Intelligent Systems and Data Mining

Soft Computing, Evolutionary Algorithms, Fuzzy Logic, Environmental Applications, Bioinformatics ...

Publications

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[ Type(Desc)] Year
Book Chapter
A first approach in the class noise filtering approaches for Fuzzy Subgroup Discovery, Carmona, C. J., and Luengo J. , Advances in Intelligent Systems and Computing, Volume 368, p.387-399, (2015) PDF icon 2015 - SOCO.pdf (530.94 KB)
A Review on Evolutionary Prototype Selection, García, S., Cano J. R., and Herrera F. , Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, p.92–113, (2010)
Applying Subgroup Discovery Based on Evolutionary Fuzzy Systems for Web Usage Mining in E-Commerce: A Case Study on OrOliveSur.com, Carmona, C. J., and del Jesus M.J. , Foundations and Applications of Intelligent Systems, p.591-602, (2013) PDF icon 2012 - ISKE(2).pdf (354.7 KB)
CO2RBFN for Short and Medium Term Forecasting of the Extra Virgin Olive Oil Price, Pérez-Godoy, M.D., Pérez P., Frías M.P., Rivera-Rivas A. J., Carmona C. J., and Parras M. , Studies in Computational Intelligence, Volume 284, p.113-125, (2010) PDF icon 2010 - NICSO(2).pdf (589.38 KB)
Evolutionary Induction of Descriptive Rules in a Market Problem, del Jesus, M.J., González P., Herrera F., and Mesonero M. , Intelligent Data Mining. Techniques and Applications, Studies in Computational Intelligence, Volume 5, p.267-292, (2005)
Fuzzy Rule Reduction and Tuning of Fuzzy Logic Controllers for a HVAC System, Alcalá, R., Alcalá-Fdez J., Gacto M. J., and Herrera F. , Fuzzy Applications in Industrial Engineering, Studies in Fuzziness and Soft Computing, Volume 201, p.89-117, (2006)
Instance Selection Using Evolutionary Algorithms: An Experimental Study, Cano, J. R., Herrera F., and Lozano M. , Knowledge Discovery in Advanced Information Systems, p.127-152, (2005)
PRESETEMP: Predicción de Series Temporales mediante técnicas de Minería de Datos, Rivas, V. M., Parras-Gutiérrez E., Pérez-Godoy M.D., Rivera-Rivas A. J., Olmo M. J., Arenas M.G., Fernandez-Montoya A., and Cillero M. , Proyectos de Investigación 2009-10, (2012)
Selección Evolutiva Estratificada de Conjuntos de Entrenamiento para la Obtención de Bases de Reglas con un Alto Equilibrio entre Precisión e Interpretabilidad, Cano, J. R., Herrera F., and Lozano M. , Tendencias de la Minería de Datos en Spain., p.263 - 274, (2004)
Strategies for Scaling Up Evolutionary Instance Reduction Algorithms for Data Mining, Cano, J. R., Herrera F., and Lozano M. , Evolutionary Computation in Data Mining, p.21-39, (2005)
A Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining, Cano, J. R., Herrera F., and Lozano M. , Soft Computing: Methodologies and Applications, p.271-284, (2005)
On the use of Multiobjective Genetic Algorithms to Improve the Accuracy-Interpretability Trade-Off of Fuzzy Rule-Based Systems, Alcalá, R., Alcalá-Fdez J., Gacto M. J., and Herrera F. , Multi-objective Evolutionary Algorithms for Knowledge Discovery from Data Bases, Volume 98, (2008)
Conference Paper
A First Approach to Handle Emergining Patterns Mining on Big Data Problems: The EvAEFP-Spark Algorithm, García-Vico, A.M., González P., del Jesus M. J., and Carmona C. J. , Proc. of the 2017 IEEE International Conference on Fuzzy Systems, p.1–6, (2017) PDF icon 2017-Garcia-FuzzIEEE.pdf (274.3 KB)
A GRASP Algorithm for Clustering, Cano, J. R., Cordón O., Herrera F., and Sánchez Luciano , Proceedings of the 8th Ibero-American Conference on Artifical Intelligence, Seville, Spain, November 12-15, 2002, , p.214–223, (2002)
A Nearest Hyperrectangle Monotonic Learning Method, García, Javier, Cano J. R., and García S. , Proceedings of the 11th International Conference Hybrid Artificial Intelligent Systems, 2016, Seville, Spain, April 18-20, 2016, p.311–322, (2016)
A Preliminary Study on Mutation Operators in Cooperative Competitive Algorithms for RBFN Design, Pérez-Godoy, M.D., Rivera-Rivas A. J., Carmona C. J., and del Jesus M.J. , IEEE World Congress on Computational Intelligence (WCCI), p.349–355, (2010) PDF icon 2010 - IEEEWCCS - CoreA.pdf (606.64 KB)
Adaptación de una asignatura avanzada de redes de computadores al modelo de docencia virtual dentro del marco del Espacio Europeo de Educación Superior, Rivera-Rivas, A. J., Carmona C. J., Pérez-Godoy M.D., and del Jesus M.J. , International Conference on Development and Innovation with New Technologies in Engineering Education, p.15-21, (2009) PDF icon 2009 - FINDIT.pdf (168.85 KB)
Addressing Data-Complexity for Imbalanced Data-sets: A Preliminary Study on the Use of Preprocessing for C4.5, Luengo, J., Fernández A., Herrera F., and García S. , 9th International Conference on Intelligent Systems Designs and Applications (ISDA), p.523-528, (2009)
Ajuste Evolutivo Lateral y de Amplitud de etiquetas para Sistemas Basados en Reglas Difusas, Alcalá, R., Alcalá-Fdez J., Gacto M. J., and Herrera F. , Simposio de Inteligencia Computacional (SICO)} address = {Granada (Spain), p.481-488, (2005)
Ajuste genético lateral de las etiquetas lingüísticas en descubrimiento de subgrupos, Carmona, C. J., González P., Gacto M. J., and del Jesus M.J. , XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), February, Valladolid (Spain), p.271-276, (2012) PDF icon 2012 - ESTYLF.pdf (3.43 MB)
Algoritmo Evolutivo de Extracción de reglas de Asociación aplicado a un problema de marketing, del Jesus, M.J., González P., Herrera F., and Mesonero M. , III Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados(MAEB), Córdoba (Spain), p.102-104, (2004)
Algoritmo Genético Multi-Objetivo Avanzado para el ajuste de un sistema difuso aplicado al Control de Sistemas de Ventilación, Calefacción y Aire Acondicionado, Gacto, M. J., Alcalá R., and Herrera F. , Proceedings of the Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), February, p.595-602, (2009)
Algoritmos simbióticos para la generación de redes RBF: comparativa entre codificaciones real y binaria, Parras-Gutiérrez, E., Rivas V. M., and del Jesus M.J. , VI Congreso Español sobre Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (MAEB), February, Málaga, p.341-348, (2009)
Análisis de Diferentes Tipos de Reglas en Sistemas Difusos Evolutivos para Minería de Patrones Emergentes, García-Vico, A.M., Carmona C. J., and del Jesus M. J. , Proc. of the XII Spanish Conference on Metaheuristics, Evolutive and Bioinspired Algorithms (MAEB 2017), p.876–885, (2017) PDF icon 2017-Garcia-MAEB2017.pdf (137.29 KB)
Análisis del virus de la gripe A mediante descubrimientos de subgrupos difusos, Carmona, C. J., Chrysostomou C., Seker H., and del Jesus M.J. , VII Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA), September, Madrid (Spain), p.1313-1322, (2013) PDF icon 2013 - TAMIDA.pdf (294.44 KB)
Análisis descriptivo mediante aprendizaje supervisado basado en patrones emergentes, Carmona, C. J., Pulgar-Rubio F., García-Vico A.M., González P., and del Jesus M.J. , VII Simposio de Teoría y Aplicaciones de Minería de Datos, p.685-694, (2015) PDF icon 2015 - TAMIDA-a.pdf (251.88 KB)
Análisis of Evolutionary Prototype Selection by means of a Data Complexity Measure based on Class Separabilty, Cano, J. R., García S., Herrera F., and Bernadó-Mansilla E. , Actas del Taller de Minería de Datos y Aprendizaje (TAMIDA), Zaragoza, p.145-152, (2007)
Analysing Concentrating Photovoltaics Technology through the use of Emerging Pattern Mining, García-Vico, A.M., Montes J., Aguilera J., Carmona C. J., and del Jesus M.J. , Proceedings of the 11th International Conference on Soft Computing Models in Industrial and Environmental Applications, (2016) PDF icon 2016 - SOCO.pdf (803.02 KB)
Analysing the Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection, Fernández, A., del Jesus M.J., and Herrera F. , 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS), March, Mieres (Spain), p.69-74, (2010)
An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery, Carmona, C. J., González P., del Jesus M.J., and Herrera F. , IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), August, ICC Jeju, Jeju Island, Korea, p.1706-1711, (2009) PDF icon 2009 - FUZZIEEE.pdf (192.81 KB)
Analysis of the Impact of Using Different Diversity Functions for the Subgroup Discovery Algorithm NMEEF-SD, Carmona, C. J., González P., del Jesus M.J., and Herrera F. , 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS), April, Paris (France), p.17-23, (2011) PDF icon 2011 - GEFS.pdf (6.67 MB)
Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm, Gacto, M. J., Alcalá R., and Herrera F. , LNAI 6097, June, Córdoba, p.228-238, (2010)
An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets, Fernández, A., García S., del Jesus M.J., and Herrera F. , International Workshop on Fuzzy Logic and Applications (WILF), July, Genova (Italy), p.170-179, (2007)
Aplicación de Algoritmos Evolutivos de Descubrimiento de Subgrupos en e-Learning: un Caso de Estudio, Romero, C., González P., Ventura S., del Jesus M.J., and Herrera F. , V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), Tenerife (Spain), p.493-500, (2007)
Aplicación de un algoritmo de extracción de reglas difusas para minería de uso web, Carmona, C. J., González P., Rivas V. M., and del Jesus M.J. , XIV Congreso Español de Tecnologías y Lógica Difusa (ESTYLF), September, Langreo-Mieres (Spain), (2008) PDF icon 2008a - ESTYLF.pdf (455.19 KB)
Applied Techniques of Engineering to Non-Structured Data Model, Carmona, C. J., del Jesus M.J., Guerrero P., Peña-Santiago R., and Rivas V. M. , International Symposium on Distributed Computing and Artificial Intelligence (DCAI), Volume 50, Salamanca (Spain), p.410-414, (2008) PDF icon 2008 - DCAI.pdf (246.2 KB)
Aprendizaje de reglas difusas mediante programación genética en problemas con alta dimensionalidad, Berlanga, F. J., del Jesus M.J., and Herrera F. , I Simposio sobre Lógica Fuzzy y Soft Computing (LFSC), Granada (Spain), p.93-100, (2005)
Aprendizaje Evolutivo de los Contextos de las Funciones de Pertenencia para Extraer Reglas de Asociación Difusas, Alcalá-Fdez, J., Alcalá R., Gacto M. J., and Herrera F. , Proceedings of the II Congreso Español de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy y Soft Computing (LFSC), September, p.25-32, (2007)
Aprendizaje Evolutivo De Sistemas Aproximativos De Tipo TSK Para Problemas De Alta Dimensionalidad, Gacto, M. J., Alcalá R., and Herrera F. , XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), February, Valladolid (Spain), p.295-300, (2012)
Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm, Parras-Gutiérrez, E., Rivas V. M., and del Jesus M.J. , HAIS 2008: 3rd International Workshop on Hybrid Artificial Intelligence System, October, p.140-147, (2008)
Descubrimiento de subgrupos mediante sistemas difusos evolutivos, Carmona, C. J. , II Jornadas Andaluzas de Informática (JAI), September, Canillas del Aceituno (Spain), p.30-35, (2011) PDF icon 2011 - JAI.pdf (2.11 MB)
Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification, Parras-Gutiérrez, E., Rivas V. M., del Jesus M.J., and Merelo Juan J. , International Work-Conference on Artificial Neural Networks (IWANN), June, Salamanca (Spain), p.37-40, (2009)
A double axis classi cation of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems, Gacto, M. J., Alcalá R., and Herrera F. , 9th International Workshop on Fuzzy Logic and Applications (WILF), (2011)
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design, López, P.L., Rivera-Rivas A. J., Pérez-Godoy M.D., del Jesus M.J., and Carmona C. J. , International Work-Conference on Artificial Neural Networks (IWANN), Number 2009, p.752–759, (2009) PDF icon 2009 - IWANN - CoreB.pdf (190.56 KB)
Enhanced Radial Basis Function Neural Network Design Using Parallel Evolutionary Algorithms, Parras-Gutiérrez, E., García-Arenas M., and Rivas V. M. , 11th International Conference on Engineering Applications of Neural Networks (EANN), August, London, p.269-280, (2009)
Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach, Carmona, C. J., Pulgar-Rubio F., Rivera-Rivas A. J., del Jesus M.J., and Aguilera J. , Proceedings of the Eleventh International Conference on Hybrid Artificial Intelligence Systems (HAIS), April, Sevilla (Spain), p.273-282, (2016) PDF icon 2016 - HAIS - CoreC.pdf (203.25 KB)
Estudio de la influencia de las medidas de complejidad de los datos en los Sistemas de Clasifcación Basados en Reglas Difusas: Análisis de la Razón Discriminante de Fisher, Luengo, J., García S., Cano J. R., and Herrera F. , XIV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), September, Mieres (Spain), p.257-263, (2008)
Estudio de las Fases de un Algoritmo de Optimización para Redes de Funciones de Base Radial, Rivera-Rivas, A. J., Rojas I., and J. Lopera Ortega , Actas del Simposio de Inteligencia Computacional (SICO), September, Granada. Spain, p.237-244, (2005)
E-tsRBF: Automatic determination of lags to forecast time series by means of Radial Basis Function Neural Networks, Parras-Gutiérrez, E., and Rivas V. M. , I International Workshop on Mining of Non-Conventional Data (MINCODA), November, Sevilla (Spain), p.42-49, (2009)
E-tsRBF: preliminary results on the simultaneous determination of time-lags and parameters of Radial Basis Function Neural Networks for time series forecasting, Parras-Gutiérrez, E., Rivas V. M., and del Jesus M.J. , 9th International Conference on Intelligent Systems Design and Applications, December, Pisa (Italy), p.1445-1449, (2009)
Evolutionary algorithms for subgroup discovery applied to e-learning data, Carmona, C. J., González P., del Jesus M.J., Romero C., and Ventura S. , IEEE EDUCON, April, Madrid (Spain), p.983-990, (2010) PDF icon 2010 - IEEEEDUCON.pdf (125.61 KB)
An evolutionary fuzzy system for the detection of exceptions in subgroup discovery, Carmona, C. J., González P., García-Domingo B., del Jesus M.J., and Aguilera J. , International Fuzzy Systems Applications World Congress (IFSA), July, Edmonton (Canada), p.74-79, (2013) PDF icon 2013 - IFSA.pdf (1.94 MB)
Evolutionary induction of descriptive fuzzy rules in a market problem, del Jesus, M.J., González P., Herrera F., and Mesonero M. , I International Workshop on Genetic Fuzzy Systems (GFS), Granada (Spain), p.57-63, (2005)
Evolutionary Multi-Objective Algorithm to Effectively Improve the Performance of the Classic Tuning of Fuzzy Logic Controllers for a Heating, Ventilating and Air Conditioning System, Gacto, M. J., Alcalá R., and Herrera F. , 5th International Workshop On Genetic And Evolutionary Fuzzy Systems (GEFS), April, (2011)
Extracción de reglas DNF difusas en un problema de marketing, del Jesus, M.J., González P., Herrera F., and Mesonero M. , XII Congreso Español de Tecnologías y Lógica Difusa(ESTYLF), Jaén (Spain), p.351-356, (2004)
Extracción Evolutiva de Reglas de Asociación en un Servicio de Urgencias Psiquiátricas, Aguilera, J.J., del Jesus M.J., González P., Herrera F., Navío M., and Sáinz J. , II Congreso español sobre Metaheurísticas, Algoritmos evolutivos y bioinspirados(MAEB), Gijón(Spain), p.548-555, (2003)
A first study on the use of fuzzy rule based classification systems for problems with imbalanced data sets, del Jesus, M.J., Fernández A., García S., and Herrera F. , Proceedings of the Symposium on Fuzzy Systems in Computer Science (FSCS), September, Magdeburg (Germany), p.63-72, (2006)
FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery, Carmona, C. J., González P., and del Jesus M.J. , 16th World Congress of the International Fuzzy Systems Association and 9th Conference of the European Society for Fuzzy Logic and Technology, p.1-8, (2015) PDF icon 2015 - IFSA-EUSFLAT - CoreB.pdf (889.5 KB)
Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets, Fernández, A., Berlanga F. J., del Jesus M.J., and Herrera F. , 13 th International Fuzzy Systems Association World Congress and 6th European Society for Fuzzy Logic and Tecnology Conference (IFSA-EUSFLAT), Lisbon (Portugal), p.42-47, (2009)
Genetic Lateral and Amplitude Tuning of Membership Functions for Fuzzy Systems, Alcalá, R., Alcalá-Fdez J., Gacto M. J., and Herrera F. , Proceedings of the 2nd International Conference on Machine Intelligence (ACIDCA-ICMI), p.589-595, (2005)
Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems, Alcalá, R., Alcalá-Fdez J., Berlanga F. J., Gacto M. J., and Herrera F. , 19th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE), Volume 4031, Annecy (France), p.452-461, (2006)
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules, Alcalá, R., Alcalá-Fdez J., Gacto M. J., and Herrera F. , Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July, London (United Kingdom)} pages = {1538-1543, (2007)
A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems, Berlanga, F. J., del Jesus M.J., Gacto M. J., and Herrera F. , The Eighth International Conference on Artificial Intelligence and Soft Computing (ICAISC), Volume 4029, Zakopane (Poland), p.182-191, (2006)
Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm, Gacto, M. J., Alcalá R., and Herrera F. , 9th International Conference on Intelligent Systems Design and Applications (ISDA), November, Pisa (Italy), p.109-114, (2009)
Impact of the Type of Rule in Fuzzy Emerging Pattern Mining on a Big Data Approach, García-Vico, A.M., González P., Carmona C. J., and del Jesus M. J. , Proc. of the II International symposium on Fuzzy and Rough Sets (ISFUROS 2017), (In Press)
An Improved Multi-Objective Genetic Algorithm for Tuning Linguistic Fuzzy System, Gacto, M. J., Alcalá R., and Herrera F. , Proceedings of the 2008 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), June, p.1121-1128, (2008)
Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection, Alcalá, R., Alcalá-Fdez J., Berlanga F. J., Gacto M. J., and Herrera F. , Modeling Decisions for Artificial Intelligence (MDAI), Volume 3885, Tarragona (Spain), p.317-328, (2006)
Improving Multi-label Classifiers via Label Reduction with Association Rules, Charte, F., Rivera-Rivas A. J., del Jesus M.J., and Herrera F. , 7th International Conference (HAIS), March, Volume II, Salamanca (Spain), p.188-199, (2012)
Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-sets Using an Evolutionary Adaptive Inference System, Fernández, A., del Jesus M.J., and Herrera F. , 10th International Work-Conference on Artificial Neural Networks (IWANN), June, Volume 5517, Salamanca (Spain), p.294-301,, (2009)
Incorporating Knowledge in Evolutionary Prototype Selection, García, S., Cano J. R., and Herrera F. , Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Volume 4224, p.1358-1366, (2006)
Indice de Interpretabilidad Semántica para el Ajuste de Sistemas Basados en Reglas Difusas y Selección de Reglas Mediante un Algoritmo Evolutivo Multi-Objetivo, Gacto, M. J., Alcalá R., and Herrera F. , XV Edición del Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), February, Huelva, p.73-78, (2010)
Inducción evolutiva multiobjetivo de reglas de descripción de subgrupos en un problema de marketing, del Jesus, M.J., González P., and Herrera F. , IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), Granada (Spain), p.661-669, (2005)
Influencia de la granularidad y de las medidas de calidad en SDIGA, González, P., Carmona C. J., del Jesus M.J., and Herrera F. , XIV Congreso Español de Tecnologías y Lógica Difusa( ESTYLF), September, Langreo-Mieres (Spain), (2008) PDF icon 2008b - ESTYLF.pdf (338.36 KB)
IN-RECS: Índice de Impacto de las Revistas Españolas de Ciencias Sociales, Jiménez, E., Delgado E., Ruíz R., López-Herrera A.G., Gacto M. J., Torres D., Moneda M., Ruiz-Baños R., Pérez J.M., Bailón R., et al. , Proceedings of the IX Jornadas Españolas de Documentación, (2005)
KEEL: A Data Mining Software Tool Integrating Genetic Fuzzy Systems, Alcalá-Fdez, J., García S., Berlanga F. J., Fernández A., Sánchez L., del Jesus M.J., and Herrera F. , 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS), WittenBommerholz (Germany), p.83-88, (2008)
Learning compact fuzzy rule-based classification systems with genetic programming, Berlanga, F. J., del Jesus M.J., and Herrera F. , 4th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), Barcelona (Spain), p.1027-1032, (2005)
Learning fuzzy rules using genetic programming: Context-free grammar definition for high-dimensionality problems, Berlanga, F. J., del Jesus M.J., and Herrera F. , I International Workshop on Genetic Fuzzy Systems (GFS), Granada (Spain), p.136-141, (2005)
Mejoras en el Diseño Multiobjetivo de Redes de Funciones de Base Radial, López, P. L., Rivera-Rivas A. J., Carmona C. J., and Pérez-Godoy M.D. , Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), p.441-446, (2010) PDF icon 2010 - ESTYLF.pdf (587.96 KB)
Minería de Patrones Emergentes: Una oportunidad para la extracción evolutiva de conocimiento, García-Vico, A.M., Carmona C. J., González P., and del Jesus M.J. , XI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016), (2016) PDF icon 2016-Garcia-EPMReview.pdf (240.75 KB)
MLeNN: A First Approach to Heuristic Multilabel Undersampling, Charte, F., Rivera-Rivas A. J., del Jesus M.J., and Herrera F. , Proceedings of the 15th Intelligent Data Engineering and Automated Learning (IDEAL 2014), September, Volume 8669, Salamanca (Spain), p.1–9, (2014)
Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning, Fernández, A., del Jesus M.J., and Herrera F. , 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), June, Volume 6178, Dortmund (Germany), p.89-98, (2010)
A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems, Alcalá, R., Alcalá-Fdez J., and Gacto M. J. , Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July, London (United Kingdom)} pages = {1367-1372, (2007)
A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability, Gacto, M. J., Alcalá R., and Herrera F. , Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA), July, Lisbon, Portugal, p.1146-1151, (2009)
Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing, Berlanga, F. J., del Jesus M.J., González P., Herrera F., and Mesonero M. , 6th Industrial Conference on Data Mining (ICDM), Volume 4065, Leipzig (Germany), p.337-349, (2006)
Multiobjective evolutionary induction of subgroup discovery rules in a market problem, Berlanga, F. J., del Jesus M.J., González P., and Herrera F. , 2nd International Conference on Machine Intelligence (ACIDCA-ICMI), Tozeur (Tunisia), p.610-617, (2005)
Multiobjective genetic algorithm for extractiong subgroup discovery fuzzy rules, González, P., del Jesus M.J., and Herrera F. , 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (IEEE MCDM), Honolulu (USA), p.50-57, (2007)
Multi-Objective Genetic Fuzzy Systems: On the Necessity of Including Expert Knowledge in the MOEA Design Process, Gacto, M. J., Alcalá R., and Herrera F. , Proceedings of the 2008 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), June, p.1446-1453, (2008)
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery, Carmona, C. J., González P., del Jesus M.J., and Herrera F. , Proceedings of the Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS), June, Volume 5572, Salamanca (Spain), p.573-580, (2009) PDF icon 2009 - HAIS.pdf (166.16 KB)
A Novel Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for High Dimensional Problems, Berlanga, F. J., del Jesus M.J., and Herrera F. , 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS), WittenBommerholz (Germany), p.101-106, (2008)
Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems, Gacto, M. J., Galende M., Alcalá R., and Herrera F. , IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 07/2013, p.1-7, (2013) PDF icon 2013-MJGacto.pdf (364.78 KB)
Obtaining Compact and Still Accurate Linguistic Fuzzy Rule-Based Systems by Using Multi-Objetive Genetic Algorithms, Alcalá, R., Alcalá-Fdez J., Gacto M. J., and Herrera F. , Proceedings of the Symposium on Fuzzy Systems in Computer Science (FSCS), p.53-62, (2006)
Obtención de Sistemas Basados en Reglas Difusas Precisos y Compactos Mediante Algoritmos Genéticos Multiobjetivo, Alcalá, R., Alcalá-Fdez J., and Gacto M. J. , Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), p.1-6, (2006)
Optimización de redes de RBFs mediante cooperación-competición de neuronas y algoritmos de minimización de error, Rivera-Rivas, A. J., Rojas I., J. Lopera Ortega, and del Jesus M.J. , MAEB, February, p.499-508, (2003)
Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms, Arenas, M.G., Parras-Gutiérrez E., Rivas V. M., Castillo P.A., del Jesus M.J., and Merelo Juan J. , International Work-Conference on Artificial Neural Networks (IWANN), June, Salamanca (Spain), p.383-390, (2009)
Parameter Estimation for Radial Basis Function Neural Network Design by Means of Two Symbiotic Algorithms, Parras-Gutiérrez, E., Rivas V. M., del Jesus M.J., and Merelo Juan J. , Proceedings of the 2008 The Second International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP), September, Valencia (Spain), p.164-169, (2008)
Predicción a muy corto plazo de series temporales de volumen de tráfico rodado mediante co-evolución de RNFBR, Rivas, V. M., Parras-Gutiérrez E., Fernandez-Ares a., Castillo P.A., Garcia-Fernandez P., and Arenas M.G. , Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), Mérida - Almendralejo (Spain), p.181-188, (2015)
Predicción de Series Temporales a largo plazo mediante Algoritmos Meta-evolutivos y Redes Neuronales de Funciones Base Radial, Parras-Gutiérrez, E., Rivas V. M., Olmo M. J., Fernandez-Montoya A., and Cillero M. , III Simposio de Inteligencia Computacional (SICO), September, Valencia, p.49-56, (2010)
Predicción de series temporales mediante la coevolución de funciones base, Rivera-Rivas, A. J., Rojas I., and J. Lopera Ortega , Tercer Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados MAEB, February, p.585-592, (2004)
Predicción de tráfico mediante co-evolución de Redes Neuronales de Funciones de Base Radial y selección de variables de entrada, Rivas, V. M., Parras-Gutiérrez E., Arenas M.G., Castillo P.A., Garcia-Sanchez P., Merelo-Guervos J.J., and Garcia-Fernandez P. , Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), Madrid (Spain), p.782-791, (2013)
A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery, Carmona, C. J., Luengo J., González P., and del Jesus M.J. , IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), June, Brisbane (Australia), p.1-7, (2012) PDF icon 2012 - FUZZIEEE.pdf (1.63 MB)
A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms, García, S., López V., Luengo J., Carmona C. J., and Herrera F. , 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM), February, Villamoura - (Portugal), p.211-216, (2012) PDF icon 2012 - ICPRAM.pdf (106.28 KB)
A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification, García, S., Derrac J., Triguero I., Carmona C. J., and Herrera F. , Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE), Cordoba, p.601-610, (2010) PDF icon 2010 - IEA-AEI.pdf (211.57 KB)
Preselection of Neurostimulation waveforms for visual prostheses using genetic algorithms, Romero, S., Guillén A., Carmona C. J., Morillas C., Pelayo F., and Pomares H. , 3rd International Conference on Biomedical Electronics and Devices (BIODEVICES), January, Valencia, p.191-194, (2010) PDF icon 2010 - BIODEVICES.pdf (232.28 KB)
A proposal of Evolutionary Prototype Selection for Class Imbalance Problems, García, S., Cano J. R., Fernández A., and Herrera F. , Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Volume 4224, p.1415-1423, (2006)
Replacement Strategies to Maintain Useful Diversity in Steady-State Genetic Algorithms, Lozano, M., Herrera F., and Cano J. R. , Proceedings of the 8th Online World Conference on Soft Computing in Industrial Applications, September, (2003)
Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels, Charte, F., Rivera-Rivas A. J., del Jesus M.J., and Herrera F. , Proceedings of 10th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2015), June, Volume 9121, Bilbao (Spain), p.489–501, (2015)
Servicios de información sobre la EPSJ basados en entornos de publicación, Parras-Gutiérrez, E., Rivas V. M., and del Jesus M.J. , Free Libre Open Source Systems International Conference, March, Jerez de la Frontera (Cádiz), p.67-82, (2007)
Statistical Comparisons by Means of Non-Parametric Tests: A Case Study on Genetic Based Machine Learning, García, S., Fernández A., Benítez A.D., and Herrera F. , Proceedings of the II Congreso Español de Informática (CEDI 2007). V Taller Nacional de Minería de Datos y Aprendizaje (TAMIDA), September, Zaragoza (Spain), p.95-104, (2007)
Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design, Parras-Gutiérrez, E., del Jesus M.J., Rivas V. M., and Merelo Juan J. , Proceedings of the 2008 Eighth International Conference on Hybrid Intelligent Systems (HIS), September, Barcelona (Spain), p.519-524, (2008)
An Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining, Cano, J. R., Herrera F., and Lozano M. , Proceedings of the 8th Online World Conference on Soft Computing in Industrial Applications, September, (2003)
A study on the Use of the Fuzzy Reasoning Method based on the Winning Rule Vs. Voting Procedure for Classification with Imbalanced Data Sets, Fernández, A., García S., del Jesus M.J., and Herrera F. , Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN), June, San Sebastián (Spain), p.375-382, (2007)
Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com, Carmona, C. J., Ramírez-Gallego S., Torres F., Bernal E., and del Jesus M.J. , 14th International Conference on Enterprise Information Systems (ICEIS), July, Wroclaw (Poland), p.239-244, (2012) PDF icon 2012 - ICEIS.pdf (1.85 MB)
Subgroup discovery in an e-learning usage study based on Moodle, Carmona, C. J., González P., del Jesus M.J., and Ventura S. , International Conference on EUropean Transnational Education (ICEUTE), October, Salamanca (Spain), p.26-31, (2011) PDF icon 2011 - ICEUTE.pdf (153.86 KB)
A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design, Parras-Gutiérrez, E., Rivas V. M., del Jesus M.J., and Merelo Juan J. , DCAI 2008: International Symposium on Distributed Computing and Artificial Intelligence, Salamanca, Volume 50/2009, p.663-671, (2008)
Symbpar vs Symbiotic_CHC_RBF: Diseñando redes de base radial de forma coevolutiva y paralela, García-Arenas, M., Parras-Gutiérrez E., and Rivas V. M. , VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), February, Málaga, p.231-238, (2009)
The L-Co-R Co-evolutionary Algorithm: A Comparative Analysis in Medium-term Time-series Forecasting Problems, Parras-Gutiérrez, E., Rivas V. M., and Merelo-Guervos J.J. , International Joint Conference on Computational Intelligence (IJCCI), Vilamoura, Algarve (Portugal), p.144-151, (2013)
Time Series forecasting: Automatic Determination of Lags and Radial Basis Neural Networks for a Changing Horizon Environment, Parras-Gutiérrez, E., and Rivas V. M. , 2010 IEEE World Congress on Computational Intelligence, July, Barcelona (Spain), p.4023-4029, (2010)
Un algoritmo memético para la selección de prototipos: Una propuesta eficiente para problemas de tamaño medio, García, S., Cano J. R., and Herrera F. , Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), Tenerife, (2007)
Un primer estudio sobre el uso de los sistemas de clasificación basados en reglas difusas en problemas de clasificación con clases no balanceadas, Fernández, A., García S., Herrera F., and del Jesus M.J. , Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), September, Ciudad Real (Spain), p.89-95, (2006)
Un Primer Estudio sobre la Utilización de Selección Evolutiva de Conjuntos de Entrenamiento en Problemas de Clasificación con Clases no Balanceadas y Árboles de Decisión, García, S., Fernández A., and Herrera F. , Proceedings of VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), February, Málaga (Spain), p.183-190, (2009)
Un sistema difuso evolutivo para la detección de excepciones en descubrimiento de subgrupos, Carmona, C. J., González P., and del Jesus M.J. , XV Conferencia de la Asociación Española para la Inteligencia Artificial, September, Madrid (Spain), p.1220-1229, (2013) PDF icon 2013 - LFSC.pdf (984.32 KB)
Una estrategia difusa para la aplicación de operadores en un algoritmo evolutivo, Rivera-Rivas, A. J., Rojas I., J. Lopera Ortega, and del Jesus M.J. , XII Congreso Español sobre Tecnologías y Lógica Fuzzy(ESTYLF), September, Jaén, p.593-598, (2004)
Una primera aproximación al descubrimiento de subgrupos bajo el paradigma MapReduce, Pulgar-Rubio, F., Carmona C. J., Rivera-Rivas A. J., González P., and del Jesus M.J. , 1er Workshop en Big Data y Análisis de Datos Escalable, p.991-1000, (2015) PDF icon 2015 - BD.pdf (374.17 KB)
Usando Algoritmos de Descubrimiento de Subgrupos en R: El Paquete SDR, García-Vico, A.M., Charte F., González P., Carmona C. J., and del Jesus M.J. , VII Simposio de Teoría y Aplicaciones de Minería de Datos, p.739-748, (2015) PDF icon 2015 - TAMIDA-b.pdf (335 KB)
Journal Article
On the 2-Tuples Based Genetic Tuning Performance for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets, Fernández, A., del Jesus M.J., and Herrera F. , Information Sciences, Volume 180, Number 8, p.1268-1291, (2010)
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions, García-Domingo, B., Carmona C. J., Rivera-Rivas A. J., del Jesus M.J., and Aguilera J. , Expert Systems with Applications, Volume 42, Number 13, p.5452–5462, (2015) PDF icon 2015-GarciaDomingo-ESWA.pdf (1.22 MB)
A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans, Carmona, C. J., Ruiz-Rodado V., del Jesus M.J., Weber A., Grootveld M., González P., and Elizondo D. , Information Sciences, Volume 298, p.180-197, (2015) PDF icon 2015-Carmona-INS.pdf (814.28 KB)
A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure, Cano, J. R., Cordón O., Herrera F., and Sánchez Luciano , Journal of Intelligent and Fuzzy Systems, Volume 12, Number 3-4, p.235–242, (2002)
A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets, Fernández, A., Carmona C. J., del Jesus M.J., and Herrera F. , International Journal of Neural Systems, Volume 27, Issue 6, p.1-17, (2017) PDF icon 2017-Fernandez-IJNS.pdf (683.56 KB)
A View on Fuzzy Systems for Big Data: Progress and Opportunities, Fernández, A., Carmona C. J., del Jesus M.J., and Herrera F. , International Journal of Computational Intelligence Systems, Volume 9, Number 1, p.69-80, (2016) PDF icon 2016-Fernandez-IJCIS.pdf (455.58 KB)
Adaptation and Application of Multi-Objective Evolutionary Algorithms for Rule Reduction and Parameter Tuning of Fuzzy Rule-Based Systems, Gacto, M. J., Alcalá R., and Herrera F. , Soft Computing, Volume 13, Number 5, p.419-436, (2009)
Addressing Data Complexity for Imbalanced Data Sets: Analysis of SMOTE-based Oversampling and Evolutionary Undersampling, Luengo, J., Fernández A., García S., and Herrera F. , Soft Computing, Volume 15, Number 10, p.1909-1936, (2011)
Addressing imbalance in multilabel classification: Measures and random resampling algorithms, Charte, F., Rivera-Rivas A. J., del Jesus M.J., and Herrera F. , Neurocomputing, Volume 163, p.3–16, (2015)
Addressing Imbalanced Classification with Instance Generation Techniques: IPADE-ID, López, V., Triguero I., Carmona C. J., García S., and Herrera F. , Neurocomputing, Volume 126, p.15-28, (2014) PDF icon 2014-Lopez-NEUROCOMPUTING.pdf (933.25 KB)
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental Analysis of Power, García, S., Fernández A., Luengo J., and Herrera F. , Information Sciences, Volume 180, p.2044–2064, (2010)
An Overview of Emerging Pattern Mining in Supervised Descriptive Rule Discovery: Taxonomy, Empirical Study, Trends and Prospects, García-Vico, A.M., Carmona C. J., Martín D., García-Borroto M., and del Jesus M. J. , WIREs Data Mining and Knowledge Discovery, (In Press)
Analysis of data complexity measures for classification, Cano, J. R. , Expert Systems with Applications, Volume 40, Number 12, p.4820–4831, (2013)
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics, López, V., Fernández A., Moreno-Torres J.G., and Herrera F. , Expert Systems with Applications, Volume 39, Number 7, p.6585-6608, (2012)
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery, Carmona, C. J., Luengo J., González P., and del Jesus M.J. , Expert Systems with Applications, Volume 39, p.11404-11412, (2012) PDF icon 2012-Carmona-ESWA-II.pdf (468.94 KB)
Analyzing the Reasoning Mechanisms in Fuzzy Rule-Based Classification Systems, Cordón, O., del Jesus M.J., and Herrera F. , Mathware & Soft Computing, Volume 5, p.321-332, (1999)
Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems, Chávez, F., Fernández A., Gacto M. J., and Alcalá R. , International Journal of Computational Intelligence Systems, Volume 5, Number 2, p.368-386, (2012)
CO2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market, Pérez-Godoy, M.D., Pérez P., Rivera-Rivas A. J., del Jesus M.J., Carmona C. J., Frías M.P., and Parras M. , International Journal of Hybrid Intelligent Systems, p.75-87, (2010) PDF icon 2010-Perez-Godoy-IJHIS.pdf (434.9 KB)
Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm, Parras-Gutiérrez, E., García-Arenas M., Rivas V. M., and del Jesus M.J. , Soft Computing, Volume 16, Number 6, p.919-942, (2012)
On the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining, Cano, J. R., Herrera F., and Lozano M. , Applied Soft Computing, Volume 6, p.323-332, (2006)
Comparison and Design of Interpretable Linguistic vs. Scatter FRBSs: GM3M Generalization and New Rule Meaning Index (RMI) for Global Assessment and Local Pseudo-Linguistic Representation, Galende, M., Gacto M. J., Sainz G., and Alcalá R. , Information Sciences, Volume 282, p.190–213, (2014)
Diagnose of Effective Evolutionary Prototype Selection using an Overlapping Measure, García, S., Cano J. R., Bernadó-Mansilla E., and Herrera F. , International Journal of Pattern Recognition and Artificial Intelligence, Volume 23, Number 8, p.1527-1548, (2009)
Enhancing the Effectiveness and Interpretability of Decision Tree and Rule Induction Classifiers with Evolutionary Training Set Selection over Imbalanced Problems, García, S., Fernández A., and Herrera F. , Applied Soft Computing, Volume 9, p.1304-1314, (2009)
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data, Romero, C., González P., Ventura S., del Jesus M.J., and Herrera F. , Expert Systems with Applications, Volume 36, p.1632-1644, (2009)
Evolutionary Fuzzy Rule Extraction for Subgroup Discovery in a Psychiatric Emergency Department, Carmona, C. J., González P., del Jesus M.J., Navío M., and Jiménez L. , Soft Computing, Volume 15, Number 12, p.2435-2448, (2011) PDF icon 2011-Carmona-SoCo.pdf (280.17 KB)
Evolutionary fuzzy rule induction process for subgroup discovery: a case study in marketing, del Jesus, M.J., González P., Herrera F., and Mesonero M. , IEEE Transactions on Fuzzy Systems, Volume 15, Number 4, p.578-592, (2007)
Evolutionary Selection of Hyperrectangles in Nested Generalized Exemplar Learning, García, S., Derrac J., Luengo J., Carmona C. J., and Herrera F. , Applied Soft Computing, Volume 11, Number 3, p.3032-3045, (2011) PDF icon 2011-Garcia-ASOC.pdf (2.07 MB)
Evolutionary Stratified Training Set Selection for Extracting Classification Rules with trade off Precision-Interpretability, Cano, J. R., Herrera F., and Lozano M. , Data & Knowledge Engineering, Volume 60, Number 1, p.90-108, (2007)
Evolutionary-Based Selection of Generalized Instances for Imbalanced Classification, García, S., Derrac J., Triguero I., Carmona C. J., and Herrera F. , Knowledge-Based Systems, Volume 25, Number 1, p.3-12, (2012) PDF icon 2012-Garcia-KBS.pdf (522.95 KB)
A Fast and Scalable Multi-Objective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems, Alcalá, R., Gacto M. J., and Herrera F. , IEEE Transactions on Fuzzy Systems, Volume 19, Number 4, p.666-681, (2011)
Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classi cation Systems for Highly Imbalanced Data-Sets, Villar, P., Fernández A., Carrasco R., and Herrera F. , International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Volume 20, Number 3, p.369-397, (2012)
Fuzzy Rules for Describing Subgroups from Influenza A Virus Using a Multi-objective Evolutionary Algorithm, Carmona, C. J., Chrysostomou C., Seker H., and del Jesus M.J. , Applied Soft Computing, Volume 13, p.3439-3448, (2013) PDF icon 2013-Carmona-ASOC.pdf (1000.39 KB)
Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process, Casillas, J., Cordón O., del Jesus M.J., and Herrera F. , Information Sciences, Volume 136, p.135-157, (2001)
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD, Carmona, C. J., González P., Gacto M. J., and del Jesus M.J. , International Journal of Computational Intelligence Systems, Volume 5, Number 2, p.355-367, (2012) PDF icon 2012-Carmona-IJCIS.pdf (747.67 KB)
Genetic Learning of Fuzzy Rule-Based Classification Systems Cooperating with Fuzzy Reasoning Methods, Cordón, O., del Jesus M.J., and Herrera F. , International Journal of Intelligent Systems, Volume 13, Number 10/11, p.1025-1053, (1998)
Genetic tuning of fuzzy rule deep structures preserving interpretability for linguistic modeling, Casillas, J., Cordón O., del Jesus M.J., and Herrera F. , IEEE Transactions on Fuzzy Systems, Volume 13, Number 1, p.13-29, (2005)
A Genetic Tuning to Improve the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of Ignorance and Lateral Position, Sanz, J., Fernández A., Bustince H., and Herrera F. , International Journal of Approximate Reasoning, Volume 52, Number 6, p.751-766, (2011)
Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy and Comparative Study, Fernández, A., Luengo J., García S., Bernadó-Mansilla E., and Herrera F. , IEEE Transactions on Evolutionary Computation, Volume 14, Number 6, p.913-941, (2010)
Hierarchical fuzzy rule based classfication systems with genetic rule selection for imbalanced data-sets, Fernández, A., del Jesus M.J., and Herrera F. , International Journal of Approximate Reasoning, Volume 50, p.561-577, (2009)
Hyperrectangles Selection for Monotonic Classification by Using Evolutionary Algorithms, García, Javier, Al-bar Adnan, Aljohani Naif R., Cano J. R., and García S. , International Journal Computational Intelligence Systems, Volume 9, Number 1, p.184–201, (2016)
IIVFDT: Ignorance Functions based Interval-Valued Fuzzy Decision Tree with Genetic Tuning. International Journal of Uncertainty, Sanz, J., Fernández A., and Bustince H. , International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, (2012)
Improvement of subgroup descriptions in noisy data by detecting exceptions, González, P., García-Vico A.M., Carmona C. J., and del Jesus M.J. , Progress in Artificial Intelligence, p.1-10, (In Press) PDF icon 2017-Gzlez-PRAI.pdf (371.57 KB)
Improving Fuzzy Logic Controllers Obtained by Experts: A Case Study in HVAC Systems, Alcalá, R., Alcalá-Fdez J., Gacto M. J., and Herrera F. , Applied Intelligence, Volume 31, Number 1, p.15-30, (2009)
Improving the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets and Genetic Amplitude Tuning, Sanz, J., Fernández A., Bustince H., and Herrera F. , Information Sciences, Volume 180, Number 19, p.3674-3685, (2010)
Induction of Fuzzy Rule Based Classifiers with Evolutionary Boosting Algorithms, del Jesus, M.J., Hoffmann F., Junco L., and Sánchez L. , IEEE Transactions on Fuzzy Systems, Volume 12, Number 3, p.296-308, (2004)
On the influence of an adaptive inference system in fuzzy rule-based classification sytems for imbalanced data-sets, Fernández, A., Herrera F., and del Jesus M.J. , Expert Systems with Applications, Volume 36, Number 6, p.9805-9812, (2009)
Integration of an Index to Preserve the Semantic Interpretability in the Multi-Objective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems, Gacto, M. J., Alcalá R., and Herrera F. , IEEE Transactions on Fuzzy Systems, Volume 18, Number 3, p.515-531, (2010)
Interpretability of Linguistic Fuzzy Rule-Based Systems: An Overview of Interpretability Measures, Gacto, M. J., Alcalá R., and Herrera F. , Information Sciences, Volume 181, Number 20, p.4340–4360, (2011)
KEEL: A Software Tool to Assess Evolutionary Algorithms for Data Mining Problems, Alcalá-Fdez, J., Sánchez L., García S., del Jesus M.J., Ventura S., Garrell J.M., Otero J., Romero C., Bacardit J., Rivas V. M., et al. , Soft Computing, Volume 13, Number 3, p.307-318, (2009)
KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework, Alcalá-Fdez, J., Fernández A., Luengo J., Derrac J., García S., Sánchez L., and Herrera F. , Journal of Multiple-Valued Logic and Soft Computing, Volume 17, Number 2-3, p.255-287, (2011)
Learning the Membership Function Contexts for Mining Fuzzy Association Rules by Using Genetic Algorithms, Alcalá-Fdez, J., Alcalá R., Gacto M. J., and Herrera F. , Fuzzy Sets and Systems, Volume 160, Number 7, p.905-921, (2009)
Linguistic Modeling with Hierarchical Systems of Weighted Linguistic Rules, Alcalá, R., Cano J. R., Cordón O., Herrera F., Villar P., and Zwir I. , International Journal of Approximate Reasoning, Volume 32, Number 2-3, p.187-215, (2003)
Making CN2-SD Subgroup Discovery Algorithm scalable to Large Size Data Sets using Instance Selection, Cano, J. R., Herrera F., Lozano M., and García S. , Expert Systems with Applications, Volume 35, p.1949-1965, (2008)
MEFASD-BD: Multi-Objective Evolutionary Algorithm for Subgroup Discovery in Big Data Environments - A MapReduce Solution, Pulgar-Rubio, F., Rivera-Rivas A.J., Pérez-Godoy M.D., González P., Carmona C. J., and del Jesus M.J. , Knowledge-Based Systems, Volume 117, Issue 1, p.70-78, (2017)
MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology, Carmona, C. J., González P., García-Domingo B., del Jesus M.J., and Aguilera J. , Knowledge-Based Systems, Volume 54, p.73-85, (2013) PDF icon 2013-Carmona-KBS.pdf (1.25 MB)
A memetic algorithm for Evolutionary Prototype Selection: A Scaling Up Approach, García, S., Cano J. R., and Herrera F. , Pattern Recognition, Volume 41, Number 8, p.2693-2709, (2008)
METSK-HDe: A Multiobjective Evolutionary Algorithm to learn accurate TSK-fuzzy Systems in High-Dimensional and Large-Scale Regression Problems, Gacto, M. J., Galende M., Alcalá R., and Herrera F. , Information Sciences, Volume 276, p.63–79, (2014) PDF icon 2014-MJGacto-METSK-HDe.pdf (792.59 KB)
Mining Fuzzy Association Rules from Low Quality Data, Palacios, A., Gacto M. J., and Alcalá-Fdez J. , Soft Computing, Volume 16, Number 5, p.883-901, (2012)
Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas, Cordón, O., del Jesus M.J., Herrera F., and Lozano M. , Revista Iberoamericana de Inteligencia Artificial, Volume 50, p.56-61, (1998)
MOGUL: A Methodology to Obtain Genetic fuzzy rule-based systems Ander the iterative rule Learning Approach, Cordón, O., del Jesus M.J., and Herrera F. , International Journal of Intelligent Systems, Volume 14, p.1123-1153, (1999)
MoNGEL: monotonic nested generalized exemplar learning, García, J., Fardoun Habib M., Alghazzawi Daniyal M., Cano J. R., and García S. , Pattern Analysis and Applications, p.1–12, (2015)
A Multi-Objective Evolutionary Algorithm for an Effective Tuning of Fuzzy Logic Controllers in Heating, Ventilating and Air Conditioning Systems, Gacto, M. J., Alcalá R., and Herrera F. , Applied Intelligence, Volume 36, Number 2, p.330-347, (2012)
A Multi-objectiveGenetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems, Alcalá, R., Gacto M. J., Herrera F., and Alcalá-Fdez J. , International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Volume 15, Number 5, p.539–557, (2007)
NMEEF-SD: Non-dominated Multi-objective Evolutionary algorithm for Extracting Fuzzy rules in Subgroup Discovery, Carmona, C. J., González P., del Jesus M.J., and Herrera F. , IEEE Transactions on Fuzzy Systems, Volume 18, Number 5, p.958-970, (2010) PDF icon 2010-Carmona-TFS.pdf (457.11 KB)
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms, Carmona, C. J., González P., del Jesus M.J., and Herrera F. , WIREs Data Mining and Knowledge Discovery, Volume 4, Number 2, p.87-103, (2014) PDF icon 2014-Carmona-WIRE-DMKD.pdf (956.83 KB)
An overview on Subgroup Discovery: Foundations and Applications, Herrera, F., Carmona C. J., González P., and del Jesus M.J. , Knowledge and Information Systems, Volume 29, Number 3, p.495-525, (2011) PDF icon 2011-Herrera-KAIS.pdf (553.73 KB)
Predictive-collaborative model as recovery and validation tool. Case of study: Psychiatric emergency department decision support, Cano, J. R. , Expert Systems with Applications, Volume 39, Number 4, p.4044–4048, (2012)
A proposal on Reasoning Methods in Fuzzy Rule-Based Classification Systems, Cordón, O., del Jesus M.J., and Herrera F. , International Journal of Approximate Reasoning, Volume 20, p.21-45, (1999)
Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study, García, S., Derrac Joaquín, Cano J. R., and Herrera F. , IEEE Transactions Pattern Analysis and Machiche Intelligence, Volume 34, Number 3, p.417–435, (2012)
Replacement strategies to preserve useful diversity in steady-state genetic algorithms, Lozano, Manuel, Cano J. R., and Herrera F. , Information Sciences, Volume 178, Number 23, p.4421–4433, (2008)
Replacement Strategies to Preserve Useful Diversity in Steady-State Genetic Algorithms, Lozano, M., Herrera F., and Cano J. R. , Information Sciences, (2012)
A Review on Ensembles for Class Imbalance Problem: Bagging, Boosting and Hybrid Based Approaches, Galar, M., Fernández A., Barrenechea E., Bustince H., and Herrera F. , IEEE Transactions on System, Man and Cybernetics - Part C: Applications and Reviews, Volume 42, Number 4, p.463-484, (2012)
Rule Base Reduction and Genetic Tuning of Fuzzy Systems based on the Linguistic 3-Tuples Representation, Alcalá, R., Alcalá-Fdez J., Gacto M. J., and Herrera F. , Soft Computing, Volume 11, Number 5, p.401-419, (2007)
Short, medium and long term forecasting of time series using the L-Co-R algorithm, Parras-Gutiérrez, E., Rivas V. M., Arenas M.G., and del Jesus M.J. , Neurocomputing, Volume 128, p.433-446, (2014)
Solving Multi-Class Problems with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning and Preference Relations, Fernández, A., Calderón M., Barrenechea E., Bustince H., and Herrera F. , Fuzzy Sets and Systems, Volume 161, Number 23, p.3064-3080, (2010)
Some Relationships between fuzzy and random set-based classifiers and models, Sánchez, L., Casillas J., Cordón O., del Jesus M.J., and Herrera F. , International Journal of Approximate Reasoning, Volume 29, p.175-213, (2002)
Stratification for Scaling Up Evolutionary Prototype Selection, Cano, J. R., Herrera F., and Lozano M. , Pattern Recognition Letters, Volume 26, p.953-963, (2005)
A Study of the Behaviour of Linguistic Fuzzy Rule Based Classification Systems in the Framework of Imbalanced Data Sets, Fernández, A., García S., del Jesus M.J., and Herrera F. , Fuzzy Sets and Systems, Volume 159, Number 18, p.2378-2398, (2008)
Study of the robustness of a meta-algorithm for the estimation of parameters in Radial Basis Function Neural Networks design, Parras-Gutiérrez, E., Rivas V. M., del Jesus M.J., and Merelo Juan J. , Neural Network World, Volume 19, Number 1, p.81-94, (2009)
Subgroup Discovery in Large Size Data Sets Preprocessed Using Stratified Instance Selection for Increasing the Presence of Minority Classes, Cano, J. R., García S., and Herrera F. , Pattern Recognition Letters, Volume 29, p.2156-2164, (2008)
Subgroup Discovery with Evolutionary Fuzzy Systems in R: the SDEFSR Package, García-Vico, A.M., Charte F., González P., Carmona C. J., and del Jesus M.J. , The R Journal, Volume 8, Issue 2, p.307-323, (2016) PDF icon 2016-Garcia-RJournal.pdf (2.56 MB)
The Influence of Noise on the Evolutionary Fuzzy Systems for Subgroup Discovery, Luengo, J., García-Vico A.M., Pérez-Godoy M.D., and Carmona C. J. , Soft Computing, Volume 20, Issue 11, p.4313-4330, (2016) PDF icon 2016-Luengo-NoiseSD.pdf (972.31 KB)
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets, Pérez-Godoy, M.D., Rivera-Rivas A. J., Carmona C. J., and del Jesus M.J. , Applied Soft Computing, Volume 25, p.26-39, (2014) PDF icon 2014-Perez-ASOC.pdf (926.82 KB)
Using Evolutionary Algorithms as Instance Selection for Data Reduction in KDD: an Experimental Study, Cano, J. R., Herrera F., and Lozano M. , IEEE Transactions on Evolutionary Computation, Volume 7, Number 6, p.561-575, (2003)
Web usage mining to improve the design of an e-commerce website: OrOliveSur.com, Carmona, C. J., Ramírez-Gallego S., Torres F., Bernal E., and del Jesus M.J. , Expert Systems with Applications, Volume 39, p.11243-11249, (2012) PDF icon 2012-Carmona-ESWA-I.pdf (907.1 KB)
Thesis
Aprendizaje de Sistemas Basados en Reglas Difusas Compactos y Precisos con Programación Genética, Berlanga, F. J. , June, (2010)
Aprendizaje Evolutivo de Reglas Difusas para Descripción de Subgrupos, González, P. , January, (2008)
Métodos híbridos evolutivos cooperativos-competitivos de diseño de Redes de Funciones de Base Radial, Pérez-Godoy, M.D. , April, (2010)
New Developments in 1H NMR-linked Metabolomics: Identification of New Biomarkers for the Metabolomic Classification of Niemann-Pick Disease, Type C1, and its Response to Treatment, Ruiz-Rodado, V., Carmona C. J., Grootveld M., and Elizondo D. , Leicester, United Kingdom, (2016)
Optimización Evolutiva Multi-Objetivo de Medidas de Complejidad e Interpretabilidad Semántica para Sistemas Basados en Reglas Lingüísticas, Gacto, M. J. , November, (2010)
Redes neuronales coevolutivas aplicadas a la resolución de problemas de series temporales, Parras-Gutiérrez, E. , December, (2011)
Reducción de Datos basada en Selección Evolutiva de Instancias para Minería de Datos, Cano, J. R. , October, (2004)
Sistemas de Clasificación Basados en Reglas Difusas Lingüísticas Aplicadas a Problemas con Clases No Balanceadas, Fernández, A. , March, (2010)
Sistemas Difusos Evolutivos para la Obtención de Modelos Descriptivos mediante Aprendizaje Supervisado, Carmona, C. J., González P., and del Jesus M.J. , September, (2011)