| 2007 | 
| 20 | EE | Angel Navia-Vázquez:
Support vector perceptrons.
Neurocomputing 70(4-6): 1089-1095 (2007) | 
| 19 | EE | Angel Navia-Vázquez:
Compact multi-class support vector machine.
Neurocomputing 71(1-3): 400-405 (2007) | 
| 2006 | 
| 18 | EE | Angel Navia-Vázquez,
D. Gutiérrez-González,
E. Parrado-Hernández,
J. J. Navarro-Abellan:
Distributed support vector machines.
IEEE Transactions on Neural Networks 17(4): 1091-1097 (2006) | 
| 17 | EE | Manel Martínez-Ramón,
José Luis Rojo-Álvarez,
Gustavo Camps-Valls,
Jordi Muñoz-Marí,
Angel Navia-Vázquez,
Emilio Soria-Olivas,
Aníbal R. Figueiras-Vidal:
Support Vector Machines for Nonlinear Kernel ARMA System Identification.
IEEE Transactions on Neural Networks 17(6): 1617-1622 (2006) | 
| 16 | EE | Angel Navia-Vázquez,
E. Parrado-Hernández:
Support vector machine interpretation.
Neurocomputing 69(13-15): 1754-1759 (2006) | 
| 15 | EE | Jerónimo Arenas-García,
Manel Martínez-Ramón,
Angel Navia-Vázquez,
Aníbal R. Figueiras-Vidal:
Plant identification via adaptive combination of transversal filters.
Signal Processing 86(9): 2430-2438 (2006) | 
| 2005 | 
| 14 | EE | D. Gutiérrez-González,
E. Parrado-Hernández,
Angel Navia-Vázquez:
Multi-kernel Growing Support Vector Regressor.
IWANN 2005: 357-365 | 
| 13 | EE | José Luis Rojo-Álvarez,
Gustavo Camps-Valls,
Manel Martínez-Ramón,
Emilio Soria-Olivas,
Angel Navia-Vázquez,
Aníbal R. Figueiras-Vidal:
Support vector machines framework for linear signal processing.
Signal Processing 85(12): 2316-2326 (2005) | 
| 2004 | 
| 12 | EE | Angel Navia-Vázquez,
Fernando Pérez-Cruz,
Antonio Artés-Rodríguez,
Aníbal R. Figueiras-Vidal:
Advantages of Unbiased Support Vector Classifiers for Data Mining Applications.
VLSI Signal Processing 37(2-3): 223-235 (2004) | 
| 2003 | 
| 11 |   | Francisco J. Valverde-Albacete,
R. Pedraza-Jiménez,
Jesús Cid-Sueiro,
P. Díaz-Pérez,
Angel Navia-Vázquez,
H. Y. Molina-Bulla:
InterMediActor: an Environment for Instructional Content Design Based on Competences.
SAC 2003: 575-579 | 
| 10 | EE | Francisco J. Valverde-Albacete,
R. Pedraza-Jiménez,
H. Y. Molina-Bulla,
Jesús Cid-Sueiro,
P. Díaz-Pérez,
Angel Navia-Vázquez:
InterMediActor: an Environment for Instructional Content Design Based on Competences.
Educational Technology & Society 6(4): 30-47 (2003) | 
| 9 | EE | E. Parrado-Hernández,
Jerónimo Arenas-García,
I. Mora-Jiménez,
Angel Navia-Vázquez:
On problem-oriented kernel refining.
Neurocomputing 55(1-2): 135-150 (2003) | 
| 8 | EE | E. Parrado-Hernández,
I. Mora-Jiménez,
Jerónimo Arenas-García,
Aníbal R. Figueiras-Vidal,
Angel Navia-Vázquez:
Growing support vector classifiers with controlled complexity.
Pattern Recognition 36(7): 1479-1488 (2003) | 
| 2002 | 
| 7 | EE | Ascensión Gallardo-Antolín,
Angel Navia-Vázquez,
H. 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 | 
| 6 |   | I. Mora-Jiménez,
Abdelouahid Lyhyaoui,
Jerónimo Arenas-García,
Angel Navia-Vázquez,
Aníbal R. Figueiras-Vidal:
A Trainable Classifier via k Nearest Neighbors.
HIS 2002: 365-373 | 
| 2001 | 
| 5 | EE | Fernando Pérez-Cruz,
Angel Navia-Vázquez,
Pedro Luis Alarcón-Diana,
Antonio Artés-Rodríguez:
SVC-based equalizer for burst TDMA transmissions.
Signal Processing 81(8): 1681-1693 (2001) | 
| 2000 | 
| 4 |   | I. Mora-Jiménez,
Angel Navia-Vázquez:
A New Spread Spectrum Watermarking Method with Self-Synchronization Capabilities.
ICIP 2000 | 
| 3 |   | Fernando Pérez-Cruz,
Pedro Luis Alarcón-Diana,
Angel Navia-Vázquez,
Antonio Artés-Rodríguez:
Fast Training of Support Vector Classifiers.
NIPS 2000: 734-740 | 
| 2 |   | Angel Navia-Vázquez,
Aníbal R. Figueiras-Vidal:
Efficient Block Training of Multilayer Perceptrons.
Neural Computation 12(6): 1429-1447 (2000) | 
| 1999 | 
| 1 | EE | Angel Navia-Vázquez,
Aníbal R. Figueiras-Vidal:
Total least squares for block training of neural networks.
Neurocomputing 25(1-3): 213-217 (1999) |