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Conference Paper
A Baseline Learning Genetic Fuzzy Classifier Based on Low Quality Data., Palacios, Ana, Sánchez Luciano, and Couso Inés , 01, p.803-808, (2009)
A fuzzy definition of mutual information with application to the design of genetic fuzzy classifiers, Sánchez, Luciano, Suárez María, and Couso Inés , International Conference on Machine Intelligencea: ACIDCA-ICMI , 01, Tunez, (2005)
A Minimum Risk Wrapper Algorithm for Genetically Selecting Imprecisely Observed Features, Applied to the Early Diagnosis of Dyslexia, Sánchez, Luciano, Palacios Ana, and Couso Inés , Lecture Notes in Computer Science - LNCS, 09, Volume 5271, p.608-615, (2008)
A Minimum-Risk Genetic Fuzzy Classifier Based on Low Quality Data, Palacios, Ana M., Sánchez Luciano, and Couso Inés , Hybrid Artificial Intelligence Systems, Berlin, Heidelberg, p.654–661, (2009)
Defuzzification of Fuzzy p-Values, Couso, Inés, and Sánchez Luciano , Soft Methods for Handling Variability and Imprecision, Berlin, Heidelberg, p.126–132, (2008)
Generalized stochastic orderings applied to the study of perfomance of machine learning algorithm, Couso, Inés, and Sánchez Luciano , 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)
GFS-Based Analysis of Vague Databases in High Performance Athletics, Palacios, Ana, Couso Inés, and Sánchez Luciano , 09, p.602-609, (2009)
Managing imprecisely observed data in Genetic Fuzzy Models by means of a fuzzy-valued fitness function, Sánchez, Luciano, and Couso Inés , Congreso español de metaheurísticas, algoritmos evolutivos y bioinspirados., 01, Granada (España), (2005)
Managing stochastic algorithms cross-validation variability using an interval valued multiple comparison procedure, Otero, José, Sánchez Luciano, Palacios Ana, and Couso Inés , International Conference on Intelligent Systems Design and Applications, 11, p.1391-1396, (2011)
Online SOC estimation of Li-FePO4 batteries through an observer of the system state with minimal nonspecificity, Sánchez, Luciano, Couso Inés, and Blanco Cecilio , 08, p.1-8, (2015)
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, Otero, José, Suárez Maria Del Rosari, Palacios Ana, Couso Inés, and Sánchez Luciano , Rough Sets and Current Trends in Computing, Cham, p.299–308, (2014)
Journal Article
A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotorblade leading edge materials, Sánchez, Luciano, Couso Inés, Palacios Ana, and Palacios José , Mechanical Systems and Signal Processing, 06, Volume 37, p.76-91, (2013)
COMBINING ADABOOST WITH PREPROCESSING ALGORITHMS FOR EXTRACTING FUZZY RULES FROM LOW QUALITY DATA IN POSSIBLY IMBALANCED PROBLEMS, Palacios, Ana, Sánchez Luciano, and Couso Inés , International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Volume 20, Number supp02, p.51-71, (2012)
Extending a simple genetic cooperative-competitive learning fuzzy classifier to low quality datasets, Palacios, Ana, Sánchez Luciano, and Couso Inés , Evolutionary Intelligence, 11, Volume 2, p.73-84, (2009)
Future Performance Modeling in Athletism with Low Quality Data-based Genetic Fuzzy Systems, Palacios, Ana, Sánchez Luciano, and Couso Inés , Multiple-Valued Logic and Soft Computing, 01, Volume 17, p.207-228, (2011)
Interval-valued Blind Source Separation Applied to AI-based Prognostic Fault Detection of Aircraft Engines, Martinez, Alvaro, Sánchez Luciano, and Couso Inés , Journal of Multiple-Valued Logic and Soft Computing, 01, Volume 22, p.151-166, (2014)
Learning from imprecise examples with GA-P algorithms, Sánchez, Luciano, and Couso Inés , Mathware & soft computing, ISSN 1134-5632, Vol. 5, Nº. 2-3, 1998, pags. 305-319, 01, Volume 5, (1998)
Obtaining fuzzy rules from interval-censored data with genetic algorithms and a random sets-based semantic of the linguistic labels, Sánchez, Luciano, and Couso Inés , Soft Comput., 10, Volume 15, p.1945-1957, (2011)
Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms, Sánchez, Luciano, Otero José, and Couso Inés , Soft Comput., 03, Volume 13, p.467-479, (2009)
Singular spectral analysis of ill-known signals and its application to predictive maintenance of windmills with SCADA records, Sánchez, Luciano, and Couso Inés , Soft Computing, 05, Volume 16, (2011)
Using fuzzy preference orderings in theta-dominance with application to health monitoring of Li-ion batteries, Echevarría, Yuviny, Couso Inés, Anseán David, Blanco Cecilio, and Sánchez Luciano , Journal of Multiple-Valued Logic and Soft Computing, (2017)