Juan J. Rodríguez

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	All	Since 2016
Citations	4210	2207
h-index	25	18
i10-index	47	31

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Co-authors

Carlos J. Alonso GonzálezProfesor Titular de Universidad, Universidad de ValaldolidVerified email at infor.uva.es
Ludmila KunchevaProfessor of Computer Science, Bangor University, UKVerified email at bangor.ac.uk
César García-OsorioUniversidad de Burgos (Spain)Verified email at ubu.es
Jesus MaudesProfesor de Informática (UBU)Verified email at ubu.es
Álvar Arnaiz-GonzálezUniversidad de BurgosVerified email at ubu.es
Belarmino PulidoProfesor de Informática - Associate Professor (UVA)Verified email at infor.uva.es
Carlos Pardo AguilarUniversidad de BurgosVerified email at ubu.es
Andres BustilloUniversity of BurgosVerified email at ubu.es
Nicolas Garcia-PedrajasUniversity of CórdobaVerified email at uco.es
Henrik BoströmProfessor in computer science - data science systems, KTH Royal Institute of TechnologyVerified email at kth.se
José M. Marqués CorralAssociate Professor, Computer Science, Universidad de ValladolidVerified email at infor.uva.es
Stephen JohnstonAssociate Professor, Swansea UniversityVerified email at swansea.ac.uk
Catrin PlumptonBangor UniversityVerified email at bangor.ac.uk
David E LindenMaastricht UniversityVerified email at maastrichtuniversity.nl
M Aránzazu Simón HurtadoProfesora de informática UVaVerified email at infor.uva.es
Yania CrespoUniversidad de ValladolidVerified email at infor.uva.es
Gregor StiglicAssociate Professor of Computer Science, University of Maribor, Faculty of Health ScienceVerified email at um.si
Peter KokolUniversity of Maribor, Faculty of electrical, engineering and computer scienceVerified email at um.si
Raúl MarticorenaUniversidad de BurgosVerified email at ubu.es
Carlos López NozalProfesor Titular de Escuela UniversitariaVerified email at ubu.es

Juan J. Rodríguez

Universidad de Burgos

Verified email at ubu.es - Homepage

Machine Learning Data Mining


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Rotation forest: A new classifier ensemble method JJ Rodriguez, LI Kuncheva, CJ Alonso Pattern Analysis and Machine Intelligence, IEEE Transactions on 28 (10 …, 2006	1732	2006
An experimental study on rotation forest ensembles LI Kuncheva, JJ Rodríguez International Workshop on Multiple Classifier Systems, 459-468, 2007	218	2007
Random subspace ensembles for fMRI classification LI Kuncheva, JJ Rodríguez, CO Plumpton, DEJ Linden, SJ Johnston IEEE transactions on medical imaging 29 (2), 531-542, 2010	215	2010
A weighted voting framework for classifiers ensembles LI Kuncheva, JJ Rodríguez Knowledge and Information Systems 38 (2), 259-275, 2014	166	2014
Classifier ensembles with a random linear oracle LI Kuncheva, JJ Rodriguez IEEE Transactions on Knowledge and Data Engineering 19 (4), 500-508, 2007	161	2007
Random balance: ensembles of variable priors classifiers for imbalanced data JF Díez-Pastor, JJ Rodríguez, C García-Osorio, LI Kuncheva Knowledge-Based Systems 85, 96-111, 2015	142	2015
Diversity techniques improve the performance of the best imbalance learning ensembles JF Díez-Pastor, JJ Rodríguez, CI García-Osorio, LI Kuncheva Information Sciences 325, 98-117, 2015	112	2015
Support vector machines of interval-based features for time series classification JJ Rodríguez, CJ Alonso, JA Maestro Knowledge-Based Systems 18 (4-5), 171-178, 2005	107	2005
Interval and dynamic time warping-based decision trees JJ Rodríguez, CJ Alonso Proceedings of the 2004 ACM symposium on Applied computing, 548-552, 2004	105	2004
Classifier ensembles for fMRI data analysis: an experiment LI Kuncheva, JJ Rodríguez Magnetic resonance imaging 28 (4), 583-593, 2010	95	2010
Boosting recombined weak classifiers JJ Rodríguez, J Maudes Pattern Recognition Letters 29 (8), 1049-1059, 2008	71	2008
Boosting interval based literals JJ Rodríguez, CJ Alonso, H Boström Intelligent Data Analysis 5 (3), 245-262, 2001	62	2001
Random feature weights for decision tree ensemble construction J Maudes, JJ Rodríguez, C García-Osorio, N García-Pedrajas Information Fusion 13 (1), 20-30, 2012	51	2012
Instance selection of linear complexity for big data Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, C García-Osorio Knowledge-Based Systems 107, 83-95, 2016	46	2016
Learning first order logic time series classifiers: Rules and boosting JJ Rodríguez, CJ Alonso, H Boström European Conference on Principles of Data Mining and Knowledge Discovery …, 2000	46	2000
Early fault classification in dynamic systems using case-based reasoning A Bregón, M Simón, J Rodríguez, C Alonso, B Pulido, I Moro Current Topics in Artificial Intelligence, 211-220, 2006	42	2006
Applying boosting to similarity literals for time series classification JJR Diez, CJA González International Workshop on Multiple Classifier Systems, 210-219, 2000	37	2000
Naïve Bayes ensembles with a random oracle J Rodríguez, L Kuncheva Multiple Classifier Systems, 450-458, 2007	34	2007
Time series classification by boosting interval based literals C Alonso, J Rodriguez Inteligencia Artificial 4 (11), 2000	34*	2000
Supervised subspace projections for constructing ensembles of classifiers N García-Pedrajas, J Maudes-Raedo, C García-Osorio, ... Information Sciences 193, 1-21, 2012	33	2012

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