2007 |
16 | EE | Evelio J. González,
Alberto F. Hamilton,
Lorenzo Moreno,
Juan A. Méndez,
G. N. Marichal,
Jose F. Sigut,
Marta Sigut,
Jonatán Felipe:
Intelligent Agents and Apache Cocoon for a CV Generation System.
AICCSA 2007: 9-15 |
15 | EE | Milan Zorman,
Peter Kokol,
Mitja Lenic,
José Luis Sánchez de la Rosa,
Jose F. Sigut,
Silvia Alayón:
Symbol-Based Machine Learning Approach for Supervised Segmentation of Follicular Lymphoma Images.
CBMS 2007: 115-120 |
14 | EE | Jose F. Sigut,
José D. Piñeiro,
E. González,
J. Torres:
An expert system for supervised classifier design: Application to Alzheimer diagnosis.
Expert Syst. Appl. 32(3): 927-938 (2007) |
2006 |
13 | EE | Petra Povalej,
Mateja Verlic,
Peter Kokol,
José L. Sánchez,
Jose F. Sigut:
Identifying Lymphoma in Microscopy Images with Classificational Cellular Automata.
CBMS 2006: 309-314 |
12 | EE | Jose F. Sigut,
José D. Piñeiro,
J. I. Estévez,
P. Toledo:
A neural network approach to normality testing.
Intell. Data Anal. 10(6): 509-519 (2006) |
11 | EE | Silvia Alayón,
J. I. Estévez,
Jose F. Sigut,
José L. Sánchez,
P. Toledo:
An evolutionary Michigan recurrent fuzzy system for nuclei classification in cytological images using nuclear chromatin distribution.
Journal of Biomedical Informatics: 573-588 (2006) |
2005 |
10 | EE | Jose F. Sigut,
José D. Piñeiro,
Lorenzo Moreno,
J. I. Estévez,
R. M. Aguilar,
Roberto L. Marichal:
A large deviation approach to normality testing.
Computational Statistics & Data Analysis 49(3): 741-756 (2005) |
2002 |
9 | EE | J. I. Estévez,
Silvia Alayón,
Lorenzo Moreno,
R. M. Aguilar,
Jose F. Sigut:
Cytological Breast Fine Needle Aspirate Images Analysis with a Genetic Fuzzy Finite State Machine.
CBMS 2002: 21- |
8 | EE | Lorenzo Moreno,
C. S. González,
Vanessa Muñoz,
J. I. Estévez,
R. M. Aguilar,
José L. Sánchez,
Jose F. Sigut,
José D. Piñeiro:
Integrating Multimedia Technology, Knowledge Based System and Speech Processing for the Diagnostic and Treatment of Developmental Dyslexia.
Intelligent Tutoring Systems 2002: 168-177 |
2001 |
7 | EE | José D. Piñeiro,
Roberto L. Marichal,
Lorenzo Moreno,
Jose F. Sigut,
Evelio J. González:
Study of Chaos in a Simple Discrete Recurrence Neural Network.
IWANN (1) 2001: 579-585 |
6 | EE | Evelio J. González,
Alberto F. Hamilton,
Lorenzo Moreno,
Jose F. Sigut,
Roberto L. Marichal:
Evenet 2000: Designing and Training Arbitrary Neural Networks in Java.
IWANN (2) 2001: 104-110 |
5 | | Lorenzo Moreno,
J. I. Estévez,
R. M. Aguilar,
Jose F. Sigut,
C. S. González:
Exploiting the advantages of symbolically interpretable continuous biomedical parameters with a fuzzyfied symbolic model.
Artificial Intelligence in Medicine 21(1-3): 253-262 (2001) |
4 | EE | Lorenzo Moreno,
R. M. Aguilar,
José D. Piñeiro,
J. I. Estévez,
Jose F. Sigut,
C. S. González:
Using KADS methodology in a simulation assisted knowledge based system: application to hospital management.
Expert Syst. Appl. 20(3): 235-249 (2001) |
2000 |
3 | | Lorenzo Moreno,
J. I. Estévez,
R. M. Aguilar,
José L. Sánchez,
Jose F. Sigut,
José D. Piñeiro,
Roberto L. Marichal:
Automatic analysis of signals with symbolic content.
Artificial Intelligence in Medicine 18(3): 245 (2000) |
1999 |
2 | EE | Lorenzo Moreno,
R. M. Aguilar,
C. A. Martín,
José D. Piñeiro,
J. I. Estévez,
Jose F. Sigut,
José L. Sánchez,
V. I. Jiménez:
Patient-centered simulation tool for aiding in hospital management.
Simul. Pr. Theory 7(4): 373-393 (1999) |
1998 |
1 | | José D. Piñeiro,
Roberto L. Marichal,
Lorenzo Moreno,
Jose F. Sigut,
J. I. Estévez,
R. M. Aguilar,
José L. Sánchez,
Juan J. Merino:
Evoked Potential Feature Detection with Recurrent Dynamic Neural Networks.
NC 1998: 533-536 |