Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps. - César Ignacio García-Osorio; Jesús Maudes; Colin Fyfe (ESANN, 2004)

The combined use of self-organizing maps and andrews' curves. - César Ignacio García-Osorio; Colin Fyfe (Int. J. Neural Syst., 2005)

Regaining sparsity in kernel principal components. - César Ignacio García-Osorio; Colin Fyfe (Neurocomputing, 2005)

Visualization of High-dimensional Data via Orthogonal Curves. - César Ignacio García-Osorio; Colin Fyfe (J. Univers. Comput. Sci., 2005)

Data mining and visualization. - César García-Osorio (2005)

Cascading for Nominal Data. - Jesús Maudes; Juan José Rodríguez; César Ignacio García-Osorio (MCS, 2007)

Nonlinear Boosting Projections for Ensemble Construction. - Nicolás García-Pedrajas; César Ignacio García-Osorio; Colin Fyfe (J. Mach. Learn. Res., 2007)

Constructing ensembles of classifiers using linear projections based on misclassified instances. - César Ignacio García-Osorio; Nicolás García-Pedrajas (ESANN, 2008)

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)

A tool for teaching LL and LR parsing algorithms. - César Ignacio García-Osorio; Carlos Gómez-Palacios; Nicolás García-Pedrajas (ITiCSE, 2008)

Teaching push-down automata and turing machines. - César Ignacio García-Osorio; Iñigo Mediavilla-Sáiz; Javier Jimeno-Visitación; Nicolás García-Pedrajas (ITiCSE, 2008)

Disturbing Neighbors Ensembles for Linear SVM. - Jesús Maudes; Juan José Rodríguez; César Ignacio García-Osorio (MCS, 2009)

Disturbing Neighbors Diversity for Decision Forests. - Jesús Maudes; Juan J. Rodríguez Diez; César Ignacio García-Osorio (Applications of Supervised and Unsupervised Ensemble Methods, 2009)

Random Projections for SVM Ensembles. - Jesús Maudes; Juan José Rodríguez; César Ignacio García-Osorio; Carlos Pardo (IEA/AIE (2), 2010)

An Empirical Study of Multilayer Perceptron Ensembles for Regression Tasks. - Carlos Pardo; Juan José Rodríguez; César Ignacio García-Osorio; Jesús Maudes (IEA/AIE (2), 2010)

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

Democratic instance selection: A linear complexity instance selection algorithm based on classifier ensemble concepts. - César Ignacio García-Osorio; Aida de Haro-García; Nicolás García-Pedrajas (Artif. Intell., 2010)

Forests of nested dichotomies. - Juan José Rodríguez; César Ignacio García-Osorio; Jesús Maudes (Pattern Recognit. Lett., 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 projections for linear SVM ensembles. - Jesús Maudes; Juan J. Rodríguez Diez; César Ignacio García-Osorio; Carlos Pardo (Appl. Intell., 2011)

Constructing ensembles of classifiers using supervised projection methods based on misclassified instances. - Nicolás García-Pedrajas; César Ignacio García-Osorio (Expert Syst. Appl., 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)

Random feature weights for decision tree ensemble construction. - Jesús Maudes; Juan J. Rodríguez Diez; César Ignacio García-Osorio; Nicolás García-Pedrajas (Inf. Fusion, 2012)

Supervised subspace projections for constructing ensembles of classifiers. - Nicolás García-Pedrajas; Jesús Manuel Maudes Raedo; César Ignacio García-Osorio; Juan José Rodríguez Diez (Inf. Sci., 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)

Boosting for class-imbalanced datasets using genetically evolved supervised non-linear projections. - Nicolás García-Pedrajas; César Ignacio García-Osorio (Prog. Artif. Intell., 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)

Fusion of instance selection methods in regression tasks. - Álvar Arnaiz-González; Marcin Blachnik; Miroslaw Kordos; César Ignacio García-Osorio (Inf. Fusion, 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)

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)

Evolutionary prototype selection for multi-output regression. - Miroslaw Kordos; Álvar Arnaiz-González; César García-Osorio (Neurocomputing, 2019)

Experimental evaluation of ensemble classifiers for imbalance in Big Data. - Mario Juez-Gil; Álvar Arnaiz-González; Juan José Rodríguez; César García-Osorio (Appl. Soft Comput., 2021)

Approx-SMOTE: Fast SMOTE for Big Data on Apache Spark. - Mario Juez-Gil; Álvar Arnaiz-González; Juan José Rodríguez; Carlos López Nozal; César García-Osorio (Neurocomputing, 2021)

Rotation Forest for Big Data. - Mario Juez-Gil; Álvar Arnaiz-González; Juan José Rodríguez Diez; Carlos López Nozal; César García-Osorio (Inf. Fusion, 2021)

Proposal of a Comparative Framework for Face Super-Resolution Algorithms in Forensics. - Antonio Salguero-Cruz; Pedro Latorre-Carmona; César Ignacio García-Osorio (IbPRIA, 2022)

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)

When is resampling beneficial for feature selection with imbalanced wide data? - Ismael Ramos-Pérez; Álvar Arnaiz-González; Juan José Rodríguez; César García-Osorio (Expert Syst. Appl., 2022)

Nonlinear physics opens a new paradigm for accurate transcription start site prediction. - José Antonio Barbero-Aparicio; Santiago Cuesta-López; César Ignacio García-Osorio; Javier Pérez-Rodríguez; Nicolás García-Pedrajas (BMC Bioinform., 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)

Ensemble methods and semi-supervised learning for information fusion: A review and future research directions. - José Luis Garrido-Labrador; Ana Serrano Mamolar; Jesús Manuel Maudes Raedo; Juan José Rodríguez; César García-Osorio (Inf. Fusion, 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)

SSLearn: A Semi-Supervised Learning library for Python. - José Luis Garrido-Labrador; Jesús Manuel Maudes Raedo; Juan José Rodríguez; César Ignacio García-Osorio (SoftwareX, 2025)

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)