2009 |
19 | EE | Alberto Olivares,
Javier M. Moguerza:
Improving directions of negative curvature in an efficient manner.
Annals OR 166(1): 183-201 (2009) |
2008 |
18 | EE | Alberto Olivares,
Javier M. Moguerza,
Francisco J. Prieto:
Nonconvex optimization using negative curvature within a modified linesearch.
European Journal of Operational Research 189(3): 706-722 (2008) |
2007 |
17 | EE | Javier M. Moguerza,
Alberto Muñoz,
Stelios Psarakis:
Monitoring Nonlinear Profiles Using Support Vector Machines.
CIARP 2007: 574-583 |
16 | EE | Javier M. Moguerza,
Alberto Olivares,
Francisco J. Prieto:
A note on the use of vector barrier parameters for interior-point methods.
European Journal of Operational Research 181(2): 571-585 (2007) |
2006 |
15 | EE | Javier M. Moguerza,
Alberto Muñoz,
Isaac Martín de Diego:
Fusion of Gaussian Kernels Within Support Vector Classification.
CIARP 2006: 945-953 |
14 | EE | Alberto Muñoz,
Isaac Martín de Diego,
Javier M. Moguerza:
Alternatives to Parameter Selection for Kernel Methods.
ICANN (1) 2006: 216-225 |
13 | EE | Isaac Martín de Diego,
Javier M. Moguerza,
Alberto Muñoz:
On the Fusion of Polynomial Kernels for Support Vector Classifiers.
IDEAL 2006: 330-337 |
12 | EE | Alberto Muñoz,
Javier M. Moguerza:
Estimation of High-Density Regions Using One-Class Neighbor Machines.
IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 476-480 (2006) |
2005 |
11 | EE | Alberto Muñoz,
Javier M. Moguerza:
A Naive Solution to the One-Class Problem and Its Extension to Kernel Methods.
CIARP 2005: 193-204 |
10 | EE | Alberto Muñoz,
Javier M. Moguerza:
Building Smooth Neighbourhood Kernels via Functional Data Analysis.
ICANN (2) 2005: 631-636 |
2004 |
9 | EE | Alberto Muñoz,
Javier M. Moguerza:
One-Class Support Vector Machines and Density Estimation: The Precise Relation.
CIARP 2004: 216-223 |
8 | EE | Isaac Martín de Diego,
Javier M. Moguerza,
Alberto Muñoz:
Combining Kernel Information for Support Vector Classification.
Multiple Classifier Systems 2004: 102-111 |
7 | EE | Javier M. Moguerza,
Alberto Muñoz,
Isaac Martín de Diego:
Improving Support Vector Classification via the Combination of Multiple Sources of Information.
SSPR/SPR 2004: 592-600 |
6 | EE | Javier M. Moguerza,
Alberto Muñoz:
Solving the One-Class Problem Using Neighbourhood Measures.
SSPR/SPR 2004: 680-688 |
2003 |
5 | EE | Alberto Muñoz,
Isaac Martín de Diego,
Javier M. Moguerza:
Support Vector Machine Classifiers for Asymmetric Proximities.
ICANN 2003: 217-224 |
4 | EE | Alberto Muñoz,
Javier M. Moguerza:
Combining Support Vector Machines and ARTMAP Architectures for Natural Classification.
KES 2003: 16-21 |
3 | EE | Javier M. Moguerza,
Francisco J. Prieto:
An augmented Lagrangian interior-point method using directions of negative curvature.
Math. Program. 95(3): 573-616 (2003) |
2 | EE | Javier M. Moguerza,
Francisco J. Prieto:
Combining search directions using gradient flows.
Math. Program. 96(3): 529-559 (2003) |
2002 |
1 | EE | Javier M. Moguerza,
Alberto Muñoz,
Manuel Martín-Merino:
Detecting the Number of Clusters Using a Support Vector Machine Approach.
ICANN 2002: 763-768 |