postadress på uam.es

Alberto Suárez

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

Verifierad e-postadress på uam.es - Startsida

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


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	328	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	263	1992
Pruning in ordered bagging ensembles G Martínez-Muñoz, A Suárez Proceedings of the 23rd international conference on Machine learning, 609-616, 2006	185	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	173	1999
Aggregation ordering in bagging G Martınez-Munoz, A Suárez Proc. of the IASTED International Conference on Artificial Intelligence and …, 2004	160	2004
Using boosting to prune bagging ensembles G Martinez-Munoz, A Suárez Pattern Recognition Letters 28 (1), 156-165, 2007	137	2007
Hydrogen tunneling in condensed media A Suárez, R Silbey The Journal of chemical physics 94 (7), 4809-4816, 1991	117	1991
Switching class labels to generate classification ensembles G Martínez-Muñoz, A Suárez Pattern Recognition 38 (10), 1483-1494, 2005	116	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	112	2006
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	97	2010
Out-of-bag estimation of the optimal sample size in bagging G Martínez-Muñoz, A Suárez Pattern Recognition 43 (1), 143-152, 2010	92	2010
A hybrid optimization approach to index tracking R Ruiz-Torrubiano, A Suárez Annals of Operations Research 166 (1), 57-71, 2009	92	2009
How large should ensembles of classifiers be? D Hernández-Lobato, G Martínez-Muñoz, A Suárez Pattern Recognition 46 (5), 1323-1336, 2013	70	2013
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	61	2008
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	53	2015
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
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	40	2006
Properties of a macroscopic system as a thermal bath A Suarez, R Silbey The Journal of chemical physics 95 (12), 9115-9121, 1991	38	1991
Expectation propagation for microarray data classification D Hernández-Lobato, JM Hernández-Lobato, A Suárez Pattern recognition letters 31 (12), 1618-1626, 2010	36	2010
Vote-boosting ensembles M Sabzevari, G Martínez-Muñoz, A Suárez Pattern Recognition 83, 119-133, 2018	34	2018

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