Juan J. Rodríguez
Juan J. Rodríguez
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Cited by
Cited by
Rotation forest: A new classifier ensemble method
JJ Rodriguez, LI Kuncheva, CJ Alonso
Pattern Analysis and Machine Intelligence, IEEE Transactions on 28 (10 …, 2006
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
An experimental study on rotation forest ensembles
LI Kuncheva, JJ Rodríguez
International Workshop on Multiple Classifier Systems, 459-468, 2007
A weighted voting framework for classifiers ensembles
LI Kuncheva, JJ Rodríguez
Knowledge and Information Systems 38 (2), 259-275, 2014
Classifier ensembles with a random linear oracle
LI Kuncheva, JJ Rodriguez
IEEE Transactions on Knowledge and Data Engineering 19 (4), 500-508, 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
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
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
Interval and dynamic time warping-based decision trees
JJ Rodríguez, CJ Alonso
Proceedings of the 2004 ACM symposium on Applied computing, 548-552, 2004
Classifier ensembles for fMRI data analysis: an experiment
LI Kuncheva, JJ Rodríguez
Magnetic resonance imaging 28 (4), 583-593, 2010
Boosting recombined weak classifiers
JJ Rodríguez, J Maudes
Pattern Recognition Letters 29 (8), 1049-1059, 2008
Boosting interval based literals
JJ Rodríguez, CJ Alonso, H Boström
Intelligent Data Analysis 5 (3), 245-262, 2001
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
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
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
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
Boosting interval-based literals: Variable length and early classification
JJ Rodríguez, CJ Alonso
Data Mining in Time Series Databases, 2004
Applying boosting to similarity literals for time series classification
JJR Diez, CJA González
International Workshop on Multiple Classifier Systems, 210-219, 2000
Supervised subspace projections for constructing ensembles of classifiers
N García-Pedrajas, J Maudes-Raedo, C García-Osorio, ...
Information Sciences 193, 1-21, 2012
Naïve Bayes ensembles with a random oracle
J Rodríguez, L Kuncheva
Multiple Classifier Systems, 450-458, 2007
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