Juan José Rodríguez Diez

26 papers Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults.
Appl. Intell.
José Alberto Maestro-Prieto, José Miguel Ramírez-Sanz, Andrés Bustillo, Juan José Rodríguez Diez
2021 J jnl
Improve teaching with modalities and collaborative groups in an LMS: an analysis of monitoring using visualisation techniques.
J. Comput. High. Educ.
María Consuelo Sáiz-Manzanares, Raúl Marticorena Sánchez, Juan José Rodríguez Diez, Sandra Rodríguez-Arribas, José-Francisco Díez-Pastor, Yi Peng Ji
2021 J jnl
Rotation Forest for Big Data.
Inf. Fusion
Mario Juez-Gil, Álvar Arnaiz-González, Juan José Rodríguez Diez, Carlos López Nozal, César García-Osorio
2019 J jnl
Combining univariate approaches for ensemble change detection in multivariate data.
Inf. Fusion
William J. Faithfull, Juan José Rodríguez Diez, Ludmila I. Kuncheva
2018 J jnl
Local sets for multi-label instance selection.
Appl. Soft Comput.
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César García-Osorio
2018 J jnl
On feature selection protocols for very low-sample-size data.
Pattern Recognit.
Ludmila I. Kuncheva, Juan José Rodríguez Diez
2018 J jnl
Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning.
Expert Syst. Appl.
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César García-Osorio
2017 J jnl
A decision-making tool based on decision trees for roughness prediction in face milling.
Int. J. Comput. Integr. Manuf.
Juan José Rodríguez Diez, Guillem Quintana, Andrés Bustillo, Joaquim Ciurana
2017 J jnl
Restricted set classification: Who is there?
Pattern Recognit.
Ludmila I. Kuncheva, Juan José Rodríguez Diez, Aaron S. Jackson
2016 J jnl
Instance selection for regression by discretization.
Expert Syst. Appl.
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio
2016 J jnl
Instance selection for regression: Adapting DROP.
Neurocomputing
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio
2016 J jnl
Random feature weights for regression trees.
Prog. Artif. Intell.
Álvar Arnaiz-González, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez
2015 — conf
An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees.
MCS
Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, César Ignacio García-Osorio
2015 J jnl
Random Balance: Ensembles of variable priors classifiers for imbalanced data.
Knowl. Based Syst.
José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio, Ludmila I. Kuncheva
2015 J jnl
Stacking for multivariate time series classification.
Pattern Anal. Appl.
Oscar J. Prieto, Carlos J. Alonso-González, Juan José Rodríguez Diez
2014 J jnl
A weighted voting framework for classifiers ensembles.
Knowl. Inf. Syst.
Ludmila I. Kuncheva, Juan José Rodríguez Diez
2014 J jnl
Online breakage detection of multitooth tools using classifier ensembles for imbalanced data.
Int. J. Syst. Sci.
Andrés Bustillo, Juan José Rodríguez Diez
2014 J jnl
Tree ensemble construction using a GRASP-based heuristic and annealed randomness.
Inf. Fusion
José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez
2013 J jnl
Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis.
Prog. Artif. Intell.
Ludmila I. Kuncheva, Juan José Rodríguez Diez
2013 — conf
Random Oracle Ensembles for Imbalanced Data.
MCS
Juan José Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio
2013 J jnl
Rotation Forests for regression.
Appl. Math. Comput.
Carlos Pardo, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez
2012 — conf
Disturbing Neighbors Ensembles of Trees for Imbalanced Data.
ICMLA (2)
Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Jesús Maudes, César Ignacio García-Osorio
2012 — conf
Linear Projection Methods - An Experimental Study for Regression Problems.
ICPRAM (1)
Carlos Pardo-Aguilar, José-Francisco Díez-Pastor, Nicolás García-Pedrajas, Juan José Rodríguez Diez, César Ignacio García-Osorio
2012 J jnl
Supervised subspace projections for constructing ensembles of classifiers.
Inf. Sci.
Nicolás García-Pedrajas, Jesús Manuel Maudes Raedo, César Ignacio García-Osorio, Juan José Rodríguez Diez
2010 J jnl
Finding optimal classifiers for small feature sets in genomics and proteomics.
Neurocomputing
Gregor Stiglic, Juan José Rodríguez Diez, Peter Kokol
2010 J jnl
Random Subspace Ensembles for fMRI Classification.
IEEE Trans. Medical Imaging
Ludmila I. Kuncheva, Juan José Rodríguez Diez, Catrin O. Plumpton, David E. J. Linden, Stephen J. Johnston