Publicaciones
2016
Espinilla, M. ., Rivera Rivas, A. J. ., Pérez Godoy, M. D. . ., Medina, J. ., Martínez, L. ., & Nugent, C. . (2016). Recognition of Activities in Resource Constrained Environments; Reducing the Computational Complexity (C. R. García, P. . Caballero-Gil, M. . Burmester, & A. . Quesada-Arencibia, Eds.). Cham: Springer International Publishing.
Moyano, J. ., & Sánchez, L. . (2016). RKEEL: Using KEEL in R code. 257-264. https://doi.org/10.1109/FUZZ-IEEE.2016.7737695 (Original work published)
García-Vico, Ángel M. ., Charte Ojeda, F. ., González García, P. ., Carmona del Jesus, C. J. ., & del Jesus, M. J. . (2016). Subgroup Discovery with Evolutionary Fuzzy Systems in R: the SDEFSR Package. The R Journal, 8, 307-323.
TIN2015-68854-R
Luengo, J. ., García-Vico, Ángel M. ., Pérez Godoy, M. D. . ., & Carmona del Jesus, C. J. . (2016). The Influence of Noise on the Evolutionary Fuzzy Systems for Subgroup Discovery. Soft Computing, 20, 4313-4330. https://doi.org/10.1007/s00500-016-2300-1
TIN2015-68454-R, TIN2014-57251-P, P11-TIC-7765, P12-TIC-2958
Rivas, V. M., Parras Gutiérrez, E. . ., Merelo, J. J., Arenas, M. G., & Garcia-Fernandez, P. . (2016). Web Browser-Based Forecasting of Economic Time-Series (E. . Bucciarelli, M. . Silvestri, & S. R. González, Eds.). Cham: Springer International Publishing.
2015
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus, M. J. ., & Herrera Triguero, F. . (2015). MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. Knowledge-Based Systems, 89, 385-397. https://doi.org/10.1016/j.knosys.2015.07.019
TIN2012-33856,TIN2011-28488,P10-TIC-6858,P11-TIC-7765
García, J. ., Fardoun, H. M., Alghazzawi, D. M., Cano De Amo, J. R. . ., & García López, S. . (2015). MoNGEL: monotonic nested generalized exemplar learning. Pattern Analysis and Applications, 1-12. https://doi.org/10.1007/s10044-015-0506-y
Sánchez, L. ., Couso, I. ., & Blanco, C. . (2015). Online SOC estimation of Li-FePO4 batteries through an observer of the system state with minimal nonspecificity. 1-8. https://doi.org/10.1109/FUZZ-IEEE.2015.7337901 (Original work published)
Rivas, V. M., Parras Gutiérrez, E. . ., Fernandez-Ares, a. ., Castillo, P. ., Garcia-Fernandez, P. ., & Arenas, M. . (2015). Predicción a muy corto plazo de series temporales de volumen de tráfico rodado mediante co-evolución de RNFBR. 181-188. Mérida - Almendralejo (Spain).
SPIP2014-01437,PRY142/14,TIN2011-28627-C04,PYR-2014-17,SIPEsCa del Programa Operativo FEDER de Andaluc{ía 2007-2013
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus, M. J. ., & Herrera Triguero, F. . (2015). QUINTA: A question tagging assistant to improve the answering ratio in electronic forums. 1-6. Salamanca (Spain). https://doi.org/10.1109/EUROCON.2015.7313677 (Original work published)
TIN2014-57251-P,TIN2012-33856,P10-TIC-06858,P11-TIC-7765
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus, M. J. ., & Herrera Triguero, F. . (2015). Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels. 489-501. Bilbao (Spain). https://doi.org/10.1007/978-3-319-19644-2_41 (Original work published)
TIN2011-28488,TIN2012-33856,P10-TIC-06858,P11-TIC-7765
Fernández, A. ., López, V. ., del Jesus, M. J. ., & Herrera Triguero, F. . (2015). Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges. Knowledge-Based Systems, 80, 109-121. https://doi.org/10.1016/j.knosys.2015.01.013
25th anniversary of Knowledge-Based Systems
Palacios, A. M., Martínez, A. ., Sánchez, L. ., & Couso, I. . (2015). Sequential pattern mining applied to aeroengine condition monitoring with uncertain health data. Engineering Applications of Artificial Intelligence, 44, 10-24. https://doi.org/10.1016/j.engappai.2015.05.003
Couso, I. ., Moral, S. ., & Sánchez, L. . (2015). The behavioral meaning of the median. Information Sciences, 294, 127-138. https://doi.org/10.1016/j.ins.2014.08.049
Innovative Applications of Artificial Neural Networks in Engineering
Rubio, F. J. . P., Carmona del Jesus, C. J. ., Rivera Rivas, A. J. ., González García, P. ., & del Jesus, M. J. . (2015). Una primera aproximación al descubrimiento de subgrupos bajo el paradigma MapReduce. 991-1000.
TIN2012-33856
García-Vico, Ángel M. ., Charte Ojeda, F. ., González García, P. ., Carmona del Jesus, C. J. ., & del Jesus, M. J. . (2015). Usando Algoritmos de Descubrimiento de Subgrupos en R: El Paquete SDR. 739-748.
TIN2012-33856
Charte Ojeda, F. ., & Charte, D. ". (2015). Working with Multilabel Datasets in R: The mldr Package. The R Journal, 7, 149-162. https://doi.org/10.32614/RJ-2015-027
TIN2012-33856
Charte Ojeda, F. . (2015). Nuevos métodos de computación flexible para clasificación multietiqueta (Universidad de Jaén; p. 275). Universidad de Jaén, Jaén. Recuperado de https://fcharte.com/assets/pdfs/PhdThesis-CharteFco.pdf
Tesis doctoral en el Programa Oficial de Doctorado en Tecnologías de la Información y la Comunicación
Carmona del Jesus, C. J. ., & Elizondo, D. . (2015). Subgroup Discovery through Evolutionary Fuzzy Systems applied to Bioinformatics problems. Leicester, United Kingdom: De Montfort University.
García-Domingo, B. ., Carmona del Jesus, C. J. ., Rivera Rivas, A. J. ., del Jesus, M. J. ., & García, J. J. . A. (2015). A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions. Expert Systems With Applications, 42, 5452-5462. https://doi.org/10.1016/j.eswa.2015.02.032
ENE2009-08302, P09-TEP-5045, TIN2012-33856
Carmona del Jesus, C. J. ., & Luengo, J. . (2015). A first approach in the class noise filtering approaches for Fuzzy Subgroup Discovery. Springer.
TIN2012-33856, TIN2011-28488, TIN2010-15055, P10-TIC-6858, P12-TIC-2958
Carmona del Jesus, C. J. ., Ruiz-Rodado, V. ., del Jesus, M. J. ., Weber, A. ., Grootveld, M. ., González García, P. ., & Elizondo, D. . (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. Information Sciences, 298, 180-197. https://doi.org/10.1016/j.ins.2014.11.030
TIN2012-33856
Cocaña-Fernández, A. ., Sánchez, L. ., & Ranilla, J. . (2015). A software tool to efficiently manage the energy consumption of HPC clusters. 1-8. https://doi.org/10.1109/FUZZ-IEEE.2015.7338079 (Original work published 2024)
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus, M. J. ., & Herrera Triguero, F. . (2015). Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing, 163, 3-16. https://doi.org/10.1016/j.neucom.2014.08.091
TIN2012-33856,TIN2011-28488,P10-TIC-6858,P11-TIC-7765
Fernández, A. ., del Jesus, M. J. ., & Herrera Triguero, F. . (2015). Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection (K. . Jackowski, R. . Burduk, K. . Walkowiak, M. . Woźniak, & H. . Yin, Eds.). Cham: Springer International Publishing.
Rivera Rivas, A. J. ., Pérez Godoy, M. D. . ., Charte Ojeda, F. ., Rubio, F. J. . P., & del Jesus, M. J. . (2015). An ensemble strategy for forecasting the extra-virgin olive oil price in Spain. 506-516. Granada (Spain). (Original work published)
TIN2012-33856
Carmona del Jesus, C. J. ., Rubio, F. J. . P., García-Vico, Ángel M. ., González García, P. ., & del Jesus, M. J. . (2015). Análisis descriptivo mediante aprendizaje supervisado basado en patrones emergentes. 685-694.
TIN2012-33856
Pérez Godoy, M. D. . ., Rivera Rivas, A. J. ., Charte Ojeda, F. ., & del Jesus, M. J. . (2015). CO2RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design. 361-373. Palma de Mallorca (Spain). https://doi.org/10.1007/978-3-319-19258-1_31 (Original work published)
TIN2012-33856
Cocaña-Fernández, A. ., Sánchez, L. ., Ranilla, J. ., Gil-Pita, R. ., & Ayllón, D. . (2015). Energy-Efficient Sound Environment Classifier for Hearing Aids Based on Multi-objective Simulated Annealing Programming (álvaro . Herrero, J. . Sedano, B. . Baruque, H. . Quintián, & E. . Corchado, Eds.). Cham: Springer International Publishing.
Carmona del Jesus, C. J. ., González García, P. ., & del Jesus, M. J. . (2015). FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery. 1-8.
TIN2012-33856
Couso, I. ., & Sánchez, L. . (2015). Generalized stochastic orderings applied to the study of perfomance of machine learning algorithm. Presentado en. Gijón, Asturias(Spain). (Original work published)
Palacios, A. M., Palacios, J. L., Sánchez, L. ., & Alcala-Fdez, J. . (2015). Genetic learning of the membership functions for mining fuzzy association rules from low quality data. Information Sciences, 295, 358-378. https://doi.org/10.1016/j.ins.2014.10.027
Otero, J. ., & Sánchez, L. . (2015). Local iterative DLT soft-computing vs. interval-valued stereo calibration and triangulation with uncertainty bounding in 3D reconstruction. Neurocomputing, 167, 44-51. https://doi.org/10.1016/j.neucom.2014.11.087
Charte, D. ", & Charte Ojeda, F. . (2015). mldr: Paquete R para Exploración de Datos Multietiqueta. 695-704. Albacete (Spain). (Original work published)
TIN2012-33856,P10-TIC-06858,P11-TIC-9704
2014
López, V. ., Triguero, I. ., Carmona del Jesus, C. J. ., García López, S. ., & Herrera Triguero, F. . (2014). Addressing Imbalanced Classification with Instance Generation Techniques: IPADE-ID. Neurocomputing, 126, 15-28. https://doi.org/10.1016/j.neucom.2013.01.050
TIN2011-28488,P11-TIC-7765,P10-TIC-6858
del Jesus, M. J. ., Martínez, F. ., Pérez Godoy, M. D. . ., Rivera Rivas, A. J. ., & Frías Bustamante, M. del P. . (2014). An ensemble method for time series forecasting with simple exponential smoothing. Presentado en. Rota, Cádiz (Spain). (Original work published)
Blanco, C. ., Sánchez, L. ., Gonzalez, M. ., Antón, J. C., Fernández, V. G., & Viera, J. . (2014). An Equivalent Circuit Model With Variable Effective Capacity for LiFePO4 Batteries. IEEE Transactions on Vehicular Technology, 63, 3592-3599. https://doi.org/10.1109/TVT.2014.2309394 (Original work published)
Otero, J. ., Sánchez, L. ., Couso, I. ., & Palacios, A. M. (2014). Bootstrap analysis of multiple repetitions of experiments using an interval-valued multiple comparison procedure. Journal of Computer and System Sciences, 80, 88-100. https://doi.org/10.1016/j.jcss.2013.03.009
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus, M. J. ., & Herrera Triguero, F. . (2014). Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms. 110-121. Salamanca (Spain). https://doi.org/10.1007/978-3-319-07617-1_10 (Original work published)
TIN2011-28488,TIN2012-33856,P10-TIC-06858,P11-TIC-9704
Couso, I. ., & Sánchez, L. . (2014). Harnessing the information contained in low-quality data sources. Int. J. Approx. Reasoning, 55, 1485-1486.
Martínez, A. ., Sánchez, L. ., & Couso, I. . (2014). Interval-valued Blind Source Separation Applied to AI-based Prognostic Fault Detection of Aircraft Engines. Journal of Multiple-Valued Logic and Soft Computing, 22, 151-166. (Original work published)
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus, M. J. ., & Herrera Triguero, F. . (2014). LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification. IEEE Transactions on Neural Networks and Learning Systems, 25, 1842-1854. https://doi.org/10.1109/TNNLS.2013.2296501
TIN2012-33856,TIN2011-28488,TIC-3928,P10-TIC-6858
Gacto, M. J., Galende, M. ., Alcalá, R. ., & Herrera Triguero, F. . (2014). METSK-HDe: A Multiobjective Evolutionary Algorithm to learn accurate TSK-fuzzy Systems in High-Dimensional and Large-Scale Regression Problems. Information Sciences, 276, 63-79. https://doi.org/10.1016/j.ins.2014.02.047
P10-TIC-6858,TIN2011-28488, DPI2012-39381-C02-02,TIN2012-33856
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus, M. J. ., & Herrera Triguero, F. . (2014). MLeNN: A First Approach to Heuristic Multilabel Undersampling. 1-9. Salamanca (Spain). https://doi.org/10.1007/978-3-319-10840-7_1 (Original work published)
TIN2011-28488,TIN2012-33856,P10-TIC-06858,P11-TIC-9704
Otero, J. ., Suárez, R. ., & Sánchez, L. . (2014). Mutual Information-Based Feature Selection in Fuzzy Databases Applied to Searching for the Best Code Metrics in Automatic Grading (M. . Polycarpou, A. C. P. L. F. de Carvalho, J.-S. . Pan, M. . Woźniak, H. . Quintián, & E. . Corchado, Eds.). Cham: Springer International Publishing.
Rivera Rivas, A. J. ., Espinilla, M. ., Fernández Hilario, A. L. . ., López, J. S., & Charte Ojeda, F. . (2014). Propuesta de una asignatura de Diseño de Servidores para la especialidad de Tecnologías de Información. Enseñanza Y Aprendizaje De ingeniería De Computadores. Revista De Experiencias Docentes En ingeniería De Computadores, 4, 15-24.
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Otero, J. ., Suárez, M. D. R., Palacios, A. M., Couso, I. ., & Sánchez, L. . (2014). 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 (C. . Cornelis, M. . Kryszkiewicz, D. . Ślȩzak, E. M. Ruiz, R. . Bello, & L. . Shang, Eds.). Cham: Springer International Publishing.
Parras Gutiérrez, E. . ., Rivas, V. M., Arenas, M. ., & del Jesus, M. J. . (2014). Short, medium and long term forecasting of time series using the L-Co-R algorithm. Neurocomputing, 128, 433-446. https://doi.org/10.1016/j.neucom.2013.08.023
TIC-3928,TIN2012-33856,TIN2011-28627-C02
Palacios, A. M., & Sánchez, L. . (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. 2133-2140. https://doi.org/10.1109/FUZZ-IEEE.2014.6891710 (Original work published)
Couso, I. ., Garrido, L. ., & Sánchez, L. . (2014). The notion of roughness of a fuzzy set. Fuzzy Sets and Systems, 249, 114-127. https://doi.org/10.1016/j.fss.2014.02.013
Theme: Automata Theory and Algebra