Visits since 05/11/2005:
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In this section are available the publications of the members of KEEL supported by the three sequential projects TIC2002-04036-C05, TIN2005-08386-C05 and TIN2008-06681-C06
Ph. Degree (26)
Journal Contributions (234)
Contributions to Books Chapters (45)
Conference Contributions (441)
Books (4)
All Publications (750)
By Type:
Any
Ph. Degrees
Contributions to Book Chapters
Journal Contributions
Conference Contributions
Technical Reports
Books
By Author:
Any
J.J. Aguilera
R. Alcalá
J. Alcala-Fdez
J. Bacardit
F.J. Berlanga
E. Bernadó-Mansilla
L. Bull
J. Camps
J.R. Cano
J. Casillas
E.A. de la Cal
M.J. del Jesus
J. Derrac
J.C. Fernández
A. Fernández
S. García
J.M. Garrell
P.G. Espejo
P. González
P.A. Gutiérrez
F. Herrera
C. Hervás-Martínez
T.K. Ho
L. Junco
V. López
J. Luengo
N. Macia
F.A. Márquez
F.J. Martínez-Estudillo
A.C. Martínez-Estudillo
F.J. Martínez-López
A. Orriols-Puig
J. Otero
A. Otero
M. Pechenizkiy
A. Peregrin
M.D. Pérez-Godoy
M.E. Pérez
J. Rios
V.M. Rivas
A.J. Rivera
M.A. Rodríguez
C. Romero
J.R. Romero
J.A. Sáez
L. Sánchez
M.R. Suarez
F. Teixidó-Navarro
I. Triguero
S. Ventura
P. Villar
J.R. Villar
A. Zafra
By Area:
Any
Development of models of evolutionary neural network on radial basis functions and product unit
Development of models of evolutionary rule extraction: Michigan and Pittsburgh approaches; systems based on interval rules; systems based on fuzzy rules, extraction of descriptive rules of subgroup discovery and association rules
Development of models of genetic programming based on grammars for model extraction
Study of the balance between interpretability and accuracy; reduction and interpretability of the models
Development of evolutionary algorithms with good balance between diversity and convergence / efficiency and efficacy
Developments on the dimensionality reduction: instance selection and feature selection
Development of evolutionary learning models based on vague data
Development of evolutionary learning models for imbalanced class problems
Marketing problems
E-Learning
Chemical/agroalimentary areas
Mobile robotics
Analysis of the recent proposals on design of experiments and comparison of learning algorithms
Development of models of design of experiments based on resampling
Study on data complexity and characterization of datasets
Development of robust inferential methods associated with data distributions
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