2007 |
18 | EE | José Antonio Gómez-Ruiz,
José Muñoz-Pérez,
M. Angeles García-Bernal,
Ezequiel López-Rubio:
Spicules-based competitive neural network.
ESANN 2007: 525-530 |
2004 |
17 | EE | José Antonio Gómez-Ruiz,
José M. Jerez-Aragonés,
José Muñoz-Pérez,
Emilio Alba-Conejo:
A Neural Network Based Model for Prognosis of Early Breast Cancer.
Appl. Intell. 20(3): 231-238 (2004) |
16 | EE | Ezequiel López-Rubio,
Juan Miguel Ortiz-de-Lazcano-Lobato,
José Muñoz-Pérez,
José Antonio Gómez-Ruiz:
Principal Components Analysis Competitive Learning.
Neural Computation 16(11): 2459-2481 (2004) |
15 | EE | Ezequiel López-Rubio,
José Muñoz-Pérez,
José Antonio Gómez-Ruiz:
A principal components analysis self-organizing map.
Neural Networks 17(2): 261-270 (2004) |
2003 |
14 | EE | Ezequiel López-Rubio,
José Muñoz-Pérez,
José Antonio Gómez-Ruiz:
Principal Components Analysis Competitive Learning.
IWANN (1) 2003: 318-325 |
13 | EE | M. Angeles García-Bernal,
José Muñoz-Pérez,
José Antonio Gómez-Ruiz,
I. Ladrón de Guevara-López:
A Competitive Neural Network Based on Dipoles.
IWANN (1) 2003: 398-405 |
12 | EE | José Muñoz-Pérez,
M. Angeles García-Bernal,
I. Ladrón de Guevara-López,
José Antonio Gómez-Ruiz:
BICONN: A Binary Competitive Neural Network.
IWANN (1) 2003: 430-437 |
11 | | José M. Jerez-Aragonés,
José Antonio Gómez-Ruiz,
Gonzalo Ramos-Jiménez,
José Muñoz-Pérez,
Emilio Alba-Conejo:
A combined neural network and decision trees model for prognosis of breast cancer relapse.
Artificial Intelligence in Medicine 27(1): 45-63 (2003) |
10 | EE | Ezequiel López-Rubio,
José Muñoz-Pérez,
José Antonio Gómez-Ruiz,
Enrique Domínguez Merino:
New learning rules for the ASSOM network.
Neural Computing and Applications 12(2): 109-118 (2003) |
2002 |
9 | EE | Ezequiel López-Rubio,
José Muñoz-Pérez,
José Antonio Gómez-Ruiz:
The Principal Components Analysis Self-Organizing Map.
ICANN 2002: 865-870 |
8 | EE | José Antonio Gómez-Ruiz,
José Muñoz-Pérez,
M. Angeles García-Bernal,
Ezequiel López-Rubio:
Detección de esqueletos de caracteres mediante una red neuronal competitiva basada en segmentos.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 17: 7-22 (2002) |
7 | | José Muñoz-Pérez,
José Antonio Gómez-Ruiz,
Ezequiel López-Rubio,
M. Angeles García-Bernal:
Expansive and Competitive Learning for Vector Quantization.
Neural Processing Letters 15(3): 261-273 (2002) |
6 | | Ezequiel López-Rubio,
José Muñoz-Pérez,
José Antonio Gómez-Ruiz:
Self Organizing Dynamic Graphs.
Neural Processing Letters 16(2): 93-109 (2002) |
2001 |
5 | EE | José Antonio Gómez-Ruiz,
José Muñoz-Pérez,
Ezequiel López-Rubio,
M. Angeles García-Bernal:
Expansive and Competitive Neural Networks.
IWANN (1) 2001: 355-362 |
4 | EE | Ezequiel López-Rubio,
José Muñoz-Pérez,
José Antonio Gómez-Ruiz:
Dynamic Topology Networks for Colour Image Compression.
IWANN (2) 2001: 168-175 |
3 | | Ezequiel López-Rubio,
José Muñoz-Pérez,
José Antonio Gómez-Ruiz:
Invariant pattern identification by self-organising networks.
Pattern Recognition Letters 22(9): 983-990 (2001) |
2000 |
2 | EE | Ezequiel López-Rubio,
José Muñoz-Pérez,
José Antonio Gómez-Ruiz:
A Robust Two-Stage System for Image Segmentation.
ICPR 2000: 1606-1609 |
1 | EE | José Antonio Gómez-Ruiz,
José M. Jerez-Aragonés,
José Muñoz-Pérez,
Emilio Alba-Conejo:
Un Modelo para la Prediccion de Recidiva de Pacientes Operados de Cancer de Mama (CMO) Basado en Redes Neuronales.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 11: 39-45 (2000) |