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
Ruben Ruiz-TorrubianoProfessor, IMC Krems University of Applied SciencesVerified email at fh-krems.ac.at
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
José L. TorrecillaAssistant Professor, Department of Mathematics, Universidad Autónoma de MadridVerified email at uam.es
Bahram JafrastehPostdoctoral Associate at Weill Cornell MedicineVerified email at med.cornell.edu
Carlos Ramos-CarreñoUniversidad Autónoma de MadridVerified email at uam.es
Jean Pierre BoonProfessor Physics Dept University of BruxellesVerified email at ulb.be
Víctor SotoAmazon Alexa AIVerified email at cs.columbia.edu
David Lopez-PazAI at MetaVerified 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
Patrick GrosfilsUniversité libre de BruxellesVerified email at ulb.ac.be
Ramis MovassaghGoogle Quantum AIVerified email at mit.edu
Pablo Marcos-ManchónUniversity of BarcelonaVerified email at ub.edu
Eric HontzPhysical Chemistry PhD candidate, Massachusetts Institute of TechnologyVerified email at mit.edu
Matthew WelbornIambic TherapeuticsVerified email at iambic.ai

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	394	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	306	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	248	1999
Pruning in ordered bagging ensembles G Martínez-Muñoz, A Suárez Proceedings of the 23rd international conference on Machine learning, 609-616, 2006	229	2006
Aggregation ordering in bagging G Martınez-Munoz, A Suárez Proc. of the IASTED International Conference on Artificial Intelligence and …, 2004	190	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	160	2006
Out-of-bag estimation of the optimal sample size in bagging G Martínez-Muñoz, A Suárez Pattern Recognition 43 (1), 143-152, 2010	153	2010
Using boosting to prune bagging ensembles G Martinez-Munoz, A Suárez Pattern Recognition Letters 28 (1), 156-165, 2007	153	2007
A hybrid optimization approach to index tracking R Ruiz-Torrubiano, A Suárez Annals of Operations Research 166, 57-71, 2009	125	2009
Switching class labels to generate classification ensembles G Martínez-Muñoz, A Suárez Pattern Recognition 38 (10), 1483-1494, 2005	121	2005
Hydrogen tunneling in condensed media A Suárez, R Silbey The Journal of chemical physics 94 (7), 4809-4816, 1991	119	1991
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	115	2010
How large should ensembles of classifiers be? D Hernández-Lobato, G Martínez-Muñoz, A Suárez Pattern Recognition 46 (5), 1323-1336, 2013	96	2013
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	84	2015
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	74	2008
Comparison of machine learning methods for copper ore grade estimation B Jafrasteh, N Fathianpour, A Suárez Computational Geosciences 22, 1371-1388, 2018	67	2018
A memetic algorithm for cardinality-constrained portfolio optimization with transaction costs R Ruiz-Torrubiano, A Suárez Applied Soft Computing 36, 125-142, 2015	59	2015
Vote-boosting ensembles M Sabzevari, G Martínez-Muñoz, A Suárez Pattern Recognition 83, 119-133, 2018	57	2018
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	55	2011
A two-stage ensemble method for the detection of class-label noise M Sabzevari, G Martínez-Muñoz, A Suárez Neurocomputing 275, 2374-2383, 2018	45	2018

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