Publicaciones
GA-P based Feature Selection and Classification combining different Methods of Texture Analysis,
, 09, p.209-219, (2000)
Introduction to the Experimental Design in the Data Mining Tool KEEL,
, 01, p.1-25, (2010)
Proyecto KEEL: Desarrollo de una herramienta para el análisis e implementación de algoritmos de extracción de conocimiento evolutivos,
, 01, p.413-424, (2004)
Tuning fuzzy partitions or assigning weights to fuzzy rules: which is better?,
, Accuracy Improvements in Linguistic Fuzzy Modeling, Berlin, Heidelberg, p.366–385, (2003)
Un estudio empírico preliminar sobre los tests estadísticos más habituales en el aprendizaje automático,
, Tendencias de la minería de datos en España, Number 403-412, Santander (España), (2004)
A Baseline Learning Genetic Fuzzy Classifier Based on Low Quality Data.,
, 01, p.803-808, (2009)
A coevolutionary genetic algorithm able to learn a FRBS and detect the less informative instances in low quality problems,
, Congreso Español sobre tecnologías y lógica fuzzy, 01, Huelva (España), (2010)
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)
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)
A Minimum-Risk Genetic Fuzzy Classifier Based on Low Quality Data,
, Hybrid Artificial Intelligence Systems, Berlin, Heidelberg, p.654–661, (2009)
Algoritmo GA-P Difuso para la Generación de Controladores en Edificios Inteligentes,
, Congreso español de metaheurísticas, algoritmos evolutivos y bioinspirados., 01, Córdoba (España), (2004)
Approximating The Discrete Space Equation From Chaotic Noisy Data,
, International Conference On Information Processing and Management Of Uncertainty In Knowledge-Based System, 01, (2000)
Aprendizaje jerárquico por refuerzo mediante programación genética dirigida por gramáticas,
, Congreso Español de algoritmos evolutivos y bioinspirados AEB-02, 01, Mérida (España), (2002)
Assessment of Multi-Objective Optimization Algorithms for Parametric Identification of a Li-Ion Battery Model,
, Hybrid Artificial Intelligent Systems, Cham, p.250–260, (2016)
Boosting of fuzzy models for high-dimensional imprecise datasets,
, Information Processing and Management of Uncertainty in Knowledge-Based Systems, 07, París (Francia), (2006)
Computing the spanish medium electrical line maintenance costs by means of evolution-based learning processes,
, Methodology and Tools in Knowledge-Based Systems, Berlin, Heidelberg, p.478–486, (1998)
Defuzzification of Fuzzy p-Values,
, Soft Methods for Handling Variability and Imprecision, Berlin, Heidelberg, p.126–132, (2008)
Energy-Efficient Sound Environment Classifier for Hearing Aids Based on Multi-objective Simulated Annealing Programming,
, 10th International Conference on Soft Computing Models in Industrial and Environmental Applications, Cham, p.261–270, (2015)
Estimación de la Longitud de Línea de Baja Tensión Mediante Técnicas Evolutivas de Análisis de Datos,
, 8ª Reunión Nacional de Grupos de Investigación en Ingeniería Eléctrica, (1998)
Evolving Fuzzy Rule Based Classifiers with GA-P: A Grammatical Approach,
, 05, Volume 1598, p.203-210, (1999)
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)
Genetic Algorithms for Estimating Longest Path from Inherently Fuzzy Data Acquired with GPS,
, Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning, Berlin, Heidelberg, p.232–240, (2006)
Genetic Fuzzy Modelling of Li-Ion Batteries Through a Combination of Theta-DEA and Knowledge-Based Preference Ordering,
, Advances in Artificial Intelligence, Cham, p.310–320, (2016)
Genetic Search of Block-Based Structures of Dynamical Process Models,
, 06, Volume 2686, p.526-533, (2003)
GFS-Based Analysis of Vague Databases in High Performance Athletics,
, 09, p.602-609, (2009)
Graph Based GP Applied to Dynamical Systems Modeling,
, 06, Volume 2084, p.725-732, (2001)
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)
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)
Mutual Information-Based Feature Selection in Fuzzy Databases Applied to Searching for the Best Code Metrics in Automatic Grading,
, Hybrid Artificial Intelligence Systems, Cham, p.330–341, (2014)
Online SOC estimation of Li-FePO4 batteries through an observer of the system state with minimal nonspecificity,
, 08, p.1-8, (2015)
Optimización genético borrosa de parámetros en un sistema de bajo coste para la medición visual de cotas de vehículos,
, Congreso Español sobre tecnologías y lógica fuzzy, 01, León (España), (2002)
Optimizing Supply Strategies in the Spanish Electrical Market.,
, 06, Volume 2687, p.353-360, (2003)
Preliminary results on the application of boosting to learn weighted fuzzy rules under single-winner inference,
, Congreso español de metaheurísticas, algoritmos evolutivos y bioinspirados., Córdoba-España, (2004)
RKEEL: Using KEEL in R code,
, 07, p.257-264, (2016)
Selecting an Appropriate Statistical Test for Comparing Multiple Experiments in Evolutionary Machine Learning,
, 09, (2007)
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)
Supervising classrooms comprising children with dyslexia and other learning problems with graphical exploratory analysis for fuzzy data: Presentation of the software tool and case study,
, IEEE International Conference on Fuzzy Systems, 07, p.2133-2140, (2014)
Using a symbolic model checker for verify safety properties in SA/RT models,
, Software Engineering –- ESEC '95, Berlin, Heidelberg, p.59–75, (1995)
Using the adabooth algorithm to induce fuzzy rules in classification problems,
, X Congreso Español sobre Tecnologías y Lógica Difusa, 09, Santander (España), (2000)
A fast genetic method for inducting descriptive fuzzy models,
, Fuzzy Sets and Systems, 01, Volume 141, p.33-46, (2004)
A Genetic Fuzzy Linguistic Combination Method for Fuzzy Rule-based Multiclassifiers Revista: IEEE Transactions on Fuzzy Systems,
, IEEE Transactions on Fuzzy Systems, 01, Volume 21, Number 5, p.950-965, (2013)
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)
An Equivalent Circuit Model With Variable Effective Capacity for LiFePO4 Batteries,
, IEEE Transactions on Vehicular Technology, 10, Volume 63, p.3592-3599, (2014)
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)
Cost-Sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems Using FURIA,
, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 10, Volume 22, p.643-675, (2014)
Extending a simple genetic cooperative-competitive learning fuzzy classifier to low quality datasets,
, Evolutionary Intelligence, 11, Volume 2, p.73-84, (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)
Improving the Eco-Efficiency of High Performance Computing Clusters Using EECluster,
, Energies, 03, Volume 9, p.197, (2016)
Induction of descriptive fuzzy classifiers with the Logitboost algorithm,
, Soft Computing, Jul, Volume 10, Number 9, p.825–835, (2006)
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)
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)
Localization and fuzzy classification of manufacturing defects in sheets of glass,
, 01, Volume 5, (1998)
Niching scheme for steady state GA-P and its application to fuzzy rule based classifiers induction,
, 01, (2000)
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)
Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms,
, 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,
, Soft Computing, 05, Volume 16, (2011)
Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques,
, Applied Intelligence, Jan, Volume 10, Number 1, p.5–24, (1999)
Supply Estimation Using Coevolutionary Genetic Algorithms in the Spanish Electrical Market,
, Applied Intelligence, 07, Volume 21, p.7-24, (2004)
Taximeter verification with GPS and soft computing techniques,
, Soft Computing, Mar, Volume 14, Number 4, p.405, (2009)
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)