Publicaciones

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Conference Paper
A Preliminary Study on Mutation Operators in Cooperative Competitive Algorithms for RBFN Design, Pérez-Godoy, M.D., Rivera 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, 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)
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design, López, P.L., Rivera 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)
Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach, Carmona, C. J., Pulgar-Rubio F., Rivera 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 las Fases de un Algoritmo de Optimización para Redes de Funciones de Base Radial, Rivera, A. J., Rojas I., and J. Lopera Ortega , Actas del Simposio de Inteligencia Computacional (SICO), September, Granada. Spain, p.237-244, (2005)
Improving Multi-label Classifiers via Label Reduction with Association Rules, Charte, F., Rivera A. J., del Jesus M. J., and Herrera F. , 7th International Conference (HAIS), March, Volume II, Salamanca (Spain), p.188-199, (2012)
Mejoras en el Diseño Multiobjetivo de Redes de Funciones de Base Radial, López, P. L., Rivera 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)
MLeNN: A First Approach to Heuristic Multilabel Undersampling, Charte, F., Rivera 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)
Optimización de redes de RBFs mediante cooperación-competición de neuronas y algoritmos de minimización de error, Rivera, A. J., Rojas I., J. Lopera Ortega, and del Jesus M. J. , MAEB, February, p.499-508, (2003)
Predicción de series temporales mediante la coevolución de funciones base, Rivera, A. J., Rojas I., and J. Lopera Ortega , Tercer Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados MAEB, February, p.585-592, (2004)
Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels, Charte, F., Rivera 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)
Una estrategia difusa para la aplicación de operadores en un algoritmo evolutivo, Rivera, 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 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)
Journal Article
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions, García-Domingo, B., Carmona C. J., Rivera 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)
Addressing imbalance in multilabel classification: Measures and random resampling algorithms, Charte, F., Rivera A. J., del Jesus M. J., and Herrera F. , Neurocomputing, Volume 163, p.3–16, (2015)
CO2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market, Pérez-Godoy, M.D., Pérez P., Rivera 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)
Dealing with difficult minority labels in imbalanced mutilabel data sets, Charte, F., Rivera A. J., del Jesus M. J., and Herrera F. , Neurocomputing, Volume 326, p.39–53, (2019)
MEFASD-BD: Multi-Objective Evolutionary Algorithm for Subgroup Discovery in Big Data Environments - A MapReduce Solution, Pulgar-Rubio, F., Rivera A. J., Pérez-Godoy M.D., González P., Carmona C. J., and del Jesus M. J. , Knowledge-Based Systems, Volume 117, p.70-78, (2017)
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization, Charte, F., Rivera A. J., del Jesus M. J., and Herrera F. , Neurocomputing, Volume 326, p.110–122, (2019)
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets {R} package and the {Cometa} data repository, Charte, F., Rivera A. J., Charte D., del Jesus M. J., and Herrera F. , Neurocomputing, Volume 289, p.68–85, (2018)
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets, Pérez-Godoy, M.D., Rivera 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)