2008 |
18 | EE | José-Emilio Vila-Forcén,
Antonio Artés-Rodríguez,
Javier Garcia-Frias:
Compressive sensing detection of stochastic signals.
CISS 2008: 956-960 |
17 | EE | Ricardo Santiago-Mozos,
Ramón Fernández-Lorenzana,
Fernando Pérez-Cruz,
Antonio Artés-Rodríguez:
On the uncertainty in sequential hypothesis testing.
ISBI 2008: 1223-1226 |
2007 |
16 | EE | Marcelino Lázaro,
José M. Leiva-Murillo,
Antonio Artés-Rodríguez,
Aníbal R. Figueiras-Vidal:
A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class.
IJCNN 2007: 1464-1469 |
15 | EE | José M. Leiva-Murillo,
Antonio Artés-Rodríguez:
Maximization of Mutual Information for Supervised Linear Feature Extraction.
IEEE Transactions on Neural Networks 18(5): 1433-1441 (2007) |
14 | EE | Gustavo Camps-Valls,
Emilio Soria-Olivas,
Juan José Pérez-Ruixo,
Fernando Pérez-Cruz,
Antonio Artés-Rodríguez,
N. Víctor Jiménez:
Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 37(3): 359-372 (2007) |
2005 |
13 | EE | Fernando Pérez-Cruz,
Carlos Bousoño-Calzón,
Antonio Artés-Rodríguez:
Convergence of the IRWLS Procedure to the Support Vector Machine Solution.
Neural Computation 17(1): 7-18 (2005) |
12 | EE | Marcelino Lázaro,
Ignacio Santamaría,
Fernando Pérez-Cruz,
Antonio Artés-Rodríguez:
Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives.
Neurocomputing 69(1-3): 42-61 (2005) |
2004 |
11 | EE | José M. Leiva-Murillo,
Antonio Artés-Rodríguez:
A Gaussian Mixture Based Maximization of Mutual Information for Supervised Feature Extraction.
ICA 2004: 271-278 |
10 | 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 |
9 | EE | Ricardo Santiago-Mozos,
José M. Leiva-Murillo,
Fernando Pérez-Cruz,
Antonio Artés-Rodríguez:
Supervised-PCA and SVM Classifiers for Object Detection in Infrared Images.
AVSS 2003: 122- |
2002 |
8 | EE | José Luis Rojo-Álvarez,
Arcadio García-Alberola,
Manel Martínez-Ramón,
Mariano Valdés,
Aníbal R. Figueiras-Vidal,
Antonio Artés-Rodríguez:
Support Vector Robust Algorithms for Non-parametric Spectral Analysis.
ICANN 2002: 1100-1105 |
7 | EE | José Luis Rojo-Álvarez,
Manel Martínez-Ramón,
Aníbal R. Figueiras-Vidal,
Mario de Prado-Cumplido,
Antonio Artés-Rodríguez:
Support Vector Method for ARMA System Identification: A Robust Cost Interpretation.
ICANN 2002: 1106-1111 |
6 | EE | Fernando Pérez-Cruz,
Antonio Artés-Rodríguez:
Puncturing Multi-class Support Vector Machines.
ICANN 2002: 751-756 |
5 | EE | Fernando Pérez-Cruz,
Gustavo Camps-Valls,
Emilio Soria-Olivas,
Juan José Pérez-Ruixo,
Aníbal R. Figueiras-Vidal,
Antonio Artés-Rodríguez:
Multi-dimensional Function Approximation and Regression Estimation.
ICANN 2002: 757-762 |
2001 |
4 | 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 |
3 | | Fernando Pérez-Cruz,
Pedro Luis Alarcón-Diana,
Angel Navia-Vázquez,
Antonio Artés-Rodríguez:
Fast Training of Support Vector Classifiers.
NIPS 2000: 734-740 |
1998 |
2 | EE | Francisco J. González-Serrano,
Aníbal R. Figueiras-Vidal,
Antonio Artés-Rodríguez:
Generalizing CMAC architecture and training.
IEEE Transactions on Neural Networks 9(6): 1509-1514 (1998) |
1 | EE | Francisco J. González-Serrano,
Aníbal R. Figueiras-Vidal,
Antonio Artés-Rodríguez:
Fourier analysis of the generalized CMAC neural network.
Neural Networks 11(3): 391-396 (1998) |