Alberto Suárez 个人学术档案

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	总计	2019 年至今
引用	3765	1328
h 指数	27	19
i10 指数	57	28

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Gonzalo Martínez MuñozUniversidad Autónoma de Madrid在 uam.es 的电子邮件经过验证
Daniel Hernández-LobatoAssociate Professor, Universidad Autónoma de Madrid在 uam.es 的电子邮件经过验证
José Miguel Hernández-LobatoProfessor of Machine Learning, University of Cambridge在 cam.ac.uk 的电子邮件经过验证
Maryam SabzevariNokia Bell Labs在 nokia-bell-labs.com 的电子邮件经过验证
james lutskoResearcher, Physics, University Libre de Bruxelles在 ulb.ac.be 的电子邮件经过验证
José L. TorrecillaAssistant Professor, Department of Mathematics, Universidad Autónoma de Madrid在 uam.es 的电子邮件经过验证
Bahram JafrastehPostdoctoral Associate at Weill Cornell Medicine在 med.cornell.edu 的电子邮件经过验证
Carlos Ramos-CarreñoUniversidad Autónoma de Madrid在 uam.es 的电子邮件经过验证
Jean Pierre BoonProfessor Physics Dept University of Bruxelles在 ulb.be 的电子邮件经过验证
Víctor SotoAmazon Alexa AI在 cs.columbia.edu 的电子邮件经过验证
David Lopez-PazAI at Meta在 fb.com 的电子邮件经过验证
Patrick GrosfilsUniversité libre de Bruxelles在 ulb.ac.be 的电子邮件经过验证
Alan EdelmanProfessor of Applied Mathematics, Member Computer Science AI LABS, MIT在 mit.edu 的电子邮件经过验证
Jiahao Chen 陳家豪Owner, Responsible AI LLC在 mit.edu 的电子邮件经过验证
Troy Van VoorhisMIT在 mit.edu 的电子邮件经过验证
Ramis MovassaghGoogle Quantum AI在 mit.edu 的电子邮件经过验证
Eric HontzPhysical Chemistry PhD candidate, Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Matthew WelbornIambic Therapeutics在 iambic.ai 的电子邮件经过验证
Francisco B Rodriguez (ORCID: 0000-...Profesor Titular Universidad of Computer Science - Universidad Autónoma de Madrid在 uam.es 的电子邮件经过验证
Manuel AlfonsecaProfessor of Computer Science, Universidad Autónoma de Madrid (Now Honorary)在 uam.es 的电子邮件经过验证

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Alberto Suárez

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

在 uam.es 的电子邮件经过验证 - 首页

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


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	390	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	301	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	242	1999
Pruning in ordered bagging ensembles G Martínez-Muñoz, A Suárez Proceedings of the 23rd international conference on Machine learning, 609-616, 2006	225	2006
Aggregation ordering in bagging G Martınez-Munoz, A Suárez Proc. of the IASTED International Conference on Artificial Intelligence and …, 2004	187	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	156	2006
Out-of-bag estimation of the optimal sample size in bagging G Martínez-Muñoz, A Suárez Pattern Recognition 43 (1), 143-152, 2010	151	2010
Using boosting to prune bagging ensembles G Martinez-Munoz, A Suárez Pattern Recognition Letters 28 (1), 156-165, 2007	149	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	120	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	95	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	79	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	73	2008
Comparison of machine learning methods for copper ore grade estimation B Jafrasteh, N Fathianpour, A Suárez Computational Geosciences 22, 1371-1388, 2018	59	2018
A memetic algorithm for cardinality-constrained portfolio optimization with transaction costs R Ruiz-Torrubiano, A Suárez Applied Soft Computing 36, 125-142, 2015	58	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
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	45	2006

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