Publicaciones
Learning from imprecise examples with GA-P algorithms,
, Mathware & soft computing, ISSN 1134-5632, Vol. 5, Nº. 2-3, 1998, pags. 305-319, 01, Volume 5, (1998)
A fuzzy definition of mutual information with application to the design of genetic fuzzy classifiers,
, International Conference on Machine Intelligencea: ACIDCA-ICMI , 01, Tunez, (2005)
Managing imprecisely observed data in Genetic Fuzzy Models by means of a fuzzy-valued fitness function,
, Congreso español de metaheurísticas, algoritmos evolutivos y bioinspirados., 01, Granada (España), (2005)
A Minimum Risk Wrapper Algorithm for Genetically Selecting Imprecisely Observed Features, Applied to the Early Diagnosis of Dyslexia,
, Lecture Notes in Computer Science - LNCS, 09, Volume 5271, p.608-615, (2008)
Defuzzification of Fuzzy p-Values,
, Soft Methods for Handling Variability and Imprecision, Berlin, Heidelberg, p.126–132, (2008)
A Baseline Learning Genetic Fuzzy Classifier Based on Low Quality Data.,
, 01, p.803-808, (2009)
A Minimum-Risk Genetic Fuzzy Classifier Based on Low Quality Data,
, Hybrid Artificial Intelligence Systems, Berlin, Heidelberg, p.654–661, (2009)
Extending a simple genetic cooperative-competitive learning fuzzy classifier to low quality datasets,
, Evolutionary Intelligence, 11, Volume 2, p.73-84, (2009)
GFS-Based Analysis of Vague Databases in High Performance Athletics,
, 09, p.602-609, (2009)
Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms,
, Soft Comput., 03, Volume 13, p.467-479, (2009)
Future Performance Modeling in Athletism with Low Quality Data-based Genetic Fuzzy Systems,
, Multiple-Valued Logic and Soft Computing, 01, Volume 17, p.207-228, (2011)
Managing stochastic algorithms cross-validation variability using an interval valued multiple comparison procedure,
, International Conference on Intelligent Systems Design and Applications, 11, p.1391-1396, (2011)
Obtaining fuzzy rules from interval-censored data with genetic algorithms and a random sets-based semantic of the linguistic labels,
, Soft Comput., 10, Volume 15, p.1945-1957, (2011)
Singular spectral analysis of ill-known signals and its application to predictive maintenance of windmills with SCADA records,
, Soft Computing, 05, Volume 16, (2011)
COMBINING ADABOOST WITH PREPROCESSING ALGORITHMS FOR EXTRACTING FUZZY RULES FROM LOW QUALITY DATA IN POSSIBLY IMBALANCED PROBLEMS,
, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Volume 20, Number supp02, p.51-71, (2012)
A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotorblade leading edge materials,
, Mechanical Systems and Signal Processing, 06, Volume 37, p.76-91, (2013)
Interval-valued Blind Source Separation Applied to AI-based Prognostic Fault Detection of Aircraft Engines,
, Journal of Multiple-Valued Logic and Soft Computing, 01, Volume 22, p.151-166, (2014)
Selecting the Most Informative Inputs in Modelling Problems with Vague Data Applied to the Search of Informative Code Metrics for Continuous Assessment in Computer Science Online Courses,
, Rough Sets and Current Trends in Computing, Cham, p.299–308, (2014)
Generalized stochastic orderings applied to the study of perfomance of machine learning algorithm,
, The 16th World Congress of the International Fuzzy Systems Association (IFSA) and the 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), 06, Gijón, Asturias(Spain), (2015)
Using fuzzy preference orderings in theta-dominance with application to health monitoring of Li-ion batteries,
, Journal of Multiple-Valued Logic and Soft Computing, (2017)