Juan José Rodríguez Diez

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 15

Top Topics

Ensemble Methods

Class Imbalanced

Imbalanced Data

Instance Selection

Top Venues

Expert Syst. Appl.

Pattern Recognit.

Knowl. Inf. Syst.

Publications

José Alberto Maestro-Prieto, José Miguel Ramírez-Sanz, Andrés Bustillo, Juan José Rodríguez Diez
Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults. Appl. Intell. 54 (6) (2024)
María Consuelo Sáiz-Manzanares, Raúl Marticorena Sánchez, Juan José Rodríguez Diez, Sandra Rodríguez-Arribas, José-Francisco Díez-Pastor, Yi Peng Ji
Improve teaching with modalities and collaborative groups in an LMS: an analysis of monitoring using visualisation techniques. J. Comput. High. Educ. 33 (3) (2021)
Mario Juez-Gil, Álvar Arnaiz-González, Juan José Rodríguez Diez, Carlos López Nozal, César García-Osorio
Rotation Forest for Big Data. Inf. Fusion 74 (2021)
William J. Faithfull, Juan José Rodríguez Diez, Ludmila I. Kuncheva
Combining univariate approaches for ensemble change detection in multivariate data. Inf. Fusion 45 (2019)
Ludmila I. Kuncheva, Juan José Rodríguez Diez
On feature selection protocols for very low-sample-size data. Pattern Recognit. 81 (2018)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César García-Osorio
Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning. Expert Syst. Appl. 109 (2018)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César García-Osorio
Local sets for multi-label instance selection. Appl. Soft Comput. 68 (2018)
Ludmila I. Kuncheva, Juan José Rodríguez Diez, Aaron S. Jackson
Restricted set classification: Who is there? Pattern Recognit. 63 (2017)
Juan José Rodríguez Diez, Guillem Quintana, Andrés Bustillo, Joaquim Ciurana
A decision-making tool based on decision trees for roughness prediction in face milling. Int. J. Comput. Integr. Manuf. 30 (9) (2017)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio
Instance selection for regression by discretization. Expert Syst. Appl. 54 (2016)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez
Random feature weights for regression trees. Prog. Artif. Intell. 5 (2) (2016)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio
Instance selection for regression: Adapting DROP. Neurocomputing 201 (2016)
José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio, Ludmila I. Kuncheva
Random Balance: Ensembles of variable priors classifiers for imbalanced data. Knowl. Based Syst. 85 (2015)
Oscar J. Prieto, Carlos J. Alonso-González, Juan José Rodríguez Diez
Stacking for multivariate time series classification. Pattern Anal. Appl. 18 (2) (2015)
Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, César Ignacio García-Osorio
An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees. MCS (2015)
Ludmila I. Kuncheva, Juan José Rodríguez Diez
A weighted voting framework for classifiers ensembles. Knowl. Inf. Syst. 38 (2) (2014)
Andrés Bustillo, Juan José Rodríguez Diez
Online breakage detection of multitooth tools using classifier ensembles for imbalanced data. Int. J. Syst. Sci. 45 (12) (2014)
José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez
Tree ensemble construction using a GRASP-based heuristic and annealed randomness. Inf. Fusion 20 (2014)
Ludmila I. Kuncheva, Juan José Rodríguez Diez
Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis. Prog. Artif. Intell. 2 (1) (2013)
Carlos Pardo, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez
Rotation Forests for regression. Appl. Math. Comput. 219 (19) (2013)
Juan José Rodríguez Diez, José-Francisco Díez-Pastor, César Ignacio García-Osorio
Random Oracle Ensembles for Imbalanced Data. MCS (2013)
Nicolás García-Pedrajas, Jesús Manuel Maudes Raedo, César Ignacio García-Osorio, Juan José Rodríguez Diez
Supervised subspace projections for constructing ensembles of classifiers. Inf. Sci. 193 (2012)
Carlos Pardo-Aguilar, José-Francisco Díez-Pastor, Nicolás García-Pedrajas, Juan José Rodríguez Diez, César Ignacio García-Osorio
Linear Projection Methods - An Experimental Study for Regression Problems. ICPRAM (1) (2012)
Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Jesús Maudes, César Ignacio García-Osorio
Disturbing Neighbors Ensembles of Trees for Imbalanced Data. ICMLA (2) (2012)
Gregor Stiglic, Juan José Rodríguez Diez, Peter Kokol
Finding optimal classifiers for small feature sets in genomics and proteomics. Neurocomputing 73 (13-15) (2010)
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. Medical Imaging 29 (2) (2010)