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Descubrimiento de subgrupos aplicado al portal de comercio electrónico: OrOliveSur.com, Carmona, C. J., del Jesus M. J., and García S. , Jaén, España, p.1-16, (2013)

TR-SD-OrOliveSur.pdf (634.62 KB)

Journal Article

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)

2012-Carmona-ESWA-I.pdf (907.1 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)

2014-Perez-ASOC.pdf (926.82 KB)

Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository, Charte, Francisco, Rivera-Rivas A.J., Charte David, del Jesus M. J., and Herrera F. , Neurocomputing, Volume 289, p.68–85, (2018)

2018-Neucom-TipsMLCCometa-compressed.pdf (1017.86 KB)

Subgroup Discovery with Evolutionary Fuzzy Systems in R: the SDEFSR Package, García-Vico, A.M., Charte Francisco, González P., Carmona C. J., and del Jesus M. J. , The R Journal, Volume 8, Issue 2, p.307-323, (2016)

2016-Garcia-RJournal.pdf (2.56 MB)

Subgroup Discovery on Multiple Instance Data, Luna, J. M., Carmona C. J., García-Vico A.M., del Jesus M. J., and Ventura S. , International Journal of Computational Intelligence Systems, 12/2019, Volume 12, Issue 2, p.1602-1612, (2019)

125927212.pdf (1.91 MB)

Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments, García-Vico, A.M., González P., Carmona C. J., and del Jesus M. J. , Big Data Analytics, Volume 4, Number 1, p.1, (2019)

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)

Special issue on genetic fuzzy systems and the interpretability-accuracy trade-off, Casillas, J., Herrera F., Pérez F.G.R., del Jesus M. J., and Villar P. , International Journal of Approximate Reasoning, Volume 44, p.1-3, (2007)

Some relationships between fuzzy and random set-based classifiers and models, Sánchez, Luciano, Casillas Jorge, Cordón O., and del Jesus M. J. , International Journal of Approximate Reasoning, Volume 29, Number 2, p.175 - 213, (2002)

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)

Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges, Fernandez, Alberto, López Victoria, del Jesus M. J., and Herrera F. , Knowledge-Based Systems, Volume 80, p.109 - 121, (2015)

REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization, Charte, Francisco, Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , Neurocomputing, Volume 326, p.110–122, (2019)

2019-NeucomRemedial-HwR.pdf (2.83 MB)

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)

2014-Carmona-WIRE-DMKD.pdf (958.42 KB)

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)

On the discovery of association rules by means of evolutionary algorithms, del Jesus, M. J., Gámez José, González P., and Puerta Jose , Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery, 09, Volume 1, Number 5, p.397-415, (2011)

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)

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)

2010-Carmona-TFS.pdf (457.11 KB)

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)

MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns, García-Vico, A.M., Carmona C. J., González P., and del Jesus M. J. , IEEE Transaction on Fuzzy Systems, Volume 26, Issue 5, p.2861-2872, (2018)

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)

MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation, Charte, Francisco, Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , Knowledge-Based Systems, Volume 89, p.385–397, (2015)

2015-KBS-MLSMOTE.pdf (1.56 MB)

Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming, Luna, J. M., Pechenizkiy M., del Jesus M. J., and Ventura S. , IEEE Transactions on Cybernetics, Nov, Volume 48, Number 11, p.3030-3044, (2018)

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)

2013-Carmona-KBS.pdf (1.25 MB)

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, p.70-78, (2017)

LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification, Charte, Francisco, Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , IEEE Transactions on Neural Networks and Learning Systems, Volume 25, Number 10, p.1842-1854, (2014)

2014-TNNLS-LI-MLC.pdf (1.85 MB)

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 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining., Triguero, I., Gonzalez S., Moyano J.M., García S., Alcalá-Fdez J., Luengo J., Fernández A., del Jesus M. J., Sánchez L., Herrera F., et al. , International Journal of Computational Intelligence Systems, Volume 10, Number 1, p.1238-1249, (2017)

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)

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, Volume 7, Issue 1, p.55-64, (2018)

2017-Gzlez-PRAI.pdf (371.57 KB)

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)

GP-COACH: Genetic Programming-based learning of Compact and ACcurate fuzzy rule-based classification systems for High-dimensional problems, Berlanga, F.J., Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , Information Sciences, Volume 180, Number 8, p.1183 - 1200, (2010)

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)

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 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)

2012-Carmona-IJCIS.pdf (747.67 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 feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems, Casillas, J, Cordón O., del Jesus M. J., and Herrera F. , Information Sciences, Volume 136, Number 1, p.135 - 157, (2001)

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)

2013-Carmona-ASOC.pdf (1000.39 KB)

FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams, García-Vico, A.M., Carmona C. J., González P., Seker H., and del Jesus M. J. , IEEE Transactions on Fuzzy Systems, 12/2020, Volume 28, Issue 12, p. 3193-3203, (2020)

09088291.pdf (1.29 MB)

Evolutionary Fuzzy Sistems for Explainable Artificial Intelligence: Why, When, What for, and Where to ?, Fernández, A., del Jesus M. J., Cordón O., Marcelloni F., and Herrera F. , IEEE Computational Intelligence, Volume 1, Number 14, p.69-81, (2019)

08610271.pdf (1.09 MB)

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 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)

2011-Carmona-SoCo.pdf (280.17 KB)

Evolutionary and metaheuristics based data mining, del Jesus, M. J., Gámez J.A., and Puerta J.M. , Soft Computing: a fusion of methodologies and applications, Volume 13, p.209-212, (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)

EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search, Charte, Francisco, Rivera-Rivas A.J., Martínez Francisco, and del Jesus M. J. , Integrated Computer-Aided Engineering, 05/2020, Volume 27, Number 3, p.211-231, (2020)

FCharte-EvoAAAOpen.pdf (820.83 KB)

Dealing with difficult minority labels in imbalanced mutilabel data sets, Charte, Francisco, Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , Neurocomputing, Volume 326, p.39–53, (2019)

2019-NeucomDealingDifficultLabels.pdf (4.77 MB)

Comparison of response surface methodology and artificial neural network applied to enzymatic hydrolysis of rapeseed straw, Castro, E., Cara C., del Jesus M. J., and Rivas V. M. , Journal of Biotechnology, Volume 150, p.137, (2010)

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)

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)

2010-Perez-Godoy-IJHIS.pdf (434.9 KB)

CO2RBFN: An evolutionary cooperative-competitive RBFN design algorithm for classification problems, Pérez-Godoy, M.D., Rivas Antonio Rivera, Berlanga Francisco J., and del Jesus M. J. , Soft Computing, 07, Volume 14, p.953-971, (2009)

ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders, Pulgar, Francisco J., Charte Francisco, Rivera-Rivas A.J., and del Jesus M. J. , Information Sciences, Volume 565, p.146-176, (2021)

1-s2.0-S0020025521002024-main.pdf (1.79 MB)

Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines, Pulgar, Francisco J., Charte Francisco, Rivera-Rivas A.J., and del Jesus M. J. , Information Fusion, 02/2020, Volume 54, p.44-60, (2020)

1-s2.0-S1566253519300880-main.pdf (895.14 KB)

Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks, Rivas, Antonio Rivera, García-Domingo B., del Jesus M. J., and Aguilera J. , Expert Systems with Applications, 04, Volume 40, Number 05, p.1599–1608, (2013)

Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks, Fernández, Alberto, del Río Sara, López Victoria, Bawakid Abdullah, del Jesus M. J., Benitez Jose M., and Herrera F. , WIREs Data Mining and Knowledge Discovery, Volume 4, Number 5, p.380-409, (2014)

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)

Analyzing the Reasoning Mechanism in Fuzzy Rule-Based Classification Systems, Cordón, O., del Jesus M. J., and Herrera F. , Mathware & Soft Computing, Volume 5, p.321-332, (1998)

Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets, Pérez-Godoy, M.D., Fernández Alberto, Rivas Antonio Rivera, and del Jesus M. J. , Pattern Recognition Letters, 11, Volume 31, Number 15, p.2375-2388, (2010)

Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches, Fernandez, Alberto, López Victoria, Galar Mikel, del Jesus M. J., Herrera F., and BV ELSEVIER S. C. I. E. N. C. E. , Knowledge-Based Systems, Volume 42, p.97 - 110, (2013)

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)

2011-Herrera-KAIS.pdf (553.73 KB)

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, Volume 8, Issue 1, (2018)

2018-Garcia-Wiley.pdf (728.97 KB)

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)

2012-Carmona-ESWA-II.pdf (468.94 KB)

An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges, Charte, David, Charte Francisco, del Jesus M. J., and Herrera F. , Neurocomputing, Volume 404, p.93-107, (2020)

1-s2.0-S092523122030624X-main.pdf (0 bytes)

An analysis of technological frameworks for data streams, Puentes, F., Pérez-Godoy M.D., González P., and del Jesus M. J. , Progress in Artificial Intelligence, 06/2020, Volume 9, p.239–261, (2020)

AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction, Pulgar-Rubio, F., Charte Francisco, Rivera-Rivas A.J., and del Jesus M. J. , International Journal of Computational Intelligence Systems, 11/2018, Volume 12, p.436-452, (2018)

125905686.pdf (3.86 MB)

Addressing imbalance in multilabel classification: Measures and random resampling algorithms, Charte, Francisco, Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , Neurocomputing, Volume 163, p.3–16, (2015)

2015-Neucom-AddressingImbalance.pdf (546.81 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)

2016-Fernandez-IJCIS.pdf (455.58 KB)

A Unifying Analysis for the Supervised Descriptive Rule Discovery via the Weighted Relative Accuracy, Carmona, C. J., del Jesus M. J., and Herrera F. , Knowledge-Based Systems, Volume 139, p.89-100, (2018)

2018-Carmona-KBS.pdf (1.57 MB)

A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods, Rivera-Rivas, A.J., Pérez-Recuerda Pedro, Pérez-Godoy M.D., del Jesus M. J., Frías María Pilar, and Parras Manuel , Applied Intelligence, Jun, Volume 34, Number 3, p.331–346, (2011)

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)

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)

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)

2017-Fernandez-IJNS.pdf (683.56 KB)

A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks, Rivera-Rivas, A.J., Rojas I., Ortega J., and del Jesus M. J. , Soft Computing, May, Volume 11, Number 7, p.655–668, (2007)

A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets, López, Victoria, Fernandez Alberto, del Jesus M. J., and Herrera F. , Knowledge-Based Systems, Volume 38, p.85 - 104, (2013)

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)

2015-Carmona-INS.pdf (814.28 KB)

A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams, García-Vico, A.M., Carmona C. J., González P., and del Jesus M. J. , Information Fusion, (In Press)

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)

2015-GarciaDomingo-ESWA.pdf (1.22 MB)

A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams, García-Vico, A.M., Carmona C. J., González P., and del Jesus M. J. , Expert Systems with Applications, Volume 183, Issue C, p.115419, (2021)

2021-Garcia-ESWA.pdf (1.29 MB)

A Big Data Approach for the Extraction of Fuzzy Emerging Patterns, García-Vico, A.M., González P., Carmona C. J., and del Jesus M. J. , Cognitive Computation, 01/2019, Volume 11, p.400–417, (2019)

García-Vico2019_Article_ABigDataApproachForTheExtracti.pdf (1.1 MB)

Conference Paper

Usando Algoritmos de Descubrimiento de Subgrupos en R: El Paquete SDR, García-Vico, A.M., Charte Francisco, González P., Carmona C. J., and del Jesus M. J. , VII Simposio de Teoría y Aplicaciones de Minería de Datos, p.739-748, (2015)

2015 - TAMIDA-b.pdf (335 KB)

Universol Project. Final Results, del Jesus, M. J., and De La Casa-Higueras Juan , 26 th European Photovoltaic Solar Energy Conference, 01, Hamburgo, Alemania, (2012)

Una primera aproximación para la extracción de patrones emergentes en flujos continuos de datos, García-Vico, A.M., Carmona C. J., González P., and del Jesus M. J. , Proc. of the XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (XVIII CAEPIA), Mejor trabajo del II Workshop en Big Data y Análisis de Datos Escalable - BigDADE 2018, p.1093-1098, (2018)

2018_Garcia_BigDADE.pdf (129.48 KB)

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)

2015 - BD.pdf (374.17 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)

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)

2013 - LFSC.pdf (984.32 KB)

Un sistema de clasificación basado en reglas difusas jerárquico con programación genética para problemas de clasificación altamente no balanceados, López, Victoria, Fernández Alberto, del Jesus M. J., and Herrera F. , 02, (2012)

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 el uso de los sistemas de clasificación basados en reglas difusas en problemas de clasificación con clases no balanceadas, Fernández, Alberto, García Salvador, Herrera F., and del Jesus M. J. , XIV Congreso Español sobre tecnologías y lógica fuzzy, 01, Ciudad Real (Español), (2006)

Un estudio sobre el uso de algoritmos genéticos multimodales para selección de características, Aguilera, José, J J., Chica Manuel, del Jesus M. J., J M., Herrera F., and , 02, (2007)

The Magina Project. The Renewables Potential for Electricity Production in the Province of Jaen, Southern Spain, Terrados, Julio, Ruiz-Arias Jose, Hontoria L, Almonacid G, Perez-Higueras Pedro, Pozo-Vazquez D, Gallego F.J., Gomez P, Castro Eulogio, Martin-Mesa A, et al. , 11, p.3452-3459, (2011)

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)

2011 - ICEUTE.pdf (153.86 KB)

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)

2012 - ICEIS.pdf (1.85 MB)

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)

Sistemas Basados en Reglas Difusas en Clasificación: Nuevos Retos, del Jesus, M. J. , XIV Congreso Español sobre tecnologías y lógica fuzzy, 09, Cuencas Mineras Asturianas (España), (2008)

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)

Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels, Charte, Francisco, Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , 10th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2015, 6, Bilbao (Spain), p.489–501, (2015)

2015-HAIS-REMEDIAL.pdf (1.04 MB)

Reglas de asociación en datos multi-instancia mediante programación genética gramatical, Luna, J.M., Reyes O., del Jesus M. J., and Ventura S. , IX Simposio de Teoría y Aplicaciones de la Minería de Datos, 10, Granada, p.815-820, (2018)

R Ultimate Multilabel Dataset Repository, Charte, Francisco, Charte David, Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , 11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016, 4, Seville (Spain), p.487–499, (2016)

RUMDR.pdf (294.87 KB)

{QUINTA: A question tagging assistant to improve the answering ratio in electronic forums}, Charte, Francisco, Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , IEEE International Conference on Computer as a Tool, EUROCON 2015, 9, Salamanca (Spain), p.1-6, (2015)

2015-EUROCON-QUINTA.pdf (2.03 MB)

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)

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)

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)

On the Impact of Imbalanced Data in Convolutional Neural Networks Performance, Pulgar-Rubio, F., Rivera-Rivas A.J., Charte Francisco, and del Jesus M. J. , 12th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2017, 6, La Rioja (Spain), p.220–232, (2017)

Pulgar2017_Chapter_OnTheImpactOfImbalancedDataInC.pdf (634.69 KB)

On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance, Charte, Francisco, Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , 11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016, 4, Seville (Spain), p.500–511, (2016)

Complexity.pdf (1.56 MB)

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)

2009 - HAIS.pdf (166.16 KB)

Niching genetic feature selection algorithms applied to the design of fuzzy rule-based classification systems, Aguilera, José, Chica M., del Jesus M. J., and Herrera F. , 2007 IEEE International Fuzzy Systems Conference, July, p.1-6, (2007)

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)

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 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)

Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification, Rivera-Rivas, A.J., Charte Francisco, Pérez-Godoy M.D., and del Jesus M. J. , 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, 6, Torremolinos-Málaga (Spain), p.41–48, (2011)

2011-IWANN-MultilabelTestingCO2RBFN.pdf (131.76 KB)

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)

MOEA-EFEP: Un algoritmo evolutivo multi-objetivo para la extracción de patrones emergentes difusos, García-Vico, A.M., Carmona C. J., González P., and del Jesus M. J. , Proc. of the XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (XVIII CAEPIA), p.671-672, (2018)

2018_Garcia_MAEB.pdf (67.49 KB)

MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation, Charte, Francisco, Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2016), 9, Salamanca (Spain), p.821–822, (2016)

2016-CAEPIA-MLSMOTE.pdf (579.04 KB)

MLeNN: A First Approach to Heuristic Multilabel Undersampling, Charte, Francisco, Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, 9, Salamanca (Spain), p.1-9, (2014)

2014-IDEAL-MLeNN.pdf (184.04 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)

2016-Garcia-EPMReview.pdf (240.75 KB)

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)

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)

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)

Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market, Pérez-Godoy, M.D., Pérez Pedro, Rivera-Rivas A.J., del Jesus M. J., Frías María Pilar, and Parras Manuel , Trends in Applied Intelligent Systems, Berlin, Heidelberg, p.205–214, (2010)

Influencia del uso de modificadores lingüísticos y grados de certeza en un sistema de clasificación basados en reglas difusas, del Jesus, M. J., and Herrera F. , X Congreso Español sobre tecnologías y reglas difusas, 09, Santander (España), (2000)

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)

2008b - ESTYLF.pdf (338.36 KB)

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)

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)

Improving Multi-label Classifiers via Label Reduction with Association Rules, Charte, Francisco, Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , 7th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2012), 9, Salamanca (Spain), p.188–199, (2012)

2012-HAIS-LabelReduction.pdf (171.47 KB)

Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms, Puentes, F., Pérez-Godoy M.D., González P., and del Jesus M. J. , International Work-Conference on Artificial Neural Networks (IWANN 2021), p.272–280, (2021)

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), (2017)

2017-Garcia-ISFUROS.pdf (317.55 KB)

Genetic tuning of fuzzy rule-based systems integrating linguistic hedges, Casillas, J., Cordón O., Herrera F., and del Jesus M. J. , Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), July, Volume 3, p.1570-1574 vol.3, (2001)

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)

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)

2015 - IFSA-EUSFLAT - CoreB.pdf (889.5 KB)

FEPDS: Una propuesta para la extracción de patrones emergentes difusos en flujos continuos de datos, García-Vico, A.M., Seker H., Carmona C. J., González P., and del Jesus M. J. , Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence, (2021)

2021 - CAEPIA - FEPDS.pdf (173.43 KB)

Feature Selection Algorithms Applied to Parkinson's Disease, Navío, M., Aguilera José, del Jesus M. J., González R., Herrera F., and Iríbar C. , Medical Data Analysis, Berlin, Heidelberg, p.195–200, (2001)

Extracción Evolutiva de Reglas de Asociación en un Servicio de Urgencias Psiquiátricas, Aguilera, 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)

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)

Evolutionary approaches to the learning of fuzzy rule-based classification systems, Cordón, O., Herrera F., and del Jesus M. J. , (1999)

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)

2010 - IEEEEDUCON.pdf (125.61 KB)

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)

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)

2016 - HAIS - CoreC.pdf (203.25 KB)

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)

2009 - IWANN - CoreB.pdf (190.56 KB)

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)

Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations, López, Victoria, Fernández Alberto, del Jesus M. J., and Herrera F. , ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, 02, Volume 2, (2012)

Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms, Charte, Francisco, Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , 9th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2014), 6, Salamanca (Spain), p.110–121, (2014)

2014-HAIS-ConcurrenceLabels.pdf (1.12 MB)

Combining simple exponential smoothing models for time series forecasting, Martínez, Francisco, Pérez-Godoy M.D., Charte Francisco, and del Jesus M. J. , International work-conference on Time Series, ITISE 2016, 6, Granada (Spain), p.635-644, (2016)

2016-ITISE-ExponentialSmoothing.pdf (1.13 MB)

CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm, Pérez-Godoy, M.D., Rivas Antonio Rivera, del Jesus M. J., and Rojas Ignacio , 06, p.324-332, (2007)

Co-Evolutionary Algorithm for RBF by Self- Organizing Population of neurons, Rivas, Antonio Rivera, Ortega Julio, Rojas Ignacio, and del Jesus M. J. , 06, Volume 2686, p.470-477, (2003)

CO2RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design, Pérez-Godoy, M.D., Rivera-Rivas A.J., Charte Francisco, and del Jesus M. J. , 13th International Work-Conference on Artificial Neural Networks (IWANN 2015), 6, Palma de Mallorca (Spain), p.361–373, (2015)

Automating Autoencoder Architecture Configuration: An Evolutionary Approach, Charte, Francisco, Rivera-Rivas A.J., Martínez Francisco, and del Jesus M. J. , International Work-Conference on the Interplay Between Natural and Artificial Computation, 05/2019, p.339-349, (2019)

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)

Atipicidad: Medida de calidad clave dentro del descubrimiento de reglas descriptivas supervisadas, Carmona, C. J., del Jesus M. J., and Herrera F. , Proc. of the XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (XVIII CAEPIA), p.827-828, (2018)

2018 - CAEPIA-70.pdf (67.19 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)

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)

2008 - DCAI.pdf (246.2 KB)

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)

2008a - ESTYLF.pdf (455.19 KB)

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)

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)

2011 - GEFS.pdf (6.67 MB)

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)

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)

2016 - SOCO.pdf (803.02 KB)

Análisis preliminar de marcos tecnológicos en data stream, Puentes, F., Pérez-Godoy M.D., González P., and del Jesus M. J. , II Workshop en Big Data y análisis de datos escalable, 10, Granada (España), p.1117-1122, (2018)

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)

2015 - TAMIDA-a.pdf (251.88 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)

2013 - TAMIDA.pdf (294.44 KB)

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)

2017-Garcia-MAEB2017.pdf (137.29 KB)

An evolutionary paradigm for designing fuzzy rule-based systems from examples, Cordón, O., del Jesus M. J., Herrera F., and Lozano Manuel , 10, p.139 - 144, (1997)

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)

2013 - IFSA.pdf (1.94 MB)

An ensemble strategy for forecasting the extra-virgin olive oil price in Spain, Rivera-Rivas, A.J., Pérez-Godoy M.D., Charte Francisco, Pulgar-Rubio F., and del Jesus M. J. , International work-conference on Time Series, ITISE 2015, 7, Granada (Spain), p.506–516, (2015)

2015-ITISE-ForecastOliveOil.pdf (547.65 KB)

An ensemble method for time series forecasting with simple exponential smoothing, del Jesus, M. J., Martínez Francisco, Pérez-Godoy M.D., Rivera-Rivas A.J., and Frías María Pilar , Conference Computational and Mathematical Methods in Science and Engineering, 07, Rota, Cádiz (Spain), (2014)

An Approximation to Deep Learning Touristic-Related Time Series Forecasting, Trujillo, Daniel, Rivera-Rivas A.J., Charte Francisco, and del Jesus M. J. , 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, 11, Madrid (Spain), p.448–456, (2018)

2018-IDEAL-LSTMTouristic.pdf (2.13 MB)

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)

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)

2009 - FUZZIEEE.pdf (192.81 KB)

Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks, Charte, Francisco, Rivera-Rivas A.J., Pérez-Godoy M.D., and del Jesus M. J. , 12th International Work-Conference on Artificial Neural Networks (IWANN 2013), Tenerife (Spain), p.331-338, (2013)

2013-IWANN-AlternativeOVA.pdf (146.42 KB)

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)

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)

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)

2012 - ESTYLF.pdf (3.43 MB)

Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection, Fernández, Alberto, del Jesus M. J., and Herrera F. , Intelligent Data Engineering and Automated Learning – IDEAL 2015, Cham, p.36–44, (2015)

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)

2009 - FINDIT.pdf (168.85 KB)

A Transformation Approach Towards Big Data Multilabel Decision Trees, Rivera-Rivas, A.J., Charte Francisco, Pulgar-Rubio F., and del Jesus M. J. , 14th International Work-Conference on Artificial Neural Networks (IWANN 2017), 6, Cádiz (Spain), p.73–84, (2017)

2017-IWANN-BigDataMLDT.pdf (372.37 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)

A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design, Parras-Gutiérrez, E., del Jesus M. J., Merelo Juan J., and Rivas Victor M. , International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008), Berlin, Heidelberg, p.663–671, (2009)

A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price, Rivera-Rivas, A.J., Pérez-Godoy M.D., del Jesus M. J., Pérez-Recuerda Pedro, Frías María Pilar, and Parras Manuel , Advances in Artificial Intelligence, Berlin, Heidelberg, p.263–272, (2011)

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)

A Showcase of the Use of Autoencoders in Feature Learning Applications, Charte, David, Charte Francisco, del Jesus M. J., and Herrera F. , International Work-Conference on the Interplay Between Natural and Artificial Computation, 05/2019, p.412-421, (2019)

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)

2010 - IEEEWCCS - CoreA.pdf (606.64 KB)

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)

2012 - FUZZIEEE.pdf (1.63 MB)

A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops , Rivera-Rivas, A.J., Pérez-Godoy M.D., Elizondo D., Deka Lipika, and del Jesus M. J. , 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), 08/2020, p.276-285, (2020)

A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns, Carmona, C. J., González P., García-Vico A.M., and del Jesus M. J. , 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), Volume 1268, p.100, (2020)

2020 - SOCO.pdf (184.72 KB)

A Preliminar Analysis of CO2RBFN in Imbalanced Problems, Pérez-Godoy, M.D., Rivera-Rivas A.J., Fernández A., del Jesus M. J., and Herrera F. , Bio-Inspired Systems: Computational and Ambient Intelligence, Berlin, Heidelberg, p.57–64, (2009)

A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines, Charte, David, Charte Francisco, García S., del Jesus M. J., and Herrera F. , XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018), 10, Granada (Spain), p.949–950, (2018)

2018-CAEPIA-TutorialAEs.pdf (59.39 KB)

A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO2RBFN, Rivera-Rivas, A.J., García-Domingo B., del Jesus M. J., and Aguilera J. , Soft Computing Models in Industrial and Environmental Applications, Berlin, Heidelberg, p.439–448, (2013)

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. , Proc. of the XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (XVIII CAEPIA), p.1316-1317, (2018)

2018 - CAEPIA-262.pdf (63.54 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)

A multiobjective genetic algorithm for feature selection and granularity learning in fuzzy-rule based classification systems, Cordón, O., Herrera F., del Jesus M. J., and Villar P , 08, Volume 3, p.1253 - 1258 vol.3, (2001)

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)

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)

A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy, Viedma, Daniel Trujillo, Rivera-Rivas A.J., Charte Francisco, and del Jesus M. J. , International Work-Conference on Artificial Neural Networks, 05/2019, p.270-280, (2019)

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)

2017-Garcia-FuzzIEEE.pdf (383.81 KB)

A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders, Pulgar-Rubio, F., Charte Francisco, Rivera-Rivas A.J., and del Jesus M. J. , 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, 11, Madrid (Spain), p.439–447, (2018)

2018-IDEAL-DimensionalityDAE.pdf (2.45 MB)

A First Approach to Deal with Imbalance in Multi-label Datasets, Charte, Francisco, Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , 8th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2013), 9, Salamanca (Spain), p.150-160, (2013)

2013-HAIS-ImbalanceMultilabel.pdf (194.4 KB)

A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments, Pérez-Godoy, M.D., Rivera-Rivas A.J., del Jesus M. J., and Martínez Francisco , The 2013 International Joint Conference on Neural Networks (IJCNN), Aug, p.1-8, (2013)

Book Chapter

Subgroup Discovery with Linguistic Rules, del Jesus, M. J., González P., and Herrera F. , Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, Berlin, Heidelberg, p.411–430, (2008)

Proyecto KEEL: Desarrollo de una herramienta para el análisis e implementación de algoritmos de extracción de conocimiento evolutivos, Alcala-Fdez, Jesus, del Jesus M. J., Garrell Josep-Maria, Herrera F., Martínez Cesar, and Sánchez Luciano , 01, p.413-424, (2004)

Introduction to the Experimental Design in the Data Mining Tool KEEL, Alcala-Fdez, Jesus, Garcia S, Sánchez Luciano, Robles I, del Jesus M. J., Bernado-Mansilla E, Peregrin Antonio, and Herrera F. , 01, p.1-25, (2010)

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)

Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modeling, Cordón, O., Herrera F., del Jesus M. J., Villar Pedro, and Zwir Igor , Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications, Boston, MA, p.189–221, (2000)

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)

2012 - ISKE.pdf (354.7 KB)

A Multiobjective Genetic Learning Process for joint Feature Selection and Granularity and Contexts Learning in Fuzzy Rule-Based Classification Systems, Cordón, O., del Jesus M. J., Herrera F., Magdalena Luis, and Villar Pedro , Interpretability Issues in Fuzzy Modeling, Berlin, Heidelberg, p.79–99, (2003)

- A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems, Cordón, O., Herrera F., del Jesus M. J., Magdalena L., Sánchez A.M., and Villar P. , Intelligent Systems for Information Processing, Amsterdam, p.315 - 326, (2003)

Book

Multilabel Classification: Problem Analysis, Metrics and Techniques, Herrera, F., Charte Francisco, Rivera-Rivas A.J., and del Jesus M. J. , (2016)