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) |