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ORCIDÁngel Navia-Vázquez
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2020 – today
- 2022
[j29]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): 100:1-100:25 (2022)- [p2]Susanna Bonura, Davide Dalle Carbonare, Roberto Díaz-Morales, Ángel Navia-Vázquez, Mark Purcell, Stephanie Rossello:
Increasing Trust for Data Spaces with Federated Learning. Data Spaces 2022: 89-106 - [p1]Susanna Bonura, Davide Dalle Carbonare, Roberto Díaz-Morales, Marcos Fernández Díaz, Lucrezia Morabito, Luis Muñoz-González, Chiara Napione, Ángel Navia-Vázquez, Mark Purcell:
Privacy-Preserving Technologies for Trusted Data Spaces. Technologies and Applications for Big Data Value 2022: 111-134 - 2020
- [j28]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): 4664-4675 (2020)
2010 – 2019
- 2017
- [j27]Roberto Díaz-Morales, Ángel Navia-Vázquez:
LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs. Knowl. Based Syst. 136: 183-186 (2017) - [j26]Francisco Javier González-Serrano, Ángel Navia-Vázquez, Adrian Amor-Martin:
Training Support Vector Machines with privacy-protected data. Pattern Recognit. 72: 93-107 (2017) - 2016
- [j25]Roberto Díaz-Morales, Ángel Navia-Vázquez:
Efficient parallel implementation of kernel methods. Neurocomputing 191: 175-186 (2016) - [j24]Roberto Díaz-Morales, Ángel Navia-Vázquez:
Improving the efficiency of IRWLS SVMs using parallel Cholesky factorization. Pattern Recognit. Lett. 84: 91-98 (2016) - 2014
- [c13]Roberto Díaz-Morales, Ángel Navia-Vázquez:
Optimization of AMS using Weighted AUC optimized models. HEPML@NIPS 2014: 109-127 - 2012
- [j23]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): 99-106 (2012) - [j22]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): 1478-1482 (2012) - 2011
- [j21]Ángel Navia-Vázquez, Roberto Díaz-Morales:
Adaptive sigmoidal plant identification using reduced sensitivity recursive least squares. Signal Process. 91(4): 1066-1070 (2011) - [j20]Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Miguel Lázaro-Gredilla, Ángel Navia-Vázquez:
Adaptive One-Class Support Vector Machine. IEEE Trans. Signal Process. 59(6): 2975-2981 (2011) - [c12]Roberto Díaz-Morales, Harold Y. Molina-Bulla, Ángel Navia-Vázquez:
Parallel Semiparametric Support Vector Machines. IJCNN 2011: 475-481 - [c11]Carlos Guerrero-Mosquera, Michel Verleysen, Ángel Navia-Vázquez:
Dimensionality reduction for EEG classification using Mutual Information and SVM. MLSP 2011: 1-6 - 2010
- [j19]Ángel Navia-Vázquez, Roberto Díaz-Morales:
Fast error estimation for efficient support vector machine growing. Neurocomputing 73(4-6): 1018-1023 (2010) - [j18]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): 321-330 (2010)
2000 – 2009
- 2009
- [c10]Carlos Guerrero-Mosquera, Ángel Navia-Vázquez:
Automatic removal of ocular artifacts from EEG data using adaptive filtering and Independent Component Analysis. EUSIPCO 2009: 2317-2321 - 2007
- [j17]Ángel Navia-Vázquez:
Support vector perceptrons. Neurocomputing 70(4-6): 1089-1095 (2007) - [j16]Ángel Navia-Vázquez:
Compact multi-class support vector machine. Neurocomputing 71(1-3): 400-405 (2007) - 2006
- [j15]Ángel Navia-Vázquez, Emilio Parrado-Hernández:
Support vector machine interpretation. Neurocomputing 69(13-15): 1754-1759 (2006) - [j14]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): 2430-2438 (2006) - [j13]Ángel Navia-Vázquez, D. Gutiérrez-González, Emilio Parrado-Hernández, J. J. Navarro-Abellan:
Distributed support vector machines. IEEE Trans. Neural Networks 17(4): 1091-1097 (2006) - [j12]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): 1617-1622 (2006) - 2005
- [j11]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): 2316-2326 (2005) - [c9]D. Gutiérrez-González, Emilio Parrado-Hernández, Ángel Navia-Vázquez:
Multi-kernel Growing Support Vector Regressor. IWANN 2005: 357-365 - 2004
- [j10]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): 777-779 (2004) - [j9]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): 223-235 (2004) - 2003
- [j8]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): 30-47 (2003) - [j7]Emilio Parrado-Hernández, Jerónimo Arenas-García, I. Mora-Jiménez, Ángel Navia-Vázquez:
On problem-oriented kernel refining. Neurocomputing 55(1-2): 135-150 (2003) - [j6]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): 1479-1488 (2003) - [j5]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): 296-303 (2003) - [c8]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: 575-579 - 2002
- [c7]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: 1272-1279 - [c6]I. Mora-Jiménez, Abdelouahid Lyhyaoui, Jerónimo Arenas-García, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal:
A Trainable Classifier via k Nearest Neighbors. HIS 2002: 365-373 - [c5]Manel Martínez-Ramón, Jerónimo Arenas-García, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal:
An adaptive combination of adaptive filters for plant identification. DSP 2002: 1195-1198 - 2001
- [j4]Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez:
SVC-based equalizer for burst TDMA transmissions. Signal Process. 81(8): 1681-1693 (2001) - [j3]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): 1047-1059 (2001) - 2000
- [j2]Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal:
Efficient Block Training of Multilayer Perceptrons. Neural Comput. 12(6): 1429-1447 (2000) - [c4]Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez:
An IRWLS procedure for SVR. EUSIPCO 2000: 1-4 - [c3]Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez:
Support vector classifier with hyperbolic tangent penalty function. ICASSP 2000: 3458-3461 - [c2]I. Mora-Jiménez, Ángel Navia-Vázquez:
A New Spread Spectrum Watermarking Method with Self-Synchronization Capabilities. ICIP 2000: 415-418 - [c1]Fernando Pérez-Cruz, Pedro Luis Alarcón-Diana, Ángel Navia-Vázquez, Antonio Artés-Rodríguez:
Fast Training of Support Vector Classifiers. NIPS 2000: 734-740
1990 – 1999
- 1999
- [j1]Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal:
Total least squares for block training of neural networks. Neurocomputing 25(1-3): 213-217 (1999)
Coauthor Index
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