Alberto Suárez

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Gonzalo Martínez MuñozUniversidad Autónoma de MadridVerified email at uam.es
Daniel Hernández-LobatoAssociate Professor, Universidad Autónoma de MadridVerified email at uam.es
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgeVerified email at cam.ac.uk
Maryam SabzevariNokia Bell LabsVerified email at nokia-bell-labs.com
james lutskoResearcher, Physics, University Libre de BruxellesVerified email at ulb.ac.be
Bahram JafrastehPostdoctoral ResearcherVerified email at uam.es
José L. TorrecillaAssistant Professor, Department of Mathematics, Universidad Autónoma de MadridVerified email at uam.es
Jean Pierre BoonProfessor Physics Dept University of BruxellesVerified email at ulb.ac.be
Víctor SotoAmazon Alexa AIVerified email at cs.columbia.edu
Carlos Ramos-CarreñoUniversidad Autónoma de MadridVerified email at uam.es
Patrick GrosfilsUniversité libre de BruxellesVerified email at ulb.ac.be
David Lopez-PazMeta AIVerified email at fb.com
Alan EdelmanProfessor of Applied Mathematics, Member Computer Science AI LABS, MITVerified email at mit.edu
Jiahao Chen 陳家豪Owner, Responsible AI LLCVerified email at mit.edu
Troy Van VoorhisMITVerified email at mit.edu
Ramis MovassaghStaff Research Scientist, Google Quantum AIVerified email at mit.edu
Francisco B RodriguezProfesor Titular Universidad 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 entos.ai
Manuel AlfonsecaProfessor of Computer Science, Universidad Autónoma de Madrid (Now Honorary)Verified email at uam.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 Martinez-Munoz, D Hernández-Lobato, A Suárez IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2), 245-259, 2008	380	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	289	1992
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	222	1999
Pruning in ordered bagging ensembles G Martínez-Muñoz, A Suárez Proceedings of the 23rd international conference on Machine learning, 609-616, 2006	215	2006
Aggregation ordering in bagging G Martınez-Munoz, A Suárez Proc. of the IASTED International Conference on Artificial Intelligence and …, 2004	184	2004
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	148	2006
Using boosting to prune bagging ensembles G Martinez-Munoz, A Suárez Pattern Recognition Letters 28 (1), 156-165, 2007	146	2007
Out-of-bag estimation of the optimal sample size in bagging G Martínez-Muñoz, A Suárez Pattern Recognition 43 (1), 143-152, 2010	143	2010
Hydrogen tunneling in condensed media A Suárez, R Silbey The Journal of chemical physics 94 (7), 4809-4816, 1991	121	1991
Switching class labels to generate classification ensembles G Martínez-Muñoz, A Suárez Pattern Recognition 38 (10), 1483-1494, 2005	120	2005
A hybrid optimization approach to index tracking R Ruiz-Torrubiano, A Suárez Annals of Operations Research 166, 57-71, 2009	118	2009
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	112	2010
How large should ensembles of classifiers be? D Hernández-Lobato, G Martínez-Muñoz, A Suárez Pattern Recognition 46 (5), 1323-1336, 2013	91	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	72	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	70	2015
A memetic algorithm for cardinality-constrained portfolio optimization with transaction costs R Ruiz-Torrubiano, A Suárez Applied Soft Computing 36, 125-142, 2015	52	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	52	2011
Vote-boosting ensembles M Sabzevari, G Martínez-Muñoz, A Suárez Pattern Recognition 83, 119-133, 2018	51	2018
Comparison of machine learning methods for copper ore grade estimation B Jafrasteh, N Fathianpour, A Suárez Computational Geosciences 22, 1371-1388, 2018	49	2018
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	44	2006

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