License Plate Number Recognition - New Heuristics and a Comparative Study of Classifiers. - César Ignacio García-Osorio; José-Francisco Díez-Pastor; Juan José Rodríguez; Jesús Maudes (ICINCO-RA (1), 2008)

An Experimental Study on Ensembles of Functional Trees. - Juan José Rodríguez; César Ignacio García-Osorio; Jesús Maudes; José-Francisco Díez-Pastor (MCS, 2010)

Using Model Trees and Their Ensembles for Imbalanced Data. - Juan J. Rodríguez Diez; José-Francisco Díez-Pastor; César Ignacio García-Osorio; Pedro Santos (CAEPIA, 2011)

GRASP Forest: A New Ensemble Method for Trees. - José-Francisco Díez-Pastor; César Ignacio García-Osorio; Juan José Rodríguez; Andrés Bustillo (MCS, 2011)

Ensembles of Decision Trees for Imbalanced Data. - Juan José Rodríguez; José-Francisco Díez-Pastor; César Ignacio García-Osorio (MCS, 2011)

Random Oracles for Regression Ensembles. - Carlos Pardo; Juan J. Rodríguez Diez; José-Francisco Díez-Pastor; César Ignacio García-Osorio (Ensembles in Machine Learning Applications, 2011)

Disturbing Neighbors Ensembles of Trees for Imbalanced Data. - Juan José Rodríguez Diez; José-Francisco Díez-Pastor; Jesús Maudes; César Ignacio García-Osorio (ICMLA (2), 2012)

Linear Projection Methods - An Experimental Study for Regression Problems. - Carlos Pardo-Aguilar; José-Francisco Díez-Pastor; Nicolás García-Pedrajas; Juan José Rodríguez Diez; César Ignacio García-Osorio (ICPRAM (1), 2012)

Módulo Moodle para Gestionar Trabajos Final de Grado o Máster. - Carlos López Nozal; José-Francisco Díez-Pastor; Jesús Manuel Maudes Raedo; Raúl Marticorena Sánchez (Rev. Iberoam. de Tecnol. del Aprendiz., 2012)

Boosting Projections to improve surface roughness prediction in high-torque milling operations. - José-Francisco Díez-Pastor; Andrés Bustillo; Guillem Quintana; César Ignacio García-Osorio (Soft Comput., 2012)

Imbalanced Learning Ensembles for Defect Detection in X-Ray Images. - José-Francisco Díez-Pastor; César Ignacio García-Osorio; Víctor Barbero-García; Alan Blanco-Álamo (IEA/AIE, 2013)

Random Oracle Ensembles for Imbalanced Data. - Juan José Rodríguez Diez; José-Francisco Díez-Pastor; César Ignacio García-Osorio (MCS, 2013)

Rotation Forests for regression. - Carlos Pardo; José-Francisco Díez-Pastor; César Ignacio García-Osorio; Juan José Rodríguez Diez (Appl. Math. Comput., 2013)

An Innovative Moodle Final Project Management Module for Bachelor and Master's Studies. - Carlos López Nozal; José-Francisco Díez-Pastor; Jesús Manuel Maudes Raedo; Raúl Marticorena Sánchez (Rev. Iberoam. de Tecnol. del Aprendiz., 2013)

Tree ensemble construction using a GRASP-based heuristic and annealed randomness. - José-Francisco Díez-Pastor; César Ignacio García-Osorio; Juan José Rodríguez Diez (Inf. Fusion, 2014)

An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees. - Juan José Rodríguez Diez; José-Francisco Díez-Pastor; Álvar Arnaiz-González; César Ignacio García-Osorio (MCS, 2015)

Diversity techniques improve the performance of the best imbalance learning ensembles. - José-Francisco Díez-Pastor; Juan José Rodríguez; César Ignacio García-Osorio; Ludmila I. Kuncheva (Inf. Sci., 2015)

Random Balance: Ensembles of variable priors classifiers for imbalanced data. - José-Francisco Díez-Pastor; Juan José Rodríguez Diez; César Ignacio García-Osorio; Ludmila I. Kuncheva (Knowl. Based Syst., 2015)

Instance selection for regression by discretization. - Álvar Arnaiz-González; José-Francisco Díez-Pastor; Juan José Rodríguez Diez; César Ignacio García-Osorio (Expert Syst. Appl., 2016)

Instance selection for regression: Adapting DROP. - Álvar Arnaiz-González; José-Francisco Díez-Pastor; Juan José Rodríguez Diez; César Ignacio García-Osorio (Neurocomputing, 2016)

Instance selection of linear complexity for big data. - Álvar Arnaiz-González; José-Francisco Díez-Pastor; Juan José Rodríguez; César Ignacio García-Osorio (Knowl. Based Syst., 2016)

Random feature weights for regression trees. - Álvar Arnaiz-González; José-Francisco Díez-Pastor; César Ignacio García-Osorio; Juan José Rodríguez Diez (Prog. Artif. Intell., 2016)

MR-DIS: democratic instance selection for big data by MapReduce. - Álvar Arnaiz-González; Alejandro González-Rogel; José-Francisco Díez-Pastor; Carlos López Nozal (Prog. Artif. Intell., 2017)

Local sets for multi-label instance selection. - Álvar Arnaiz-González; José-Francisco Díez-Pastor; Juan José Rodríguez Diez; César García-Osorio (Appl. Soft Comput., 2018)

Seshat - a web-based educational resource for teaching the most common algorithms of lexical analysis. - Álvar Arnaiz-González; José-Francisco Díez-Pastor; Ismael Ramos-Pérez; César García-Osorio (Comput. Appl. Eng. Educ., 2018)

Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning. - Álvar Arnaiz-González; José-Francisco Díez-Pastor; Juan José Rodríguez Diez; César García-Osorio (Expert Syst. Appl., 2018)

Instance selection improves geometric mean accuracy: a study on imbalanced data classification. - Ludmila I. Kuncheva; Álvar Arnaiz-González; José-Francisco Díez-Pastor; Iain A. D. Gunn (Prog. Artif. Intell., 2019)

Random Balance ensembles for multiclass imbalance learning. - Juan José Rodríguez; José-Francisco Díez-Pastor; Álvar Arnaiz-González; Ludmila I. Kuncheva (Knowl. Based Syst., 2020)

Improve teaching with modalities and collaborative groups in an LMS: an analysis of monitoring using visualisation techniques. - María Consuelo Sáiz-Manzanares; Raúl Marticorena Sánchez; Juan José Rodríguez Diez; Sandra Rodríguez-Arribas; José-Francisco Díez-Pastor; Yi Peng Ji (J. Comput. High. Educ., 2021)

Defect detection and segmentation in X-Ray images of magnesium alloy castings using the Detectron2 framework. - Francisco Javier Yagüe; José-Francisco Díez-Pastor; Pedro Latorre-Carmona; César Ignacio García-Osorio (CoRR, 2022)

Deep learning and support vector machines for transcription start site identification. - José Antonio Barbero-Aparicio; Alicia Olivares-Gil; José-Francisco Díez-Pastor; César García-Osorio (PeerJ Comput. Sci., 2023)

WALGREEN: Web Based Platform for Soil Organic Carbon Inference Applications. - José Manuel Aroca; José-Francisco Díez-Pastor; Pedro Latorre-Carmona; Antonio Canepa-Oneto; Juan Carlos Rad; Gustau Camps-Valls; Víctor Elvira; César García-Osorio (IGARSS, 2024)

A Constrained Cluster Ensemble Using Hierarchical Clustering Methods. - Francis J. Williams; Samuel L. Hennessey; Ludmila I. Kuncheva; José-Francisco Díez-Pastor; Juan J. Rodriguez (IS, 2024)

Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques. - José Antonio Barbero-Aparicio; Alicia Olivares-Gil; Juan José Rodríguez; César García-Osorio; José-Francisco Díez-Pastor (Inf. Fusion, 2024)

Towards automatic phytolith classification using feature extraction and combination strategies. - José-Francisco Díez-Pastor; Pedro Latorre-Carmona; Álvar Arnaiz-González; Antonio Canepa-Oneto; Javier Ruiz-Pérez; Débora Zurro (Prog. Artif. Intell., 2024)

Correction: Towards automatic phytolith classification using feature extraction and combination strategies. - José-Francisco Díez-Pastor; Pedro Latorre-Carmona; Álvar Arnaiz-González; Antonio Canepa-Oneto; Javier Ruiz-Pérez; Débora Zurro (Prog. Artif. Intell., 2024)

Remote sensing colour image semantic segmentation of trails created by large herbivorous Mammals. - José-Francisco Díez-Pastor; Francisco Javier Gonzalez-Moya; Pedro Latorre-Carmona; Francisco Javier Perez-Barbería; Ludmila I. Kuncheva; Antonio Canepa-Oneto; Álvar Arnaiz-González; César García-Osorio (CoRR, 2025)

A Collaborative Platform for Soil Organic Carbon Inference Based on Spatiotemporal Remote Sensing Data. - Jose Manuel Aroca-Fernandez; José-Francisco Díez-Pastor; Pedro Latorre-Carmona; Victor Elvira; Gustau Camps-Valls; Rodrigo Pascual; César Ignacio García-Osorio (CoRR, 2025)

Semi-supervised prediction of protein fitness for data-driven protein engineering. - Alicia Olivares-Gil; José Antonio Barbero-Aparicio; Juan José Rodríguez; José-Francisco Díez-Pastor; César García-Osorio; Mehdi D. Davari (J. Cheminformatics, 2025)