Ángel Navia-Vázquez

According to our database1, Ángel Navia-Vázquez authored at least 42 papers between 1999 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Budget Distributed Support Vector Machine for Non-ID Federated Learning Scenarios.
ACM Trans. Intell. Syst. Technol., 2022

Privacy-Preserving Technologies for Trusted Data Spaces.
Proceedings of the Technologies and Applications for Big Data Value, 2022

Distributed Nonlinear Semiparametric Support Vector Machine for Big Data Applications on Spark Frameworks.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Training Support Vector Machines with privacy-protected data.
Pattern Recognit., 2017

LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs.
Knowl. Based Syst., 2017

Improving the efficiency of IRWLS SVMs using parallel Cholesky factorization.
Pattern Recognit. Lett., 2016

Efficient parallel implementation of kernel methods.
Neurocomputing, 2016

Optimization of AMS using Weighted AUC optimized models.
Proceedings of the Workshop on High-energy Physics and Machine Learning, 2014

Combination of Recursive Least p -Norm Algorithms for Robust Adaptive Filtering in Alpha-Stable Noise.
IEEE Trans. Signal Process., 2012

Automatic removal of ocular artefacts using adaptive filtering and independent component analysis for electroencephalogram data.
IET Signal Process., 2012

Adaptive One-Class Support Vector Machine.
IEEE Trans. Signal Process., 2011

Adaptive sigmoidal plant identification using reduced sensitivity recursive least squares.
Signal Process., 2011

Dimensionality reduction for EEG classification using Mutual Information and SVM.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Parallel Semiparametric Support Vector Machines.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

New feature extraction approach for epileptic EEG signal detection using time-frequency distributions.
Medical Biol. Eng. Comput., 2010

Fast error estimation for efficient support vector machine growing.
Neurocomputing, 2010

Automatic removal of ocular artifacts from EEG data using adaptive filtering and Independent Component Analysis.
Proceedings of the 17th European Signal Processing Conference, 2009

Support vector perceptrons.
Neurocomputing, 2007

Compact multi-class support vector machine.
Neurocomputing, 2007

Distributed support vector machines.
IEEE Trans. Neural Networks, 2006

Support Vector Machines for Nonlinear Kernel ARMA System Identification.
IEEE Trans. Neural Networks, 2006

Plant identification via adaptive combination of transversal filters.
Signal Process., 2006

Support vector machine interpretation.
Neurocomputing, 2006

Support vector machines framework for linear signal processing.
Signal Process., 2005

Multi-kernel Growing Support Vector Regressor.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Advantages of Unbiased Support Vector Classifiers for Data Mining Applications.
J. VLSI Signal Process., 2004

Adaptively combined LMS and logistic equalizers.
IEEE Signal Process. Lett., 2004

Empirical risk minimization for support vector classifiers.
IEEE Trans. Neural Networks, 2003

Growing support vector classifiers with controlled complexity.
Pattern Recognit., 2003

On problem-oriented kernel refining.
Neurocomputing, 2003

InterMediActor: an Environment for Instructional Content Design Based on Competences.
J. Educ. Technol. Soc., 2003

An adaptive combination of adaptive filters for plant identification.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

A Trainable Classifier via k Nearest Neighbors.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

I-Gaia: an information processing layer for the DIET platform.
Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

Weighted least squares training of support vector classifiers leading to compact and adaptive schemes.
IEEE Trans. Neural Networks, 2001

SVC-based equalizer for burst TDMA transmissions.
Signal Process., 2001

Efficient Block Training of Multilayer Perceptrons.
Neural Comput., 2000

Fast Training of Support Vector Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

A New Spread Spectrum Watermarking Method with Self-Synchronization Capabilities.
Proceedings of the 2000 International Conference on Image Processing, 2000

Support vector classifier with hyperbolic tangent penalty function.
Proceedings of the IEEE International Conference on Acoustics, 2000

An IRWLS procedure for SVR.
Proceedings of the 10th European Signal Processing Conference, 2000

Total least squares for block training of neural networks.
Neurocomputing, 1999