Total least squares for block training of neural networks. - Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal (Neurocomputing, 1999)

An IRWLS procedure for SVR. - Fernando Pérez-Cruz; Ángel Navia-Vázquez; Pedro Luis Alarcón-Diana; Antonio Artés-Rodríguez (EUSIPCO, 2000)

Support vector classifier with hyperbolic tangent penalty function. - Fernando Pérez-Cruz; Ángel Navia-Vázquez; Pedro Luis Alarcón-Diana; Antonio Artés-Rodríguez (ICASSP, 2000)

A New Spread Spectrum Watermarking Method with Self-Synchronization Capabilities. - I. Mora-Jiménez; Ángel Navia-Vázquez (ICIP, 2000)

Fast Training of Support Vector Classifiers. - Fernando Pérez-Cruz; Pedro Luis Alarcón-Diana; Ángel Navia-Vázquez; Antonio Artés-Rodríguez (NIPS, 2000)

Efficient Block Training of Multilayer Perceptrons. - Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal (Neural Comput., 2000)

SVC-based equalizer for burst TDMA transmissions. - Fernando Pérez-Cruz; Ángel Navia-Vázquez; Pedro Luis Alarcón-Diana; Antonio Artés-Rodríguez (Signal Process., 2001)

Weighted least squares training of support vector classifiers leading to compact and adaptive schemes. - Ángel Navia-Vázquez; Fernando Pérez-Cruz; Antonio Artés-Rodríguez; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks, 2001)

I-Gaia: an information processing layer for the DIET platform. - Ascensión Gallardo-Antolín; Ángel Navia-Vázquez; Harold Y. Molina-Bulla; A. B. Rodríguez-González; Francisco J. Valverde-Albacete; Jesús Cid-Sueiro; Aníbal R. Figueiras-Vidal; T. Koutris; C. Xirouhaki; Manolis Koubarakis (AAMAS, 2002)

A Trainable Classifier via k Nearest Neighbors. - I. Mora-Jiménez; Abdelouahid Lyhyaoui; Jerónimo Arenas-García; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal (HIS, 2002)

An adaptive combination of adaptive filters for plant identification. - Manel Martínez-Ramón; Jerónimo Arenas-García; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal (DSP, 2002)

InterMediActor: an Environment for Instructional Content Design Based on Competences. - Francisco J. Valverde-Albacete; R. Pedraza-Jiménez; Harold Y. Molina-Bulla; Jesús Cid-Sueiro; Paloma Díaz-Pérez; Ángel Navia-Vázquez (J. Educ. Technol. Soc., 2003)

On problem-oriented kernel refining. - Emilio Parrado-Hernández; Jerónimo Arenas-García; I. Mora-Jiménez; Ángel Navia-Vázquez (Neurocomputing, 2003)

Growing support vector classifiers with controlled complexity. - Emilio Parrado-Hernández; I. Mora-Jiménez; Jerónimo Arenas-García; Aníbal R. Figueiras-Vidal; Ángel Navia-Vázquez (Pattern Recognit., 2003)

Empirical risk minimization for support vector classifiers. - Fernando Pérez-Cruz; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez (IEEE Trans. Neural Networks, 2003)

Adaptively combined LMS and logistic equalizers. - Manel Martínez-Ramón; Antonio Artés-Rodríguez; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal (IEEE Signal Process. Lett., 2004)

Advantages of Unbiased Support Vector Classifiers for Data Mining Applications. - Ángel Navia-Vázquez; Fernando Pérez-Cruz; Antonio Artés-Rodríguez; Aníbal R. Figueiras-Vidal (J. VLSI Signal Process., 2004)

Multi-kernel Growing Support Vector Regressor. - D. Gutiérrez-González; Emilio Parrado-Hernández; Ángel Navia-Vázquez (IWANN, 2005)

Support vector machines framework for linear signal processing. - José Luis Rojo-Álvarez; Gustavo Camps-Valls; Manel Martínez-Ramón; Emilio Soria-Olivas; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal (Signal Process., 2005)

Support vector machine interpretation. - Ángel Navia-Vázquez; Emilio Parrado-Hernández (Neurocomputing, 2006)

Plant identification via adaptive combination of transversal filters. - Jerónimo Arenas-García; Manel Martínez-Ramón; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal (Signal Process., 2006)

Support Vector Machines for Nonlinear Kernel ARMA System Identification. - Manel Martínez-Ramón; José Luis Rojo-Álvarez; Gustavo Camps-Valls; Jordi Muñoz-Marí; Ángel Navia-Vázquez; Emilio Soria-Olivas; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks, 2006)

Distributed support vector machines. - Ángel Navia-Vázquez; D. Gutiérrez-González; Emilio Parrado-Hernández; J. J. Navarro-Abellan (IEEE Trans. Neural Networks, 2006)

Compact multi-class support vector machine. - Ángel Navia-Vázquez (Neurocomputing, 2007)

Support vector perceptrons. - Ángel Navia-Vázquez (Neurocomputing, 2007)

Automatic removal of ocular artifacts from EEG data using adaptive filtering and Independent Component Analysis. - Carlos Guerrero-Mosquera; Ángel Navia-Vázquez (EUSIPCO, 2009)

Fast error estimation for efficient support vector machine growing. - Ángel Navia-Vázquez; Roberto Díaz-Morales (Neurocomputing, 2010)

New feature extraction approach for epileptic EEG signal detection using time-frequency distributions. - Carlos Guerrero-Mosquera; Armando Malanda-Trigueros; Jorge Iriarte Franco; Ángel Navia-Vázquez (Medical Biol. Eng. Comput., 2010)

Parallel Semiparametric Support Vector Machines. - Roberto Díaz-Morales; Harold Y. Molina-Bulla; Ángel Navia-Vázquez (IJCNN, 2011)

Dimensionality reduction for EEG classification using Mutual Information and SVM. - Carlos Guerrero-Mosquera; Michel Verleysen; Ángel Navia-Vázquez (MLSP, 2011)

Adaptive sigmoidal plant identification using reduced sensitivity recursive least squares. - Ángel Navia-Vázquez; Roberto Díaz-Morales (Signal Process., 2011)

Adaptive One-Class Support Vector Machine. - Vanessa Gómez-Verdejo; Jerónimo Arenas-García; Miguel Lázaro-Gredilla; Ángel Navia-Vázquez (IEEE Trans. Signal Process., 2011)

Automatic removal of ocular artefacts using adaptive filtering and independent component analysis for electroencephalogram data. - Carlos Guerrero-Mosquera; Ángel Navia-Vázquez (IET Signal Process., 2012)

Combination of Recursive Least p -Norm Algorithms for Robust Adaptive Filtering in Alpha-Stable Noise. - Ángel Navia-Vázquez; Jerónimo Arenas-García (IEEE Trans. Signal Process., 2012)

Optimization of AMS using Weighted AUC optimized models. - Roberto Díaz-Morales; Ángel Navia-Vázquez (HEPML@NIPS, 2014)

Efficient parallel implementation of kernel methods. - Roberto Díaz-Morales; Ángel Navia-Vázquez (Neurocomputing, 2016)

Improving the efficiency of IRWLS SVMs using parallel Cholesky factorization. - Roberto Díaz-Morales; Ángel Navia-Vázquez (Pattern Recognit. Lett., 2016)

LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs. - Roberto Díaz-Morales; Ángel Navia-Vázquez (Knowl. Based Syst., 2017)

Training Support Vector Machines with privacy-protected data. - Francisco Javier González-Serrano; Ángel Navia-Vázquez; Adrian Amor-Martin (Pattern Recognit., 2017)

Distributed Nonlinear Semiparametric Support Vector Machine for Big Data Applications on Spark Frameworks. - Roberto Díaz-Morales; Ángel Navia-Vázquez (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Privacy-Preserving Technologies for Trusted Data Spaces. - Susanna Bonura; Davide Dalle Carbonare; Roberto Díaz-Morales; Marcos Fernández Díaz; Lucrezia Morabito; Luis Muñoz-González; Chiara Napione; Ángel Navia-Vázquez; Mark Purcell (Technologies and Applications for Big Data Value, 2022)

Increasing Trust for Data Spaces with Federated Learning. - Susanna Bonura; Davide Dalle Carbonare; Roberto Díaz-Morales; Ángel Navia-Vázquez; Mark Purcell; Stephanie Rossello (Data Spaces, 2022)

Budget Distributed Support Vector Machine for Non-ID Federated Learning Scenarios. - Ángel Navia-Vázquez; Roberto Díaz-Morales; Marcos Fernández Díaz (ACM Trans. Intell. Syst. Technol., 2022)