Juan José Rodríguez Diez

According to our database1, Juan José Rodríguez Diez
  • authored at least 71 papers between 1999 and 2017.
  • has a "Dijkstra number"2 of five.

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Bibliography

2017
Restricted set classification: Who is there?
Pattern Recognition, 2017

A decision-making tool based on decision trees for roughness prediction in face milling.
Int. J. Computer Integrated Manufacturing, 2017

2016
Random feature weights for regression trees.
Progress in AI, 2016

Instance selection of linear complexity for big data.
Knowl.-Based Syst., 2016

Instance selection for regression: Adapting DROP.
Neurocomputing, 2016

Instance selection for regression by discretization.
Expert Syst. Appl., 2016

2015
Stacking for multivariate time series classification.
Pattern Anal. Appl., 2015

Random Balance: Ensembles of variable priors classifiers for imbalanced data.
Knowl.-Based Syst., 2015

Diversity techniques improve the performance of the best imbalance learning ensembles.
Inf. Sci., 2015

An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

2014
A weighted voting framework for classifiers ensembles.
Knowl. Inf. Syst., 2014

Tree ensemble construction using a GRASP-based heuristic and annealed randomness.
Information Fusion, 2014

Online breakage detection of multitooth tools using classifier ensembles for imbalanced data.
Int. J. Systems Science, 2014

2013
Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis.
Progress in AI, 2013

Rotation Forests for regression.
Applied Mathematics and Computation, 2013

Random Oracle Ensembles for Imbalanced Data.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Improvements in Modelling of Complex Manufacturing Processes Using Classification Techniques.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

2012
Supervised subspace projections for constructing ensembles of classifiers.
Inf. Sci., 2012

Random feature weights for decision tree ensemble construction.
Information Fusion, 2012

Classifier Ensemble Methods for Diagnosing COPD from Volatile Organic Compounds in Exhaled Air.
IJKDB, 2012

Linear Projection Methods - An Experimental Study for Regression Problems.
Proceedings of the ICPRAM 2012, 2012

Disturbing Neighbors Ensembles of Trees for Imbalanced Data.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
Random Oracles for Regression Ensembles.
Proceedings of the Ensembles in Machine Learning Applications, 2011

Modelling of process parameters in laser polishing of steel components using ensembles of regression trees.
Int. J. Computer Integrated Manufacturing, 2011

Random projections for linear SVM ensembles.
Appl. Intell., 2011

Ensembles of Decision Trees for Imbalanced Data.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

GRASP Forest: A New Ensemble Method for Trees.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

Using Ensembles of Regression Trees to Monitor Lubricating Oil Quality.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

Using Model Trees and Their Ensembles for Imbalanced Data.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Random Subspace Ensembles for fMRI Classification.
IEEE Trans. Med. Imaging, 2010

Forests of nested dichotomies.
Pattern Recognition Letters, 2010

Finding optimal classifiers for small feature sets in genomics and proteomics.
Neurocomputing, 2010

An Experimental Study on Ensembles of Functional Trees.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

An Empirical Study of Multilayer Perceptron Ensembles for Regression Tasks.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Random Projections for SVM Ensembles.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Ensemble Methods and Model Based Diagnosis Using Possible Conflicts and System Decomposition.
Proceedings of the Trends in Applied Intelligent Systems, 2010

2009
Disturbing Neighbors Diversity for Decision Forests.
Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009

Disturbing Neighbors Ensembles for Linear SVM.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

2008
Boosting recombined weak classifiers.
Pattern Recognition Letters, 2008

Combining Online Classification Approaches for Changing Environments.
Proceedings of the Structural, 2008

Feature Selection and Classification for Small Gene Sets.
Proceedings of the Pattern Recognition in Bioinformatics, 2008

License Plate Number Recognition - New Heuristics and a Comparative Study of Classifiers.
Proceedings of the ICINCO 2008, 2008

2007
Classifier Ensembles with a Random Linear Oracle.
IEEE Trans. Knowl. Data Eng., 2007

Diagnosing scrapie in sheep: A classification experiment.
Comp. in Bio. and Med., 2007

Naïve Bayes Ensembles with a Random Oracle.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Cascading for Nominal Data.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

An Experimental Study on Rotation Forest Ensembles.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Rotation Forest and Random Oracles: Two Classifier Ensemble Methods.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007

Stacking Dynamic Time Warping for the Diagnosis of Dynamic Systems.
Proceedings of the Current Topics in Artificial Intelligence, 2007

2006
Rotation Forest: A New Classifier Ensemble Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Rotation-based ensembles of RBF networks.
Proceedings of the ESANN 2006, 2006

Ensembles of Grafted Trees.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005
Support vector machines of interval-based features for time series classification.
Knowl.-Based Syst., 2005

Bias and Variance of Rotation-Based Ensembles.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Early Fault Classification in Dynamic Systems Using Case-Based Reasoning.
Proceedings of the Current Topics in Artificial Intelligence, 2005

2004
Clasificación de Series: Máquinas de Vectores Soporte y Literales basados en Intervalos.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2004

Support Vector Machines of Interval-based Features for Time Series Classification.
Proceedings of the Research and Development in Intelligent Systems XXI, 2004

Interval and dynamic time warping-based decision trees.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

2003
RBF Networks from Boosted Rules.
Proceedings of the ACIS Fourth International Conference on Software Engineering, 2003

Rotation-Based Ensembles.
Proceedings of the Current Topics in Artificial Intelligence, 2003

Enhancing Consistency Based Diagnosis with Machine Learning Techniques.
Proceedings of the Current Topics in Artificial Intelligence, 2003

2001
Learning microcontrollers with a CAI oriented multi-micro simulation environment.
IEEE Trans. Education, 2001

Boosting interval based literals.
Intell. Data Anal., 2001

Clasificación de Patrones Temporales en Sistemas Dinámicos mediante Boosting y Alineamiento Dinámico Temporal.
Computación y Sistemas, 2001

Learning Classification RBF Networks by Boosting.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

2000
Time Series Classification by Boosting Interval Based Literals.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2000

Learning First Order Logic Time Series Classifiers: Rules and Boosting.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Applying Boosting to Similarity Literals for Time Series Classification.
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

Learning First Order Logic Time Series Classifiers.
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

1999
Obtaining Generic Classes Automatically through a Parameterization Operator: A Focus on Constrained Genericity.
Proceedings of the TOOLS 1999: 31st International Conference on Technology of Object-Oriented Languages and Systems, 1999

Obtención Automática de Clases Genéricas a Través de una Operación de Parametrización.
Proceedings of the IV Jornadas de Ingeniería del Software y Bases de Datos (JISBD'99), 1999


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