Ángel Navia-Vázquez

发表

Compact multi-class support vector machine

Ángel Navia-Vázquez, Á. Navia-Vázquez, 2007, Neurocomputing.

Empirical risk minimization for support vector classifiers

Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal, 2003, IEEE Trans. Neural Networks.

Adaptive One-Class Support Vector Machine

Miguel Lázaro-Gredilla, Vanessa Gómez-Verdejo, Jerónimo Arenas-García, 2011, IEEE Transactions on Signal Processing.

Advantages of Unbiased Support Vector Classifiers for Data Mining Applications

Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal, 2004, J. VLSI Signal Process..

On problem-oriented kernel refining

I. Mora-Jiménez, Emilio Parrado-Hernández, Ángel Navia-Vázquez, 2003, Neurocomputing.

Adaptively combined LMS and logistic equalizers

Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal, Manel Martínez-Ramón, 2004, IEEE Signal Processing Letters.

Adaptive sigmoidal plant identification using reduced sensitivity recursive least squares

Roberto Díaz-Morales, Ángel Navia-Vázquez, 2011, Signal Process..

InterMediActor: an environment for instructional content design based on competences

Jesús Cid-Sueiro, Francisco J. Valverde-Albacete, Paloma Díaz, 2003, SAC '03.

LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs

Roberto Díaz-Morales, Ángel Navia-Vázquez, 2017, Knowl. Based Syst..

Combination of Recursive Least $p$-Norm Algorithms for Robust Adaptive Filtering in Alpha-Stable Noise

Jerónimo Arenas-García, Ángel Navia-Vázquez, Á. Navia-Vázquez, 2012, IEEE Transactions on Signal Processing.

Efficient Block Training of Multilayer Perceptrons

Aníbal R. Figueiras-Vidal, Ángel Navia-Vázquez, Á. Navia-Vázquez, 2000, Neural Computation.

A new spread spectrum watermarking method with self-synchronization capabilities

I. Mora-Jiménez, Ángel Navia-Vázquez, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Training Support Vector Machines with privacy-protected data

Francisco Javier González-Serrano, Ángel Navia-Vázquez, Adrian Amor-Martin, 2017, Pattern Recognit..

Growing support vector classifiers with controlled complexity

Aníbal R. Figueiras-Vidal, I. Mora-Jiménez, Emilio Parrado-Hernández, 2003, Pattern Recognit..

I-Gaia: an information processing layer for the DIET platform

Jesús Cid-Sueiro, Aníbal R. Figueiras-Vidal, Manolis Koubarakis, 2002, AAMAS '02.

Automatic removal of ocular artefacts using adaptive filtering and independent component analysis for electroencephalogram data

Ángel Navia-Vázquez, Carlos Guerrero-Mosquera, Á. Navia-Vázquez, 2012, IET Signal Process..

Total least squares for block training of neural networks

Aníbal R. Figueiras-Vidal, Ángel Navia-Vázquez, 1999, Neurocomputing.

Optimization of AMS using Weighted AUC optimized models

Roberto Díaz-Morales, Ángel Navia-Vázquez, 2014, HEPML@NIPS.

Weighted least squares training of support vector classifiers leading to compact and adaptive schemes

Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal, 2001, IEEE Trans. Neural Networks.

Multi-kernel Growing Support Vector Regressor

Emilio Parrado-Hernández, Ángel Navia-Vázquez, D. Gutiérrez-González, 2005, IWANN.

Support vector classifier with hyperbolic tangent penalty function

Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Ángel Navia-Vázquez, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

A Trainable Classifier via k Nearest Neighbors

Aníbal R. Figueiras-Vidal, I. Mora-Jiménez, Abdelouahid Lyhyaoui, 2002, HIS.

SVC-based equalizer for burst TDMA transmissions

Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Ángel Navia-Vázquez, 2001, Signal Process..

Fast Training of Support Vector Classifiers

Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Ángel Navia-Vázquez, 2000, NIPS.

Improving the efficiency of IRWLS SVMs using parallel Cholesky factorization

Roberto Díaz-Morales, Ángel Navia-Vázquez, 2016, Pattern Recognit. Lett..

Plant identification via adaptive combination of transversal filters

Aníbal R. Figueiras-Vidal, Jerónimo Arenas-García, Ángel Navia-Vázquez, 2006, Signal Process..

New feature extraction approach for epileptic EEG signal detection using time-frequency distributions

Carlos Guerrero-Mosquera, Armando Malanda-Trigueros, Ángel Navia-Vázquez, 2010, Medical & Biological Engineering & Computing.

Support vector machines framework for linear signal processing

José Luis Rojo-Álvarez, Aníbal R. Figueiras-Vidal, Gustavo Camps-Valls, 2005, Signal Process..

Support vector perceptrons

Ángel Navia-Vázquez, 2007, Neurocomputing.

Support Vector Machines for Nonlinear Kernel ARMA System Identification

José Luis Rojo-Álvarez, Aníbal R. Figueiras-Vidal, Gustavo Camps-Valls, 2006, IEEE Transactions on Neural Networks.

Fast error estimation for efficient support vector machine growing

Roberto Díaz-Morales, Ángel Navia-Vázquez, 2010, Neurocomputing.

Dimensionality reduction for EEG classification using Mutual Information and SVM

Michel Verleysen, Carlos Guerrero-Mosquera, Ángel Navia-Vázquez, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

An IRWLS procedure for SVR

Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Ángel Navia-Vázquez, 2000, 2000 10th European Signal Processing Conference.

Parallel Semiparametric Support Vector Machines

Roberto Díaz-Morales, Ángel Navia-Vázquez, Harold Y. Molina-Bulla, 2011, The 2011 International Joint Conference on Neural Networks.

Distributed support vector machines

Emilio Parrado-Hernández, Ángel Navia-Vázquez, D. Gutiérrez-González, 2006, IEEE Trans. Neural Networks.

Support vector machine interpretation

Emilio Parrado-Hernández, Ángel Navia-Vázquez, Á. Navia-Vázquez, 2006, Neurocomputing.

Efficient parallel implementation of kernel methods

Roberto Díaz-Morales, Ángel Navia-Vázquez, 2016, Neurocomputing.

Automatic removal of ocular artifacts from EEG data using adaptive filtering and Independent Component Analysis

Carlos Guerrero-Mosquera, Ángel Navia-Vázquez, Á. Navia-Vázquez, 2009, 2009 17th European Signal Processing Conference.