Listar Artículos ADMIRABLE por autor "Rodríguez Diez, Juan José"

Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques

Barbero Aparicio, José Antonio

; Olivares Gil, Alicia

; Rodríguez Diez, Juan José

; García Osorio, César

; Diez Pastor, José Francisco

(2024-02, Elsevier)

Artículo

Combining univariate approaches for ensemble change detection in multivariate data

Faithfull, William J. .; Rodríguez Diez, Juan José

; Kuncheva, Ludmila I. .

(2019-01, Elsevier)

Artículo

Ensemble methods and semi-supervised learning for information fusion: A review and future research directions

Garrido Labrador, José Luis

; Serrano Mamolar, Ana

; Maudes Raedo, Jesús M.

; Rodríguez Diez, Juan José

; García Osorio, César

(2024-07, Elsevier)

Artículo

An experiment on animal re-identification from video

Kuncheva, Ludmila I. .; Garrido Labrador, José Luis

; Ramos Pérez, Ismael

; Hennessey, Samuel L.; Rodríguez Diez, Juan José

(2023-05, Elsevier)

Artículo

Experimental Assessment of Feature Extraction Techniques Applied to the Identification of Properties of Common Objects, Using a Radar System

Diez Pastor, José Francisco

; Latorre Carmona, Pedro

; Garrido Labrador, José Luis

; Ramírez Sanz, José Miguel

; Rodríguez Diez, Juan José

(2021-07, MDPI)

Artículo

Experimental evaluation of ensemble classifiers for imbalance in Big Data

Juez Gil, Mario

; Arnaiz González, Álvar

; Rodríguez Diez, Juan José

; García Osorio, César

(2021-09, Elsevier)

Artículo

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

Sáiz Manzanares, María Consuelo

; Marticorena Sánchez, Raúl

; Rodríguez Diez, Juan José

; Rodríguez Arribas, Sandra

; Diez Pastor, José Francisco

; Ji, Yi Peng

(2021-12, Springer)

Artículo

Instance selection of linear complexity for big data

Arnaiz González, Álvar

; Diez Pastor, José Francisco

; Rodríguez Diez, Juan José

; García Osorio, César

(2016-09, Elsevier)

Artículo

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

Sáiz Manzanares, María Consuelo

; Rodríguez Diez, Juan José

; Marticorena Sánchez, Raúl

; Zaparaín Yáñez, Mª José

; Cerezo Menéndez, Rebeca

(2020-03, MDPI)

Artículo

Monitoring of Student Learning in Learning Management Systems: An Application of Educational Data Mining Techniques

Sáiz Manzanares, María Consuelo

; Rodríguez Diez, Juan José

; Diez Pastor, José Francisco

; Rodríguez Arribas, Sandra

; Marticorena Sánchez, Raúl

; Ji, Yi Peng

(2021-03, MDPI)

Artículo

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

Kuncheva, Ludmila I. .; Rodríguez Diez, Juan José

(2018-09, Elsevier)

Artículo

Random Balance ensembles for multiclass imbalance learning

Rodríguez Diez, Juan José

; Diez Pastor, José Francisco

; Arnaiz González, Álvar

; Kuncheva, Ludmila I. .

(2020-04, Elsevier)

Artículo

Restricted set classification: Who is there?

Kuncheva, Ludmila I. .; Rodríguez Diez, Juan José

; Jackson, Aaron S. .

(2017-03, Elsevier)

Artículo

Rotation Forest for multi-target regression

Rodríguez Diez, Juan José

; Juez Gil, Mario

; López Nozal, Carlos

; Arnaiz González, Álvar

(2022-02, Springer)

Artículo

Semi-supervised classification with pairwise constraints: A case study on animal identification from video

Kuncheva, Ludmila I. .; Garrido Labrador, José Luis

; Ramos Pérez, Ismael

; Hennessey, Samuel L.; Rodríguez Diez, Juan José

(2023-12, Elsevier)

Artículo

When is resampling beneficial for feature selection with imbalanced wide data?

Ramos Pérez, Ismael

; Arnaiz González, Álvar

; Rodríguez Diez, Juan José

; García Osorio, César

(2022-02, Elsevier)

Artículo

When is resampling beneficial for feature selection with imbalanced wide data?

Ramos Pérez, Ismael

; Arnaiz González, Álvar

; Rodríguez Diez, Juan José

; García Osorio, César

(2022-02, Elsevier)

Artículo

Listar Artículos ADMIRABLE por autor "Rodríguez Diez, Juan José"

Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques ﻿

Combining univariate approaches for ensemble change detection in multivariate data ﻿

Ensemble methods and semi-supervised learning for information fusion: A review and future research directions ﻿

An experiment on animal re-identification from video ﻿

Experimental Assessment of Feature Extraction Techniques Applied to the Identification of Properties of Common Objects, Using a Radar System ﻿

Experimental evaluation of ensemble classifiers for imbalance in Big Data ﻿

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

Instance selection of linear complexity for big data ﻿

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

Monitoring of Student Learning in Learning Management Systems: An Application of Educational Data Mining Techniques ﻿

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

Random Balance ensembles for multiclass imbalance learning ﻿

Restricted set classification: Who is there? ﻿

Rotation Forest for multi-target regression ﻿

Semi-supervised classification with pairwise constraints: A case study on animal identification from video ﻿

When is resampling beneficial for feature selection with imbalanced wide data? ﻿

When is resampling beneficial for feature selection with imbalanced wide data? ﻿

Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques

Combining univariate approaches for ensemble change detection in multivariate data

Ensemble methods and semi-supervised learning for information fusion: A review and future research directions

An experiment on animal re-identification from video

Experimental Assessment of Feature Extraction Techniques Applied to the Identification of Properties of Common Objects, Using a Radar System

Experimental evaluation of ensemble classifiers for imbalance in Big Data

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

Instance selection of linear complexity for big data

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

Monitoring of Student Learning in Learning Management Systems: An Application of Educational Data Mining Techniques

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

Random Balance ensembles for multiclass imbalance learning

Restricted set classification: Who is there?

Rotation Forest for multi-target regression

Semi-supervised classification with pairwise constraints: A case study on animal identification from video

When is resampling beneficial for feature selection with imbalanced wide data?

When is resampling beneficial for feature selection with imbalanced wide data?