Ángel Navia-Vázquez

46 papers A 1B 2C 1Misc 3Journal 31Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
"A priori" shapley data value estimation.
Pattern Anal. Appl.
Ángel Navia-Vázquez, Jesús Cid-Sueiro, Manuel A. Vázquez
2025 J jnl
Unlearning in distributed budget support vector machine.
Soft Comput.
Ángel Navia-Vázquez
2022 J jnl
Budget Distributed Support Vector Machine for Non-ID Federated Learning Scenarios.
ACM Trans. Intell. Syst. Technol.
Ángel Navia-Vázquez, Roberto Díaz-Morales, Marcos Fernández Díaz
2022 — ch.
Increasing Trust for Data Spaces with Federated Learning.
Data Spaces
Susanna Bonura, Davide Dalle Carbonare, Roberto Díaz-Morales, Ángel Navia-Vázquez, Mark Purcell, Stephanie Rossello
2022 — ch.
Privacy-Preserving Technologies for Trusted Data Spaces.
Technologies and Applications for Big Data Value
Susanna Bonura, Davide Dalle Carbonare, Roberto Díaz-Morales, Marcos Fernández Díaz, Lucrezia Morabito, Luis Muñoz-González, Chiara Napione, Ángel Navia-Vázquez, Mark Purcell
2020 J jnl
Distributed Nonlinear Semiparametric Support Vector Machine for Big Data Applications on Spark Frameworks.
IEEE Trans. Syst. Man Cybern. Syst.
Roberto Díaz-Morales, Ángel Navia-Vázquez
2017 J jnl
LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs.
Knowl. Based Syst.
Roberto Díaz-Morales, Ángel Navia-Vázquez
2017 J jnl
Training Support Vector Machines with privacy-protected data.
Pattern Recognit.
Francisco Javier González-Serrano, Ángel Navia-Vázquez, Adrian Amor-Martin
2016 J jnl
Efficient parallel implementation of kernel methods.
Neurocomputing
Roberto Díaz-Morales, Ángel Navia-Vázquez
2016 J jnl
Improving the efficiency of IRWLS SVMs using parallel Cholesky factorization.
Pattern Recognit. Lett.
Roberto Díaz-Morales, Ángel Navia-Vázquez
2014 — conf
Optimization of AMS using Weighted AUC optimized models.
HEPML@NIPS
Roberto Díaz-Morales, Ángel Navia-Vázquez
2012 J jnl
Automatic removal of ocular artefacts using adaptive filtering and independent component analysis for electroencephalogram data.
IET Signal Process.
Carlos Guerrero-Mosquera, Ángel Navia-Vázquez
2012 J jnl
Combination of Recursive Least p -Norm Algorithms for Robust Adaptive Filtering in Alpha-Stable Noise.
IEEE Trans. Signal Process.
Ángel Navia-Vázquez, Jerónimo Arenas-García
2011 J jnl
Adaptive One-Class Support Vector Machine.
IEEE Trans. Signal Process.
Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Miguel Lázaro-Gredilla, Ángel Navia-Vázquez
2011 J jnl
Adaptive sigmoidal plant identification using reduced sensitivity recursive least squares.
Signal Process.
Ángel Navia-Vázquez, Roberto Díaz-Morales
2011 — conf
Dimensionality reduction for EEG classification using Mutual Information and SVM.
MLSP
Carlos Guerrero-Mosquera, Michel Verleysen, Ángel Navia-Vázquez
2011 B conf
Parallel Semiparametric Support Vector Machines.
IJCNN
Roberto Díaz-Morales, Harold Y. Molina-Bulla, Ángel Navia-Vázquez
2010 J jnl
Fast error estimation for efficient support vector machine growing.
Neurocomputing
Ángel Navia-Vázquez, Roberto Díaz-Morales
2010 J jnl
New feature extraction approach for epileptic EEG signal detection using time-frequency distributions.
Medical Biol. Eng. Comput.
Carlos Guerrero-Mosquera, Armando Malanda-Trigueros, Jorge Iriarte Franco, Ángel Navia-Vázquez
2009 — conf
Automatic removal of ocular artifacts from EEG data using adaptive filtering and Independent Component Analysis.
EUSIPCO
Carlos Guerrero-Mosquera, Ángel Navia-Vázquez
2007 J jnl
Compact multi-class support vector machine.
Neurocomputing
Ángel Navia-Vázquez
2007 J jnl
Support vector perceptrons.
Neurocomputing
Ángel Navia-Vázquez
2006 J jnl
Distributed support vector machines.
IEEE Trans. Neural Networks
Ángel Navia-Vázquez, D. Gutiérrez-González, Emilio Parrado-Hernández, J. J. Navarro-Abellan
2006 J jnl
Plant identification via adaptive combination of transversal filters.
Signal Process.
Jerónimo Arenas-García, Manel Martínez-Ramón, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2006 J jnl
Support Vector Machines for Nonlinear Kernel ARMA System Identification.
IEEE Trans. Neural Networks
Manel Martínez-Ramón, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Jordi Muñoz-Marí, Ángel Navia-Vázquez, Emilio Soria-Olivas, Aníbal R. Figueiras-Vidal
2006 J jnl
Support vector machine interpretation.
Neurocomputing
Ángel Navia-Vázquez, Emilio Parrado-Hernández
2005 Misc conf
Multi-kernel Growing Support Vector Regressor.
IWANN
D. Gutiérrez-González, Emilio Parrado-Hernández, Ángel Navia-Vázquez
2005 J jnl
Support vector machines framework for linear signal processing.
Signal Process.
José Luis Rojo-Álvarez, Gustavo Camps-Valls, Manel Martínez-Ramón, Emilio Soria-Olivas, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2004 J jnl
Adaptively combined LMS and logistic equalizers.
IEEE Signal Process. Lett.
Manel Martínez-Ramón, Antonio Artés-Rodríguez, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2004 J jnl
Advantages of Unbiased Support Vector Classifiers for Data Mining Applications.
J. VLSI Signal Process.
Ángel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
2003 J jnl
Empirical risk minimization for support vector classifiers.
IEEE Trans. Neural Networks
Fernando Pérez-Cruz, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
2003 J jnl
Growing support vector classifiers with controlled complexity.
Pattern Recognit.
Emilio Parrado-Hernández, I. Mora-Jiménez, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Ángel Navia-Vázquez
2003 Misc conf
InterMediActor: an Environment for Instructional Content Design Based on Competences.
SAC
Francisco J. Valverde-Albacete, R. Pedraza-Jiménez, Jesús Cid-Sueiro, Paloma Díaz-Pérez, Ángel Navia-Vázquez, Harold Y. Molina-Bulla
2003 J jnl
InterMediActor: an Environment for Instructional Content Design Based on Competences.
J. Educ. Technol. Soc.
Francisco J. Valverde-Albacete, R. Pedraza-Jiménez, Harold Y. Molina-Bulla, Jesús Cid-Sueiro, Paloma Díaz-Pérez, Ángel Navia-Vázquez
2003 J jnl
On problem-oriented kernel refining.
Neurocomputing
Emilio Parrado-Hernández, Jerónimo Arenas-García, I. Mora-Jiménez, Ángel Navia-Vázquez
2002 C conf
A Trainable Classifier via k Nearest Neighbors.
HIS
I. Mora-Jiménez, Abdelouahid Lyhyaoui, Jerónimo Arenas-García, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2002 — conf
An adaptive combination of adaptive filters for plant identification.
DSP
Manel Martínez-Ramón, Jerónimo Arenas-García, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2002 A conf
I-Gaia: an information processing layer for the DIET platform.
AAMAS
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
2001 J jnl
SVC-based equalizer for burst TDMA transmissions.
Signal Process.
Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez
2001 J jnl
Weighted least squares training of support vector classifiers leading to compact and adaptive schemes.
IEEE Trans. Neural Networks
Ángel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
2000 B conf
A New Spread Spectrum Watermarking Method with Self-Synchronization Capabilities.
ICIP
I. Mora-Jiménez, Ángel Navia-Vázquez
2000 — conf
An IRWLS procedure for SVR.
EUSIPCO
Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez
2000 J jnl
Efficient Block Training of Multilayer Perceptrons.
Neural Comput.
Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2000 — conf
Fast Training of Support Vector Classifiers.
NIPS
Fernando Pérez-Cruz, Pedro Luis Alarcón-Diana, Ángel Navia-Vázquez, Antonio Artés-Rodríguez
2000 Misc conf
Support vector classifier with hyperbolic tangent penalty function.
ICASSP
Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez
1999 J jnl
Total least squares for block training of neural networks.
Neurocomputing
Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal