Ángel Navia-Vázquez

Publication Activity (10 Years)

Years Active: 1999-2022
Publications (10 Years): 6

Top Topics

Newly Constructed

Top Venues

Pattern Recognit.

IEEE Trans. Syst. Man Cybern. Syst.

ACM Trans. Intell. Syst. Technol.

Pattern Recognit. Lett.

Publications

Ángel Navia-Vázquez, Roberto Díaz-Morales, Marcos Fernández Díaz
Budget Distributed Support Vector Machine for Non-ID Federated Learning Scenarios. ACM Trans. Intell. Syst. Technol. 13 (6) (2022)
Roberto Díaz-Morales, Ángel Navia-Vázquez
Distributed Nonlinear Semiparametric Support Vector Machine for Big Data Applications on Spark Frameworks. IEEE Trans. Syst. Man Cybern. Syst. 50 (11) (2020)
Roberto Díaz-Morales, Ángel Navia-Vázquez
LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs. Knowl. Based Syst. 136 (2017)
Francisco Javier González-Serrano, Ángel Navia-Vázquez, Adrian Amor-Martin
Training Support Vector Machines with privacy-protected data. Pattern Recognit. 72 (2017)
Roberto Díaz-Morales, Ángel Navia-Vázquez
Efficient parallel implementation of kernel methods. Neurocomputing 191 (2016)
Roberto Díaz-Morales, Ángel Navia-Vázquez
Improving the efficiency of IRWLS SVMs using parallel Cholesky factorization. Pattern Recognit. Lett. 84 (2016)
Roberto Díaz-Morales, Ángel Navia-Vázquez
Optimization of AMS using Weighted AUC optimized models. HEPML@NIPS (2014)
Carlos Guerrero-Mosquera, Ángel Navia-Vázquez
Automatic removal of ocular artefacts using adaptive filtering and independent component analysis for electroencephalogram data. IET Signal Process. 6 (2) (2012)
Ángel Navia-Vázquez, Jerónimo Arenas-García
Combination of Recursive Least p -Norm Algorithms for Robust Adaptive Filtering in Alpha-Stable Noise. IEEE Trans. Signal Process. 60 (3) (2012)
Ángel Navia-Vázquez, Roberto Díaz-Morales
Adaptive sigmoidal plant identification using reduced sensitivity recursive least squares. Signal Process. 91 (4) (2011)
Carlos Guerrero-Mosquera, Michel Verleysen, Ángel Navia-Vázquez
Dimensionality reduction for EEG classification using Mutual Information and SVM. MLSP (2011)
Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Miguel Lázaro-Gredilla, Ángel Navia-Vázquez
Adaptive One-Class Support Vector Machine. IEEE Trans. Signal Process. 59 (6) (2011)
Roberto Díaz-Morales, Harold Y. Molina-Bulla, Ángel Navia-Vázquez
Parallel Semiparametric Support Vector Machines. IJCNN (2011)
Ángel Navia-Vázquez, Roberto Díaz-Morales
Fast error estimation for efficient support vector machine growing. Neurocomputing 73 (4-6) (2010)
Carlos Guerrero-Mosquera, Armando Malanda-Trigueros, Jorge Iriarte Franco, Ángel Navia-Vázquez
New feature extraction approach for epileptic EEG signal detection using time-frequency distributions. Medical Biol. Eng. Comput. 48 (4) (2010)
Carlos Guerrero-Mosquera, Ángel Navia-Vázquez
Automatic removal of ocular artifacts from EEG data using adaptive filtering and Independent Component Analysis. EUSIPCO (2009)
Ángel Navia-Vázquez
Compact multi-class support vector machine. Neurocomputing 71 (1-3) (2007)
Ángel Navia-Vázquez
Support vector perceptrons. Neurocomputing 70 (4-6) (2007)
Ángel Navia-Vázquez, Emilio Parrado-Hernández
Support vector machine interpretation. Neurocomputing 69 (13-15) (2006)
Ángel Navia-Vázquez, D. Gutiérrez-González, Emilio Parrado-Hernández, J. J. Navarro-Abellan
Distributed support vector machines. IEEE Trans. Neural Networks 17 (4) (2006)
Jerónimo Arenas-García, Manel Martínez-Ramón, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
Plant identification via adaptive combination of transversal filters. Signal Process. 86 (9) (2006)
Manel Martínez-Ramón, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Jordi Muñoz-Marí, Ángel Navia-Vázquez, Emilio Soria-Olivas, Aníbal R. Figueiras-Vidal
Support Vector Machines for Nonlinear Kernel ARMA System Identification. IEEE Trans. Neural Networks 17 (6) (2006)
José Luis Rojo-Álvarez, Gustavo Camps-Valls, Manel Martínez-Ramón, Emilio Soria-Olivas, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
Support vector machines framework for linear signal processing. Signal Process. 85 (12) (2005)
D. Gutiérrez-González, Emilio Parrado-Hernández, Ángel Navia-Vázquez
Multi-kernel Growing Support Vector Regressor. IWANN (2005)
Ángel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
Advantages of Unbiased Support Vector Classifiers for Data Mining Applications. J. VLSI Signal Process. 37 (2-3) (2004)
Manel Martínez-Ramón, Antonio Artés-Rodríguez, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
Adaptively combined LMS and logistic equalizers. IEEE Signal Process. Lett. 11 (10) (2004)
Emilio Parrado-Hernández, I. Mora-Jiménez, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Ángel Navia-Vázquez
Growing support vector classifiers with controlled complexity. Pattern Recognit. 36 (7) (2003)
Emilio Parrado-Hernández, Jerónimo Arenas-García, I. Mora-Jiménez, Ángel Navia-Vázquez
On problem-oriented kernel refining. Neurocomputing 55 (1-2) (2003)
Francisco J. Valverde-Albacete, R. Pedraza-Jiménez, Jesús Cid-Sueiro, Paloma Díaz-Pérez, Ángel Navia-Vázquez, Harold Y. Molina-Bulla
InterMediActor: an Environment for Instructional Content Design Based on Competences. SAC (2003)
Fernando Pérez-Cruz, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
Empirical risk minimization for support vector classifiers. IEEE Trans. Neural Networks 14 (2) (2003)
Francisco J. Valverde-Albacete, R. Pedraza-Jiménez, Harold Y. Molina-Bulla, Jesús Cid-Sueiro, Paloma Díaz-Pérez, Ángel Navia-Vázquez
InterMediActor: an Environment for Instructional Content Design Based on Competences. J. Educ. Technol. Soc. 6 (4) (2003)
I. Mora-Jiménez, Abdelouahid Lyhyaoui, Jerónimo Arenas-García, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
A Trainable Classifier via k Nearest Neighbors. HIS (2002)
Manel Martínez-Ramón, Jerónimo Arenas-García, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
An adaptive combination of adaptive filters for plant identification. DSP (2002)
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
I-Gaia: an information processing layer for the DIET platform. AAMAS (2002)
Ángel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
Weighted least squares training of support vector classifiers leading to compact and adaptive schemes. IEEE Trans. Neural Networks 12 (5) (2001)
Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez
SVC-based equalizer for burst TDMA transmissions. Signal Process. 81 (8) (2001)
Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez
Support vector classifier with hyperbolic tangent penalty function. ICASSP (2000)
I. Mora-Jiménez, Ángel Navia-Vázquez
A New Spread Spectrum Watermarking Method with Self-Synchronization Capabilities. ICIP (2000)
Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez
An IRWLS procedure for SVR. EUSIPCO (2000)
Fernando Pérez-Cruz, Pedro Luis Alarcón-Diana, Ángel Navia-Vázquez, Antonio Artés-Rodríguez
Fast Training of Support Vector Classifiers. NIPS (2000)
Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
Efficient Block Training of Multilayer Perceptrons. Neural Comput. 12 (6) (2000)
Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
Total least squares for block training of neural networks. Neurocomputing 25 (1-3) (1999)