Juan José Rodríguez Diez

发表

Rotation-Based Ensembles

Juan José Rodríguez Diez, Carlos J. Alonso, C. Alonso, 2003, CAEPIA.

Diagnosing scrapie in sheep: A classification experiment

Juan José Rodríguez Diez, Ludmila I. Kuncheva, Victor J. del Rio Vilas, 2007, Comput. Biol. Medicine.

Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis

Juan José Rodríguez Diez, Ludmila I. Kuncheva, L. Kuncheva, 2013, Progress in Artificial Intelligence.

Rotation Forest and Random Oracles: Two Classifier Ensemble Methods

Juan José Rodríguez Diez, 2007, CBMS.

Instance selection for regression: Adapting DROP

Juan José Rodríguez Diez, Álvar Arnaiz-González, José-Francisco Díez-Pastor, 2016, Neurocomputing.

Boosting con reutilización de clasificadores débiles

Juan José Rodríguez Diez, Jesús Manuel Maudes Raedo, 2006 .

Supervised subspace projections for constructing ensembles of classifiers

Nicolás García-Pedrajas, Juan José Rodríguez Diez, Jesús Maudes, 2012, Inf. Sci..

Learning microcontrollers with a CAI oriented multi-micro simulation environment

Juan José Rodríguez Diez, Andres Nogueiras, Alfredo del Río, 2001, IEEE Trans. Educ..

Interval and dynamic time warping-based decision trees

Juan José Rodríguez Diez, Carlos J. Alonso, C. Alonso, 2004, SAC '04.

Random Projections for SVM Ensembles

Juan José Rodríguez Diez, Carlos Pardo, Jesús Maudes, 2010, IEA/AIE.

RBF Networks from Boosted Rules

Juan José Rodríguez Diez, Carlos J. Alonso, Vanesa Paniego, 2003, SNPD.

DIAGNOSIS OF CONTINUOUS DYNAMIC SYSTEMS: INTEGRATING CONSISTENCY BASED DIAGNOSIS WITH MACHINE-LEARNING TECHNIQUES

Juan José Rodríguez Diez, Belarmino Pulido, Carlos Alonso González, 2005 .

Random Balance ensembles for multiclass imbalance learning

Juan José Rodríguez Diez, Ludmila I. Kuncheva, Álvar Arnaiz-González, 2020, Knowl. Based Syst..

Linear Projection Methods - An Experimental Study for Regression Problems

Nicolás García-Pedrajas, Juan José Rodríguez Diez, José-Francisco Díez-Pastor, 2012, ICPRAM.

Rotation Forests for regression

Juan José Rodríguez Diez, Carlos Pardo, José-Francisco Díez-Pastor, 2013, Appl. Math. Comput..

An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees

Juan José Rodríguez Diez, Álvar Arnaiz-González, José-Francisco Díez-Pastor, 2015, MCS.

Random projections for linear SVM ensembles

Juan José Rodríguez Diez, Jesús Maudes, César Ignacio García-Osorio, 2011, Applied Intelligence.

Improvements in Modelling of Complex Manufacturing Processes Using Classification Techniques

Juan José Rodríguez Diez, Andrés Bustillo, Pedro Santos, 2013, IEA/AIE.

Time Series Classification by Boosting Interval Based Literals

Juan José Rodríguez Diez, Carlos Alonso González, 2000, Inteligencia Artif..

Classifier Ensemble Methods for Diagnosing COPD from Volatile Organic Compounds in Exhaled Air

Juan José Rodríguez Diez, Ludmila I. Kuncheva, Yasir Iftikhar Syed, 2012, Int. J. Knowl. Discov. Bioinform..

Instance selection of linear complexity for big data

Juan José Rodríguez Diez, Álvar Arnaiz-González, José-Francisco Díez-Pastor, 2016, Knowl. Based Syst..

Stacking for multivariate time series classification

Juan José Rodríguez Diez, Carlos J. Alonso, Oscar J. Prieto, 2015, Pattern Analysis and Applications.

Finding optimal classifiers for small feature sets in genomics and proteomics

Peter Kokol, Juan José Rodríguez Diez, Gregor Stiglic, 2010, Neurocomputing.

Feature Selection and Classification for Small Gene Sets

Peter Kokol, Juan José Rodríguez Diez, Gregor Stiglic, 2008, PRIB.

Random Balance: Ensembles of variable priors classifiers for imbalanced data

Juan José Rodríguez Diez, Ludmila I. Kuncheva, José-Francisco Díez-Pastor, 2015, Knowl. Based Syst..

Building RBF Networks for Time Series Classification by Boosting

Juan José Rodríguez Diez, Carlos Alonso González, 2003 .

An Experimental Study on Rotation Forest Ensembles

Juan José Rodríguez Diez, Ludmila I. Kuncheva, L. Kuncheva, 2007, MCS.

Learning First Order Logic Time Series Classifiers: Rules and Boosting

Henrik Boström, Juan José Rodríguez Diez, Carlos Alonso González, 2000, PKDD.

An experimental evaluation of mixup regression forests

Juan José Rodríguez Diez, Ludmila I. Kuncheva, Álvar Arnaiz-González, 2020, Expert Syst. Appl..

Ensemble Methods and Model Based Diagnosis Using Possible Conflicts and System Decomposition

Juan José Rodríguez Diez, Carlos J. Alonso, Belarmino Pulido Junquera, 2010, IEA/AIE.

Ensembles of Grafted Trees

Juan José Rodríguez Diez, Jesús Maudes, Jesús Maudes, 2006, ECAI.

Lifelong Learning from Sustainable Education: An Analysis with Eye Tracking and Data Mining Techniques

Juan José Rodríguez Diez, Raúl Marticorena Sánchez, María Consuelo Sáiz Manzanares, 2020 .

Disturbing Neighbors Diversity for Decision Forests

Juan José Rodríguez Diez, Jesús Maudes, César Ignacio García-Osorio, 2009, Applications of Supervised and Unsupervised Ensemble Methods.

Using Model Trees and Their Ensembles for Imbalanced Data

Juan José Rodríguez Diez, Pedro Santos, José-Francisco Díez-Pastor, 2011, CAEPIA.

Obtención Automática de Clases Genéricas a Través de una Operación de Parametrización

Juan José Rodríguez Diez, José Manuel Marqués Corral, Yania Crespo, 1999, JISBD.

GRASP Forest: A New Ensemble Method for Trees

Juan José Rodríguez Diez, Andrés Bustillo, José-Francisco Díez-Pastor, 2011, MCS.

Disturbing Neighbors Ensembles of Trees for Imbalanced Data

Juan José Rodríguez Diez, Jesús Maudes, José-Francisco Díez-Pastor, 2012, 2012 11th International Conference on Machine Learning and Applications.

Classifier Ensembles with a Random Linear Oracle

Juan José Rodríguez Diez, Ludmila I. Kuncheva, L. Kuncheva, 2007, IEEE Transactions on Knowledge and Data Engineering.

Restricted set classification: Who is there?

Juan José Rodríguez Diez, Ludmila I. Kuncheva, Aaron S. Jackson, 2017, Pattern Recognit..

An Empirical Study of Multilayer Perceptron Ensembles for Regression Tasks

Juan José Rodríguez Diez, Carlos Pardo, Jesús Maudes, 2010, IEA/AIE.

Specification for a versatile data acquisition module for a supervision application

Juan José Rodríguez Diez, Esteban R. Gelso, José A. Maestro Prieto, 2004 .

Boosting Interval-Based Literals: Variable Length and Early Classification

Juan José Rodríguez Diez, Carlos Alonso González, 2003 .

Early Fault Classification in Dynamic Systems Using Case-Based Reasoning

Juan José Rodríguez Diez, Carlos J. Alonso, Belarmino Pulido Junquera, 2005, CAEPIA.

Rotation Forest: A New Classifier Ensemble Method

Juan José Rodríguez Diez, Carlos J. Alonso, Ludmila I. Kuncheva, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Tree ensemble construction using a GRASP-based heuristic and annealed randomness

Juan José Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio, 2014, Inf. Fusion.

Cascading for Nominal Data

Juan José Rodríguez Diez, Jesús Maudes, César Ignacio García-Osorio, 2007, MCS.

Online breakage detection of multitooth tools using classifier ensembles for imbalanced data

Juan José Rodríguez Diez, Andrés Bustillo, A. Bustillo, 2014, Int. J. Syst. Sci..

Rotation-based ensembles of RBF networks

Juan José Rodríguez Diez, Carlos J. Alonso, Jesús Maudes, 2006, ESANN.

Naïve Bayes Ensembles with a Random Oracle

Juan José Rodríguez Diez, Ludmila I. Kuncheva, L. Kuncheva, 2007, MCS.

Learning First Order Logic Time Series Classifiers

Henrik Boström, Juan José Rodríguez Diez, Carlos J. Alonso, 2000, ILP Work-in-progress reports.

Diversity techniques improve the performance of the best imbalance learning ensembles

Juan José Rodríguez Diez, Ludmila I. Kuncheva, José-Francisco Díez-Pastor, 2015, Inf. Sci..

Applying Boosting to Similarity Literals for Time Series Classification

Juan José Rodríguez Diez, Carlos Alonso González, 2000, Multiple Classifier Systems.

Combining Online Classification Approaches for Changing Environments

Juan José Rodríguez Diez, Ludmila I. Kuncheva, L. Kuncheva, 2008, SSPR/SPR.

Random feature weights for regression trees

Juan José Rodríguez Diez, Álvar Arnaiz-González, José-Francisco Díez-Pastor, 2016, Progress in Artificial Intelligence.

A decision-making tool based on decision trees for roughness prediction in face milling

Joaquim Ciurana, Juan José Rodríguez Diez, Andrés Bustillo, 2017, Int. J. Comput. Integr. Manuf..

Boosting recombined weak classifiers

Juan José Rodríguez Diez, Jesús Maudes, Jesús Maudes, 2008, Pattern Recognit. Lett..

Stacking Dynamic Time Warping for the Diagnosis of Dynamic Systems

Juan José Rodríguez Diez, Carlos J. Alonso, Belarmino Pulido Junquera, 2007, CAEPIA.

Disturbing Neighbors Ensembles for Linear SVM

Juan José Rodríguez Diez, Jesús Maudes, César Ignacio García-Osorio, 2009, MCS.

Support vector machines of interval-based features for time series classification

Juan José Rodríguez Diez, Carlos J. Alonso, José A. Maestro, 2005, Knowl. Based Syst..

Obtaining generic classes automatically through a parameterization operator. A focus on constrained genericity

Juan José Rodríguez Diez, José Manuel Marqués Corral, Yania Crespo, 1999, Proceedings Technology of Object-Oriented Languages and Systems (Cat. No.PR00393).

Random feature weights for decision tree ensemble construction

Nicolás García-Pedrajas, Juan José Rodríguez Diez, Jesús Maudes, 2012, Inf. Fusion.

Boosting interval based literals

Henrik Boström, Juan José Rodríguez Diez, Carlos Alonso González, 2001, Intell. Data Anal..

Random Oracle Ensembles for Imbalanced Data

Juan José Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio, 2013, MCS.

Enhancing Consistency Based Diagnosis with Machine Learning Techniques

Juan José Rodríguez Diez, Carlos J. Alonso, Belarmino Pulido Junquera, 2003, CAEPIA.

On feature selection protocols for very low-sample-size data

Juan José Rodríguez Diez, Ludmila I. Kuncheva, L. Kuncheva, 2018, Pattern Recognit..

Modelling of process parameters in laser polishing of steel components using ensembles of regression trees

Juan José Rodríguez Diez, Andrés Bustillo, Aitzol Lamikiz, 2011, Int. J. Comput. Integr. Manuf..

Ensembles of Decision Trees for Imbalanced Data

Juan José Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio, 2011, MCS.

A weighted voting framework for classifiers ensembles

Juan José Rodríguez Diez, Ludmila I. Kuncheva, L. Kuncheva, 2012, Knowledge and Information Systems.

Bias and Variance of Rotation-Based Ensembles

Juan José Rodríguez Diez, Carlos J. Alonso, Oscar J. Prieto, 2005, IWANN.

Combining univariate approaches for ensemble change detection in multivariate data

Juan José Rodríguez Diez, Ludmila I. Kuncheva, William J. Faithfull, 2018, Inf. Fusion.

Random Oracles for Regression Ensembles

Juan José Rodríguez Diez, Carlos Pardo, José-Francisco Díez-Pastor, 2011, Ensembles in Machine Learning Applications.

An Experimental Study on Ensembles of Functional Trees

Juan José Rodríguez Diez, Jesús Maudes, José-Francisco Díez-Pastor, 2010, MCS.

Learning Classification RBF Networks by Boosting

Juan José Rodríguez Diez, Carlos Alonso González, 2001, Multiple Classifier Systems.

Using ensembles of regression trees to monitor lubricating oil quality

Susana Ferreiro, Eneko Gorritxategi, Juan José Rodríguez Diez, 2011, IEA/AIE'11.

Clasificación de Series: Máquinas de Vectores Soporte y Literales basados en Intervalos

Juan José Rodríguez Diez, Carlos J. Alonso, C. J. Alonso, 2007, Inteligencia Artif..

Forests of nested dichotomies

Juan José Rodríguez Diez, Jesús Maudes, César Ignacio García-Osorio, 2010, Pattern Recognit. Lett..

Random Subspace Ensembles for fMRI Classification

Juan José Rodríguez Diez, David E. J. Linden, Ludmila I. Kuncheva, 2010, IEEE Transactions on Medical Imaging.

License Plate Number Recognition - New Heuristics and a Comparative Study of Classifiers

Juan José Rodríguez Diez, Jesús Maudes, José-Francisco Díez-Pastor, 2008, ICINCO-RA.

Local sets for multi-label instance selection

Juan José Rodríguez Diez, Álvar Arnaiz-González, José-Francisco Díez-Pastor, 2018, Appl. Soft Comput..

Instance selection for regression by discretization

Juan José Rodríguez Diez, Álvar Arnaiz-González, José-Francisco Díez-Pastor, 2016, Expert Syst. Appl..

Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning

Juan José Rodríguez Diez, Álvar Arnaiz-González, José-Francisco Díez-Pastor, 2018, Expert Syst. Appl..

Support vector machines of interval-based features for time series classification

Juan José Rodríguez Diez, Carlos J. Alonso, C. Alonso, 2004, Knowl. Based Syst..

Clasificación de Patrones Temporales en Sistemas Dinámicos mediante Boosting y Alineamiento Dinámico Temporal

Juan José Rodríguez Diez, Carlos J. Alonso, Q. Isaac Moro, 2001, Computación y Sistemas.

Experimental evaluation of ensemble classifiers for imbalance in Big Data

Juan José Rodríguez Diez, Álvar Arnaiz-González, César García-Osorio, 2021, Applied Soft Computing.

Boosting Interval-Based Time Series Classifiers

Juan José Rodríguez Diez, C. A. González, 2007 .

Gestión de trabajos fin de carrera

Juan José Rodríguez Diez, Raúl Marticorena Sánchez, Carlos López Nozal, 2008 .

Applying Simple Combining Techniques with Artificial Neural Networks to Some Standard Time Series Classification Problems

Juan José Rodríguez Diez, C. A. González, 2007 .

A weighted voting framework for classifiers ensembles

Juan José Rodríguez Diez, L. Kuncheva, 2014, Knowledge and Information Systems.

Improve teaching with modalities and collaborative groups in an LMS: an analysis of monitoring using visualisation techniques

Juan José Rodríguez Diez, M. Sáiz-Manzanares, J. Díez-Pastor, 2021, Journal of Computing in Higher Education.

A Benchmark Database for Animal Re-Identification and Tracking

Juan José Rodríguez Diez, L. Kuncheva, Francis Williams, 2022, 2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS).

Random feature weights for regression trees

Juan José Rodríguez Diez, C. García-Osorio, J. Díez-Pastor, 2016, Progress in Artificial Intelligence.

Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale pdf

Juan José Rodríguez Diez, Ludmila I. Kuncheva, Álvar Arnaiz-González, 2020, ArXiv.

Grupo de Trabajo

Juan José Rodríguez Diez, Vicente Sanchís Almenar, G. Z. Cosano, 2006 .

An experiment on animal re-identification from video

Juan José Rodríguez Diez, José Luis Garrido-Labrador, L. Kuncheva, 2023, Ecol. Informatics.