Juan José Rodríguez Diez

Juan J. Rodríguez Diez, Juan José Rodríguez

	2012
j15		Jesús Maudes, Juan J. Rodríguez Diez, Cesar García-Osorio, Nicolás García-Pedrajas: Random feature weights for decision tree ensemble construction. Information Fusion 13(1): 20-30 (2012)
j14		Nicolás García-Pedrajas, Jesús Manuel Maudes Raedo, Cesar García-Osorio, Juan José Rodríguez Diez: Supervised subspace projections for constructing ensembles of classifiers. Inf. Sci. 193: 1-21 (2012)
	2011
j13		Jesús Maudes, Juan J. Rodríguez Diez, Cesar García-Osorio, Carlos Pardo: Random projections for linear SVM ensembles. Appl. Intell. 34(3): 347-359 (2011)
j12		Andrés Bustillo, Eneko Ukar, Juan José Rodríguez, Aitzol Lamikiz: Modelling of process parameters in laser polishing of steel components using ensembles of regression trees. Int. J. Computer Integrated Manufacturing 24(8): 735-747 (2011)
c32		Juan J. Rodríguez Diez, José-Francisco Díez-Pastor, Cesar García-Osorio, Pedro Santos: Using Model Trees and Their Ensembles for Imbalanced Data. CAEPIA 2011: 94-103
c31		Andrés Bustillo, Alberto Villar, Eneko Gorritxategi, Susana Ferreiro, Juan José Rodríguez: Using Ensembles of Regression Trees to Monitor Lubricating Oil Quality. IEA/AIE (1) 2011: 199-206
c30		José-Francisco Díez-Pastor, Cesar García-Osorio, Juan José Rodríguez, Andrés Bustillo: GRASP Forest: A New Ensemble Method for Trees. MCS 2011: 66-75
c29		Juan José Rodríguez, José-Francisco Díez-Pastor, Cesar García-Osorio: Ensembles of Decision Trees for Imbalanced Data. MCS 2011: 76-85
p2		Carlos Pardo, Juan J. Rodríguez Diez, José-Francisco Díez-Pastor, Cesar García-Osorio: Random Oracles for Regression Ensembles. Ensembles in Machine Learning Applications 2011: 181-199
	2010
j11		Juan José Rodríguez, Cesar García-Osorio, Jesús Maudes: Forests of nested dichotomies. Pattern Recognition Letters 31(2): 125-132 (2010)
j10		Ludmila I. Kuncheva, Juan José Rodríguez Diez, Catrin O. Plumpton, David E. J. Linden, Stephen J. Johnston: Random Subspace Ensembles for fMRI Classification. IEEE Trans. Med. Imaging 29(2): 531-542 (2010)
c28		Jesús Maudes, Juan José Rodríguez, Cesar García-Osorio, Carlos Pardo: Random Projections for SVM Ensembles. IEA/AIE (2) 2010: 87-95
c27		Carlos Pardo, Juan José Rodríguez, Cesar García-Osorio, Jesús Maudes: An Empirical Study of Multilayer Perceptron Ensembles for Regression Tasks. IEA/AIE (2) 2010: 106-115
c26		Carlos J. Alonso-González, Juan José Rodríguez, Oscar J. Prieto, Belarmino Pulido Junquera: Ensemble Methods and Model Based Diagnosis Using Possible Conflicts and System Decomposition. IEA/AIE (2) 2010: 116-125
c25		Juan José Rodríguez, Cesar García-Osorio, Jesús Maudes, José-Francisco Díez-Pastor: An Experimental Study on Ensembles of Functional Trees. MCS 2010: 64-73
	2009
c24		Jesús Maudes, Juan José Rodríguez, Cesar García-Osorio: Disturbing Neighbors Ensembles for Linear SVM. MCS 2009: 191-200
p1		Jesús Maudes, Juan J. Rodríguez Diez, Cesar García-Osorio: Disturbing Neighbors Diversity for Decision Forests. Applications of Supervised and Unsupervised Ensemble Methods 2009: 113-133
	2008
j9		Juan José Rodríguez, Jesús Maudes: Boosting recombined weak classifiers. Pattern Recognition Letters 29(8): 1049-1059 (2008)
c23		Cesar García-Osorio, José-Francisco Díez-Pastor, Juan José Rodríguez, Jesús Maudes: License Plate Number Recognition - New Heuristics and a Comparative Study of Classifiers. ICINCO-RA (1) 2008: 268-273
c22		Gregor Stiglic, Juan J. Rodríguez Diez, Peter Kokol: Feature Selection and Classification for Small Gene Sets. PRIB 2008: 121-131
c21		Juan José Rodríguez, Ludmila I. Kuncheva: Combining Online Classification Approaches for Changing Environments. SSPR/SPR 2008: 520-529
	2007
j8		Ludmila I. Kuncheva, Victor J. del Rio Vilas, Juan J. Rodríguez Diez: Diagnosing scrapie in sheep: A classification experiment. Comp. in Bio. and Med. 37(8): 1194-1202 (2007)
j7		Ludmila I. Kuncheva, Juan José Rodríguez: Classifier Ensembles with a Random Linear Oracle. IEEE Trans. Knowl. Data Eng. 19(4): 500-508 (2007)
c20		Carlos J. Alonso, Oscar J. Prieto, Juan José Rodríguez, Aníbal Bregón, Belarmino Pulido Junquera: Stacking Dynamic Time Warping for the Diagnosis of Dynamic Systems. CAEPIA 2007: 11-20
c19		Juan J. Rodríguez Diez: Rotation Forest and Random Oracles: Two Classifier Ensemble Methods. CBMS 2007: 3
c18		Jesús Maudes, Juan José Rodríguez, Cesar García-Osorio: Cascading for Nominal Data. MCS 2007: 231-240
c17		Juan José Rodríguez, Ludmila I. Kuncheva: Naïve Bayes Ensembles with a Random Oracle. MCS 2007: 450-458
c16		Ludmila I. Kuncheva, Juan José Rodríguez: An Experimental Study on Rotation Forest Ensembles. MCS 2007: 459-468
	2006
j6		Juan José Rodríguez, Ludmila I. Kuncheva, Carlos J. Alonso: Rotation Forest: A New Classifier Ensemble Method. IEEE Trans. Pattern Anal. Mach. Intell. 28(10): 1619-1630 (2006)
c15		Juan José Rodríguez, Jesús Maudes: Ensembles of Grafted Trees. ECAI 2006: 803-804
c14		Juan José Rodríguez, Jesús Maudes, Carlos J. Alonso: Rotation-based ensembles of RBF networks. ESANN 2006: 605-610
	2005
j5		Juan José Rodríguez, Carlos J. Alonso, José A. Maestro: Support vector machines of interval-based features for time series classification. Knowl.-Based Syst. 18(4-5): 171-178 (2005)
c13		Aníbal Bregón, María Aránzazu Simón Hurtado, Juan José Rodríguez, Carlos J. Alonso, Belarmino Pulido Junquera, Q. Isaac Moro: Early Fault Classification in Dynamic Systems Using Case-Based Reasoning. CAEPIA 2005: 211-220
c12		Juan José Rodríguez, Carlos J. Alonso, Oscar J. Prieto: Bias and Variance of Rotation-Based Ensembles. IWANN 2005: 779-786
	2004
j4		Juan José Rodríguez, Carlos J. Alonso: Clasificación de Series: Máquinas de Vectores Soporte y Literales basados en Intervalos. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 8(23): 131-138 (2004)
c11		Juan José Rodríguez, Carlos J. Alonso: Interval and dynamic time warping-based decision trees. SAC 2004: 548-552
c10		Juan José Rodríguez, Carlos J. Alonso: Support Vector Machines of Interval-based Features for Time Series Classification. SGAI Conf. 2004: 244-257
	2003
c9		Carlos J. Alonso, Juan José Rodríguez, Belarmino Pulido Junquera: Enhancing Consistency Based Diagnosis with Machine Learning Techniques. CAEPIA 2003: 312-321
c8		Juan José Rodríguez, Carlos J. Alonso: Rotation-Based Ensembles. CAEPIA 2003: 498-506
c7		Juan José Rodríguez, Vanesa Paniego, Leticia Villar, Carlos J. Alonso: RBF Networks from Boosted Rules. SNPD 2003: 460-465
	2001
j3		Juan J. Rodríguez Diez, Carlos J. Alonso, Q. Isaac Moro-Sancho: Clasificación de Patrones Temporales en Sistemas Dinámicos mediante Boosting y Alineamiento Dinámico Temporal. Computación y Sistemas 5(2) (2001)
j2		Juan J. Rodríguez Diez, Carlos Alonso González, Henrik Boström: Boosting interval based literals. Intell. Data Anal. 5(3): 245-262 (2001)
c6		Juan J. Rodríguez Diez, Carlos Alonso González: Learning Classification RBF Networks by Boosting. Multiple Classifier Systems 2001: 43-52
	2000
j1		Carlos Alonso González, Juan J. Rodríguez Diez: Time Series Classification by Boosting Interval Based Literals. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 4(11): 2-11 (2000)
c5		Juan José Rodríguez, Carlos J. Alonso, Henrik Boström: Learning First Order Logic Time Series Classifiers. ILP Work-in-progress reports 2000
c4		Juan J. Rodríguez Diez, Carlos Alonso González: Applying Boosting to Similarity Literals for Time Series Classification. Multiple Classifier Systems 2000: 210-219
c3		Juan J. Rodríguez Diez, Carlos Alonso González, Henrik Boström: Learning First Order Logic Time Series Classifiers: Rules and Boosting. PKDD 2000: 299-308
	1999
c2		Yania Crespo, Juan José Rodríguez, Francisco José García Peñalvo, José Manuel Marqués Corral: Obtención Automática de Clases Genéricas a Través de una Operación de Parametrización. JISBD 1999: 343-354
c1		Yania Crespo, Juan José Rodríguez, José Manuel Marqués Corral: Obtaining Generic Classes Automatically through a Parameterization Operator: A Focus on Constrained Genericity. TOOLS (31) 1999: 166-176

Coauthor Index

Colors in the list of coauthors

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