Perfil

del Jesús Díaz,   Mª José

María José del Jesus es profesora titular de universidad en área de Ciencias de la Computación e Inteligencia Artificial de la Universidad de Jaén. Sus líneas de investigación se centran en el área de Ciencia de Datos. En particular dentro del área de analítica o minería de datos predictiva en el diseño de algoritmos de extracción de conocimiento para clasificación (binaria, multiclase, multietiqueta o desbalanceada), regresión y predicción de series temporales con sistemas difusos evolutivos, redes neuronales y ensembles. En área de minería de datos descriptiva trabaja en el diseño de algoritmos de extracción de reglas de descripción de subgrupos y reglas de asociación. Es responsable del grupo de investigación Sistemas Inteligentes y Minería de Datos(TIC‐207). Ha publicado más de 40 trabajos en revistas internacionales indexadasen el JCR, ha presentado más de un centenar de comunicaciones, ponencias y conferencias en congresos nacionales e internacionales; ha dirigido 7 tesis doctorales, dos de ellas con mención de doctorado europeo o internacional; y algunos de sus trabajos han obtenido reconocimientos internacionales (High cited paper por ISI Essential Science indicators, CIS Publication Spotlight otorgado por IEEE Computational Intelligence Magazine y Lofti Zadeh Prize Best Paper Award). Mantiene colaboraciones científicas con universidades europeas en Alemania (Universidad de Dormund) e Inglaterra (University of Lecitester, De Montfort University y University of Bolton). Es miembro de la sociedad IEEE (Institute of Electrical and Electronics Engineers) y revisora habitual en revistas de referencia en el campo de la Inteligencia Computacional. Ha sido coeditora de varios libros y números especiales en revistas internacionales. Ha colaborado asiduamente como experta en procesos de evaluación de la Agencia Nacional de Evaluación y Prospectiva (ANEP) y la Agencia de Andaluza de Investigación. Ha participado en más de 20 proyectos de investigación nacionales y autonómicos, siendo investigadora principal en 5 de ellos.

ID ORCID: 0000-0002-7891-3059

Publicaciones

A Showcase of the Use of Autoencoders in Feature Learning Applications

BOOK_CHAPTER

doi   10.1007/978-3-030-19651-6_40

eid  

2019

Automating Autoencoder Architecture Configuration: An Evolutionary Approach

BOOK_CHAPTER

doi   10.1007/978-3-030-19591-5_35

eid  

2019

Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming

JOURNAL_ARTICLE

doi   10.1109/TCYB.2017.2750919

eid   WOS:000447825400001

2018

An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects

JOURNAL_ARTICLE

doi   10.1002/widm.1231

eid   WOS:000418103600004

2018

Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository

JOURNAL_ARTICLE

doi   10.1016/j.neucom.2018.02.011

eid   WOS:000428123200007

2018

REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization

JOURNAL_ARTICLE

doi   10.1016/j.neucom.2017.01.118

eid   WOS:000452306700012

2018

A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy

JOURNAL_ARTICLE

doi   10.1016/j.knosys.2017.10.015

eid   WOS:000417773400008

2018

Improvement of subgroup descriptions in noisy data by detecting exceptions

JOURNAL_ARTICLE

doi   10.1007/s13748-017-0131-7

eid   WOS:000430390100005

2018

A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines

JOURNAL_ARTICLE

doi   10.1016/j.inffus.2017.12.007

eid   WOS:000435059200007

2018

MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns

JOURNAL_ARTICLE

doi   10.1109/TFUZZ.2018.2814577

eid  

2018

MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution

JOURNAL_ARTICLE

doi   10.1016/j.knosys.2016.08.021

eid   WOS:000393006900007

2017

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

JOURNAL_ARTICLE

doi   WOS:000415593600028

eid  

2017

A First Approach to Handle Fuzzy Emerging Patterns Mining on Big Data Problems: The EvAEFP-Spark Algorithm

BOOK_CHAPTER

doi   WOS:000426449100288

eid  

2017

Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining

BOOK_CHAPTER

doi   10.1007/978-3-319-47364-2_32

eid   WOS:000405330000032

2017

A Transformation Approach Towards Big Data Multilabel Decision Trees

BOOK_CHAPTER

doi   10.1007/978-3-319-59153-7_7

eid   WOS:000443108200007

2017

On the Impact of Imbalanced Data in Convolutional Neural Networks Performance

BOOK_CHAPTER

doi   10.1007/978-3-319-59650-1_19

eid   WOS:000432880600019

2017

A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets

JOURNAL_ARTICLE

doi   10.1142/S0129065717500289

eid   WOS:000404348800006

2017

Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package

JOURNAL_ARTICLE

doi   WOS:000395669800020

eid  

2016

A View on Fuzzy Systems for Big Data: Progress and Opportunities

JOURNAL_ARTICLE

doi   10.1080/18756891.2016.1180820

eid   WOS:000375236200006

2016

Multilabel Classification. Problem Analysis, Metrics and Techniques

BOOK

doi   978-3-319-411110-1

eid  

2016

Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach

BOOK_CHAPTER

doi   10.1007/978-3-319-32034-2_23

eid   WOS:000389499600023

2016

R Ultimate Multilabel Dataset Repository

BOOK_CHAPTER

doi   10.1007/978-3-319-32034-2_41

eid   WOS:000389499600041

2016

On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance

BOOK_CHAPTER

doi   10.1007/978-3-319-32034-2_42

eid   WOS:000389499600042

2016

Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection

BOOK_CHAPTER

doi   10.1007/978-3-319-24834-9_5

eid   WOS:000374793000005

2015

A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans

JOURNAL_ARTICLE

doi   10.1016/j.ins.2014.11.030

eid   WOS:000349590000011

2015

FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery

BOOK_CHAPTER

doi   WOS:000358581100065

eid  

2015

A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions

JOURNAL_ARTICLE

doi   10.1016/j.eswa.2015.02.032

eid   WOS:000355036900006

2015

Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges

JOURNAL_ARTICLE

doi   10.1016/j.knosys.2015.01.013

eid   WOS:000353853200011

2015

Addressing imbalance in multilabel classification: Measures and random resampling algorithms

JOURNAL_ARTICLE

doi   10.1016/j.neucom.2014.08.091

eid   WOS:000356196800002

2015

MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation

JOURNAL_ARTICLE

doi   10.1016/j.knosys.2015.07.019

eid   WOS:000364249800028

2015

Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels

BOOK_CHAPTER

doi   10.1007/978-3-319-19644-2_41

eid   WOS:000363689900041

2015

QUINTA: A Question Tagging Assistant to Improve the Answering Ratio in Electronic Forums

JOURNAL_ARTICLE

doi   WOS:000380463400014

eid  

2015

Analysis and forecasting of the olive oil export times series

JOURNAL_ARTICLE

doi   WOS:000359136600167

eid  

2014

Short, medium and long term forecasting of time series using the L-Co-R algorithm

JOURNAL_ARTICLE

doi   10.1016/j.neucom.2013.08.023

eid   WOS:000331851700047

2014

Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms

JOURNAL_ARTICLE

doi   10.1002/widm.1118

eid   WOS:000331918900019

2014

Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets

JOURNAL_ARTICLE

doi   10.1016/j.asoc.2014.09.011

eid   WOS:000344460600003

2014

MLeNN: A First Approach to Heuristic Multilabel Undersampling

BOOK_CHAPTER

doi   WOS:000345286100001

eid  

2014

Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms

BOOK_CHAPTER

doi   WOS:000342836300010

eid  

2014

Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks

JOURNAL_ARTICLE

doi   10.1002/widm.1134

eid   WOS:000344523100003

2014

LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification

JOURNAL_ARTICLE

doi   10.1109/TNNLS.2013.2296501

eid   WOS:000343704900009

2014

Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks

JOURNAL_ARTICLE

doi   WOS:000324897700032

eid  

2013

A First Approach to Deal with Imbalance in Multi-label Datasets

JOURNAL_ARTICLE

doi   WOS:000342910700016

eid  

2013

Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches

JOURNAL_ARTICLE

doi   10.1016/j.knosys.2013.01.018

eid   WOS:000316509500010

2013

MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology

JOURNAL_ARTICLE

doi   10.1016/j.knosys.2013.08.001

eid   WOS:000327685800008

2013

Fuzzy rules for describing subgroups from Influenza A virus using a multi-objective evolutionary algorithm

JOURNAL_ARTICLE

doi   10.1016/j.asoc.2013.04.011

eid   WOS:000321494200002

2013

An evolutionary fuzzy system for the detection of exceptions in subgroup discovery

JOURNAL_ARTICLE

doi   WOS:000333960300014

eid  

2013

A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets

JOURNAL_ARTICLE

doi   10.1016/j.knosys.2012.08.025

eid   WOS:000314382100010

2013

A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments

BOOK_CHAPTER

doi   WOS:000349557200266

eid  

2013

Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks

JOURNAL_ARTICLE

doi   10.1016/j.eswa.2012.09.016

eid   WOS:000314737600018

2013

A Preliminary Study on Missing Data Imputation in Evolutionary Fuzzy Systems of Subgroup Discovery

JOURNAL_ARTICLE

doi   WOS:000309188200120

eid  

2012

An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery

JOURNAL_ARTICLE

doi   10.1016/j.eswa.2012.04.029

eid   WOS:000305204600008

2012

A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO2RBFN

OTHER

doi   10.1007/978-3-642-32922-7_45

eid  

2012

Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm

JOURNAL_ARTICLE

doi   10.1007/s00500-011-0784-2

eid   WOS:000305247600001

2012

Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD

JOURNAL_ARTICLE

doi   10.1080/18756891.2012.685323

eid   WOS:000303573600009

2012

Cost sensitive and preprocessing for classification with imbalanced data-sets: similar behaviour and potential hybridizations

OTHER

doi   121715054497-235

eid  

2012

Improving Multi-label Classifiers via Label Reduction with Association Rules

OTHER

doi   WOS:000309173800018

eid  

2012

Subgroup discovery applied to the e-commerce website OrOliveSur.com

OTHER

doi   1204160809560-624

eid  

2012

Web usage mining to improve the design of an e-commerce website: OrOliveSur.com

JOURNAL_ARTICLE

doi   10.1016/j.eswa.2012.03.046

eid   WOS:000305863300095

2012

A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods

JOURNAL_ARTICLE

doi   10.1007/s10489-011-0284-1

eid   WOS:000290227300002

2011

Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification

OTHER

doi   10.1007/978-3-642-21501-8_6

eid  

2011

Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department

JOURNAL_ARTICLE

doi   10.1007/s00500-010-0670-3

eid   WOS:000297128000009

2011

On the discovery of association rules by means of evolutionary algorithms

JOURNAL_ARTICLE

doi   10.1002/widm.18

eid   WOS:000304258100003

2011

An overview on subgroup discovery: foundations and applications

JOURNAL_ARTICLE

doi   10.1007/s10115-010-0356-2

eid   WOS:000297131000001

2011

A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price

JOURNAL_ARTICLE

doi   WOS:000305319500027

eid  

2011

Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD

OTHER

doi   10.1109/GEFS.2011.5949498

eid  

2011

On the Usefulness of Fuzzy Rule Based Systems Based on Hierarchical Linguistic Fuzzy Partitions

BOOK_CHAPTER

doi   10.1007/978-3-642-19820-5_8

eid  

2011

Introduction to the Experimental Design in the Data Mining Tool KEEL

BOOK_CHAPTER

doi   10.4018/978-1-61520-757-2.ch001

eid  

2010

On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets

JOURNAL_ARTICLE

doi   10.1016/j.ins.2009.12.014

eid   WOS:000275139300006

2010

Comparison of response surface methodology and artificial neural network applied to enzymatic hydrolysis of rapeseed straw

JOURNAL_ARTICLE

doi   10.1016/j.jbiotec.2010.08.360

eid   WOS:000288873401022

2010

NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery

JOURNAL_ARTICLE

doi   10.1109/TFUZZ.2010.2060200

eid   WOS:000283370100010

2010

Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market

OTHER

doi   WOS:000281604000021

eid  

2010

Multi-class imbalanced data-sets with linguistic fuzzy rule based classification systems based on pairwise learning

OTHER

doi   1217150544100-341

eid  

2010

Analysing the Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection

BOOK_CHAPTER

doi   10.1109/GEFS.2010.5454155

eid   WOS:000393021500012

2010

GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems

JOURNAL_ARTICLE

doi   10.1016/j.ins.2009.12.020

eid   WOS:000275139300001

2010

A Preliminary Study on Mutation Operators in Cooperative Competitive Algorithms for RBFN Design

OTHER

doi   WOS:000287421403038

eid  

2010

A preliminar analysis of CO2RBFN in imbalanced problems

BOOK

doi   10.1007/978-3-642-02478-8_8

eid   2-s2.0-68749108641

2009

Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery

JOURNAL_ARTICLE

doi   WOS:000267794600069

eid  

2009

EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design

JOURNAL_ARTICLE

doi   WOS:000270081200094

eid  

2009

Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data

JOURNAL_ARTICLE

doi   10.1016/j.eswa.2007.11.026

eid   WOS:000262178000068

2009

Evolutionary and metaheuristics based data mining

JOURNAL_ARTICLE

doi   10.1007/s00500-008-0373-1

eid   WOS:000260518500001

2009

On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets

JOURNAL_ARTICLE

doi   10.1016/j.eswa.2009.02.048

eid   WOS:000266086600026

2009

KEEL: a software tool to assess evolutionary algorithms for data mining problems

JOURNAL_ARTICLE

doi   10.1007/s00500-008-0323-y

eid   WOS:000260518500008

2009

Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System

JOURNAL_ARTICLE

doi   WOS:000270081200037

eid  

2009

Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification

JOURNAL_ARTICLE

doi   WOS:000271116900006

eid  

2009

Modelo Predictivo Colaborativo de Apoyo al Diagnóstico en Servicio de Urgencias Psiquiátricas

JOURNAL_ARTICLE

doi   0224192023858-262

eid  

2009

Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets

JOURNAL_ARTICLE

doi   inexistente

eid   inexistente

2009

A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design

JOURNAL_ARTICLE

doi   WOS:000262358600079

eid  

2009

Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets

JOURNAL_ARTICLE

doi   10.1016/j.ijar.2008.11.004

eid   WOS:000264713200014

2009

Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms

JOURNAL_ARTICLE

doi   WOS:000270081200048

eid  

2009

An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery

JOURNAL_ARTICLE

doi   10.1109/FUZZY.2009.5277412

eid   WOS:000274242600298

2009

STUDY OF THE ROBUSTNESS OF A META-ALGORITHM FOR THE ESTIMATION OF PARAMETERS IN RADIAL BASIS FUNCTION NEURAL NETWORKS DESIGN

JOURNAL_ARTICLE

doi   WOS:000264426400006

eid  

2009

Techniques of Engineering Applied to a Non-structured Data Model

JOURNAL_ARTICLE

doi   WOS:000262358600048

eid  

2009

E-tsRBF: preliminary results on the simultaneous determination of time-lags and parameters of Radial Basis Function Neural Networks for time series forecasting

JOURNAL_ARTICLE

doi   10.1109/ISDA.2009.234

eid   WOS:000288405800247

2009

A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets

JOURNAL_ARTICLE

doi   10.1016/j.fss.2007.12.023

eid   WOS:000258367800004

2008

Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm

JOURNAL_ARTICLE

doi   WOS:000259875000016

eid  

2008

Subgroup Discovery with Linguistic Rules

BOOK_CHAPTER

doi   10.1007/978-3-540-73723-0_21

eid  

2008

KEEL: A data mining software tool integrating genetic fuzzy systems

JOURNAL_ARTICLE

doi   WOS:000257170100014

eid  

2008

A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets

CONFERENCE_PAPER

doi   0224192023859-347

eid  

2008

A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problems

JOURNAL_ARTICLE

doi   WOS:000257170100017

eid  

2008

A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks

JOURNAL_ARTICLE

doi   10.1007/s00500-006-0128-9

eid   WOS:000244305200007

2007

An analysis of the rule weights and fuzzy reasoning methods for linguistic rule based classification systems applied to problems with highly imbalanced data sets

JOURNAL_ARTICLE

doi   WOS:000248082000021

eid  

2007

Evolutionary fuzzy rule induction process for subgroup discovery: A case study in marketing

JOURNAL_ARTICLE

doi   10.1109/TFUZZ.2006.890662

eid   WOS:000248703700005

2007

Niching genetic feature selection algorithms applied to the design of fuzzy rule-based classification systems

JOURNAL_ARTICLE

doi   WOS:000252371500309

eid  

2007

CoEvRBFN: An approach to solving the classification problem with a hybrid cooperative-coevolutive algorithm

JOURNAL_ARTICLE

doi   WOS:000247839300040

eid  

2007

Multiobjective genetic algorithm for extracting subgroup discovery fuzzy rules

JOURNAL_ARTICLE

doi   10.1109/MCDM.2007.369416

eid   WOS:000248485300009

2007

A study on the use of the fuzzy reasoning method based on the winning rule vs. voting procedure for classification with imbalanced data sets

JOURNAL_ARTICLE

doi   WOS:000247839300046

eid  

2007

Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off

JOURNAL_ARTICLE

doi   10.1016/j.ijar.2006.06.002

eid   WOS:000243807500001

2007

Multiobjective evolutionary induction of subgroup discovery fuzzy rules: A case study in marketing

JOURNAL_ARTICLE

doi   WOS:000239623700027

eid  

2006

A genetic-programming-based approach for the learning of compact fuzzy rule-based classification systems

JOURNAL_ARTICLE

doi   WOS:000239600000020

eid  

2006

Learning compact fuzzy rule-based classification systems with genetic programming

OTHER

doi   0224192023860-290

eid  

2005

Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction

JOURNAL_ARTICLE

doi   10.1109/TFUZZ.2004.839670

eid   WOS:000226944500002

2005

Evolutionary Induction of Descriptive Rules in a Market Problem

BOOK_CHAPTER

doi   10.1007/11004011_14

eid  

2005

Multiobjective evolutionary induction of subgroup discovery rules in a market problem

OTHER

doi   1217150544205-325

eid  

2005

Extracción de conocimiento con algoritmos evolutivos y reglas difusas

BOOK_CHAPTER

doi   0224192023860-395

eid  

2004

Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms

JOURNAL_ARTICLE

doi   10.1109/TFUZZ.2004.825972

eid   WOS:000221872100002

2004

Proyecto KEEL: Desarrollo de una herramienta para el análisis e implementación de algoritmos de extracción de conocimiento evolutivos

BOOK_CHAPTER

doi   1217150544207-353

eid  

2004

A multiobjective genetic algorithm for feature selection and data base learning in fuzzy-rule based classification systems

JOURNAL_ARTICLE

doi   10.1016/B978-044451379-3/50026-1

eid   WOS:000189131300026

2003

A multiobjective genetic learning process for joint feature selection and granularity and contexts learning in Fuzzy Rule-Based Classification Systems

JOURNAL_ARTICLE

doi   CCC:000186181900004

eid  

2003

Co-evolutionary algorithm for RBF by self-organizing population of neurons

JOURNAL_ARTICLE

doi   WOS:000185042000060

eid  

2003

A multiobjective genetic algorithm for feature selection and data base learning in fuzzy-rule based classification systems

OTHER

doi   0224192023860-421

eid  

2002

Some relationships between fuzzy and random set-based classifiers and models

JOURNAL_ARTICLE

doi   10.1016/S0888-613X(01)00063-9

eid   WOS:000173437800003

2002

A multiobjective genetic algorithm for feature selection and granularity learning in fuzzy-rule based classification systems

JOURNAL_ARTICLE

doi   WOS:000173245100221

eid  

2001

Feature Selection Algorithms Applied to Parkinson’s Disease

BOOK_CHAPTER

doi   10.1007/3-540-45497-7_29

eid  

2001

Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems

JOURNAL_ARTICLE

doi   10.1016/S0020-0255(01)00147-5

eid   WOS:000169958400008

2001

Genetic tuning of fuzzy rule-based systems integrating linguistic hedges

JOURNAL_ARTICLE

doi   WOS:000173245100276

eid  

2001

Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modelling

BOOK_CHAPTER

doi   1217150544853-400

eid  

2000

Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process

OTHER

doi   1217150544854-337

eid  

2000

A proposal on reasoning methods in fuzzy rule-based classification systems

JOURNAL_ARTICLE

doi   10.1016/S0888-613X(00)88942-2

eid   WOS:000078746500002

1999

MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach

JOURNAL_ARTICLE

doi   10.1002/(SICI)1098-111X(199911)14:11<1123::AID-INT4>3.3.CO;2-Y

eid   WOS:000083405400004

1999

Evolutionary Approaches to the Learning of Fuzzy Rule-Based Classification Systems

BOOK_CHAPTER

doi   0224192023861-403

eid  

1999

Analyzing the Reasoning Mechanisms in Fuzzy Rule-Based Classification Systems

JOURNAL_ARTICLE

doi   1217150544855-405

eid  

1998

Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas

JOURNAL_ARTICLE

doi   1217150544856-406

eid  

1998

Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods

JOURNAL_ARTICLE

doi   10.1002/(SICI)1098-111X(199810/11)13:10/11<1025::AID-INT9>3.3.CO;2-O

eid   WOS:000076051000009

1998