Publications
Aplicación de un algoritmo de extracción de reglas difusas para minería de uso web,
, XIV Congreso Español de Tecnologías y Lógica Difusa (ESTYLF), September, Langreo-Mieres (Spain), (2008)
2008a - ESTYLF.pdf (455.19 KB)

Applied Techniques of Engineering to Non-Structured Data Model,
, International Symposium on Distributed Computing and Artificial Intelligence (DCAI), Volume 50, Salamanca (Spain), p.410-414, (2008)
2008 - DCAI.pdf (246.2 KB)

Influencia de la granularidad y de las medidas de calidad en SDIGA,
, XIV Congreso Español de Tecnologías y Lógica Difusa( ESTYLF), September, Langreo-Mieres (Spain), (2008)
2008b - ESTYLF.pdf (338.36 KB)

Adaptación de una asignatura avanzada de redes de computadores al modelo de docencia virtual dentro del marco del Espacio Europeo de Educación Superior,
, International Conference on Development and Innovation with New Technologies in Engineering Education, p.15-21, (2009)
2009 - FINDIT.pdf (168.85 KB)

An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery,
, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), August, ICC Jeju, Jeju Island, Korea, p.1706-1711, (2009)
2009 - FUZZIEEE.pdf (192.81 KB)

EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design,
, International Work-Conference on Artificial Neural Networks (IWANN), Number 2009, p.752–759, (2009)
2009 - IWANN - CoreB.pdf (190.56 KB)

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

A Preliminary Study on Mutation Operators in Cooperative Competitive Algorithms for RBFN Design,
, IEEE World Congress on Computational Intelligence (WCCI), p.349–355, (2010)
2010 - IEEEWCCS - CoreA.pdf (606.64 KB)

A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification,
, Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE), Cordoba, p.601-610, (2010)
2010 - IEA-AEI.pdf (211.57 KB)

CO2RBFN for Short and Medium Term Forecasting of the Extra Virgin Olive Oil Price,
, Studies in Computational Intelligence, Volume 284, p.113-125, (2010)
2010 - NICSO.pdf (589.38 KB)

CO2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market,
, International Journal of Hybrid Intelligent Systems, p.75-87, (2010)
2010-Perez-Godoy-IJHIS.pdf (434.9 KB)

Evolutionary algorithms for subgroup discovery applied to e-learning data,
, IEEE EDUCON, April, Madrid (Spain), p.983-990, (2010)
2010 - IEEEEDUCON.pdf (125.61 KB)

Mejoras en el Diseño Multiobjetivo de Redes de Funciones de Base Radial,
, Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), p.441-446, (2010)
2010 - ESTYLF.pdf (587.96 KB)

NMEEF-SD: Non-dominated Multi-objective Evolutionary algorithm for Extracting Fuzzy rules in Subgroup Discovery,
, IEEE Transactions on Fuzzy Systems, Volume 18, Number 5, p.958-970, (2010)
2010-Carmona-TFS.pdf (457.11 KB)

Preselection of Neurostimulation waveforms for visual prostheses using genetic algorithms,
, 3rd International Conference on Biomedical Electronics and Devices (BIODEVICES), January, Valencia, p.191-194, (2010)
2010 - BIODEVICES.pdf (232.28 KB)

An overview on Subgroup Discovery: Foundations and Applications,
, Knowledge and Information Systems, Volume 29, Number 3, p.495-525, (2011)
2011-Herrera-KAIS.pdf (553.73 KB)

Analysis of the Impact of Using Different Diversity Functions for the Subgroup Discovery Algorithm NMEEF-SD,
, 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS), April, Paris (France), p.17-23, (2011)
2011 - GEFS.pdf (6.67 MB)

Descubrimiento de subgrupos mediante sistemas difusos evolutivos,
, II Jornadas Andaluzas de Informática (JAI), September, Canillas del Aceituno (Spain), p.30-35, (2011)
2011 - JAI.pdf (2.11 MB)

Evolutionary Fuzzy Rule Extraction for Subgroup Discovery in a Psychiatric Emergency Department,
, Soft Computing, Volume 15, Number 12, p.2435-2448, (2011)
2011-Carmona-SoCo.pdf (280.17 KB)

Evolutionary Selection of Hyperrectangles in Nested Generalized Exemplar Learning,
, Applied Soft Computing, Volume 11, Number 3, p.3032-3045, (2011)
2011-Garcia-ASOC.pdf (2.07 MB)

Subgroup discovery in an e-learning usage study based on Moodle,
, International Conference on EUropean Transnational Education (ICEUTE), October, Salamanca (Spain), p.26-31, (2011)
2011 - ICEUTE.pdf (153.86 KB)

Subgroup Discovery: Real-World Applications,
, Leicester, United Kingdom, p.1-21, (2011)
TR2011.pdf (303.29 KB)

A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery,
, 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 Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms,
, 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM), February, Villamoura - (Portugal), p.211-216, (2012)
2012 - ICPRAM.pdf (106.28 KB)

Ajuste genético lateral de las etiquetas lingüísticas en descubrimiento de subgrupos,
, XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), February, Valladolid (Spain), p.271-276, (2012)
2012 - ESTYLF.pdf (3.43 MB)

An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery,
, Expert Systems with Applications, Volume 39, p.11404-11412, (2012)
2012-Carmona-ESWA-II.pdf (468.94 KB)

Analysing the Moodle e-learning platform through subgroup discovery algorithms based on evolutionary fuzzy systems,
, Leicester, United Kingdom, p.1-28, (2012)
TR2012.pdf (322.15 KB)

Evolutionary-Based Selection of Generalized Instances for Imbalanced Classification,
, Knowledge-Based Systems, Volume 25, Number 1, p.3-12, (2012)
2012-Garcia-KBS.pdf (522.95 KB)

Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD,
, International Journal of Computational Intelligence Systems, Volume 5, Number 2, p.355-367, (2012)
2012-Carmona-IJCIS.pdf (747.67 KB)

Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com,
, 14th International Conference on Enterprise Information Systems (ICEIS), July, Wroclaw (Poland), p.239-244, (2012)
2012 - ICEIS.pdf (1.85 MB)

Web usage mining to improve the design of an e-commerce website: OrOliveSur.com,
, Expert Systems with Applications, Volume 39, p.11243-11249, (2012)
2012-Carmona-ESWA-I.pdf (907.1 KB)

An evolutionary fuzzy system for the detection of exceptions in subgroup discovery,
, International Fuzzy Systems Applications World Congress (IFSA), July, Edmonton (Canada), p.74-79, (2013)
2013 - IFSA.pdf (1.94 MB)

Análisis del virus de la gripe A mediante descubrimientos de subgrupos difusos,
, VII Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA), September, Madrid (Spain), p.1313-1322, (2013)
2013 - TAMIDA.pdf (294.44 KB)

Applying Subgroup Discovery Based on Evolutionary Fuzzy Systems for Web Usage Mining in E-Commerce: A Case Study on OrOliveSur.com,
, Foundations and Applications of Intelligent Systems, p.591-602, (2013)
2012 - ISKE.pdf (354.7 KB)

Descubrimiento de subgrupos aplicado al portal de comercio electrónico: OrOliveSur.com,
, Jaén, España, p.1-16, (2013)
TR-SD-OrOliveSur.pdf (634.62 KB)

Fuzzy Rules for Describing Subgroups from Influenza A Virus Using a Multi-objective Evolutionary Algorithm,
, Applied Soft Computing, Volume 13, p.3439-3448, (2013)
2013-Carmona-ASOC.pdf (1000.39 KB)

MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology,
, Knowledge-Based Systems, Volume 54, p.73-85, (2013)
2013-Carmona-KBS.pdf (1.25 MB)

Un sistema difuso evolutivo para la detección de excepciones en descubrimiento de subgrupos,
, XV Conferencia de la Asociación Española para la Inteligencia Artificial, September, Madrid (Spain), p.1220-1229, (2013)
2013 - LFSC.pdf (984.32 KB)

Addressing Imbalanced Classification with Instance Generation Techniques: IPADE-ID,
, Neurocomputing, Volume 126, p.15-28, (2014)
2014-Lopez-NEUROCOMPUTING.pdf (933.25 KB)

Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms,
, WIREs Data Mining and Knowledge Discovery, Volume 4, Number 2, p.87-103, (2014)
2014-Carmona-WIRE-DMKD.pdf (958.42 KB)

Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets,
, Applied Soft Computing, Volume 25, p.26-39, (2014)
2014-Perez-ASOC.pdf (926.82 KB)

A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions,
, Expert Systems with Applications, Volume 42, Number 13, p.5452–5462, (2015)
2015-GarciaDomingo-ESWA.pdf (1.22 MB)

A first approach in the class noise filtering approaches for Fuzzy Subgroup Discovery,
, Advances in Intelligent Systems and Computing, Volume 368, p.387-399, (2015)
2015 - SOCO.pdf (530.94 KB)

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, Volume 298, p.180-197, (2015)
2015-Carmona-INS.pdf (814.28 KB)

Análisis descriptivo mediante aprendizaje supervisado basado en patrones emergentes,
, VII Simposio de Teoría y Aplicaciones de Minería de Datos, p.685-694, (2015)
2015 - TAMIDA-a.pdf (251.88 KB)

FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery,
, 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)

Subgroup Discovery through Evolutionary Fuzzy Systems applied to Bioinformatics problems,
, Leicester, United Kingdom, p.1-28, (2015)
TR2015.pdf (369.13 KB)

Una primera aproximación al descubrimiento de subgrupos bajo el paradigma MapReduce,
, 1er Workshop en Big Data y Análisis de Datos Escalable, p.991-1000, (2015)
2015 - BD.pdf (374.17 KB)

Usando Algoritmos de Descubrimiento de Subgrupos en R: El Paquete SDR,
, VII Simposio de Teoría y Aplicaciones de Minería de Datos, p.739-748, (2015)
2015 - TAMIDA-b.pdf (335 KB)

A View on Fuzzy Systems for Big Data: Progress and Opportunities,
, International Journal of Computational Intelligence Systems, Volume 9, Number 1, p.69-80, (2016)
2016-Fernandez-IJCIS.pdf (455.58 KB)

Analysing Concentrating Photovoltaics Technology through the use of Emerging Pattern Mining,
, Proceedings of the 11th International Conference on Soft Computing Models in Industrial and Environmental Applications, (2016)
2016 - SOCO.pdf (803.02 KB)

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

Minería de Patrones Emergentes: Una oportunidad para la extracción evolutiva de conocimiento,
, XI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016), (2016)
2016-Garcia-EPMReview.pdf (240.75 KB)

Subgroup Discovery with Evolutionary Fuzzy Systems in R: the SDEFSR Package,
, The R Journal, Volume 8, Issue 2, p.307-323, (2016)
2016-Garcia-RJournal.pdf (2.56 MB)

Supervised Descriptive Rule Discovery: A Survey of the State-of-the-Art,
, p.1-11, (2016)
TR2016.pdf (123.43 KB)

The Influence of Noise on the Evolutionary Fuzzy Systems for Subgroup Discovery,
, Soft Computing, Volume 20, Issue 11, p.4313-4330, (2016)
2016-Luengo-NoiseSD.pdf (972.31 KB)

A First Approach to Handle Emergining Patterns Mining on Big Data Problems: The EvAEFP-Spark Algorithm,
, Proc. of the 2017 IEEE International Conference on Fuzzy Systems, p.1-6, (2017)
2017-Garcia-FuzzIEEE.pdf (383.81 KB)

A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets,
, International Journal of Neural Systems, Volume 27, Issue 6, p.1-17, (2017)
2017-Fernandez-IJNS.pdf (683.56 KB)

Análisis de Diferentes Tipos de Reglas en Sistemas Difusos Evolutivos para Minería de Patrones Emergentes,
, 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)

Impact of the Type of Rule in Fuzzy Emerging Pattern Mining on a Big Data Approach,
, Proc. of the II International symposium on Fuzzy and Rough Sets (ISFUROS 2017), (2017)
2017-Garcia-ISFUROS.pdf (317.55 KB)

MEFASD-BD: Multi-Objective Evolutionary Algorithm for Subgroup Discovery in Big Data Environments - A MapReduce Solution,
, Knowledge-Based Systems, Volume 117, p.70-78, (2017)
A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets,
, 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 Unifying Analysis for the Supervised Descriptive Rule Discovery via the Weighted Relative Accuracy,
, Knowledge-Based Systems, Volume 139, p.89-100, (2018)
2018-Carmona-KBS.pdf (1.57 MB)

An Overview of Emerging Pattern Mining in Supervised Descriptive Rule Discovery: Taxonomy, Empirical Study, Trends and Prospects,
, WIREs Data Mining and Knowledge Discovery, Volume 8, Issue 1, (2018)
2018-Garcia-Wiley.pdf (728.97 KB)

Atipicidad: Medida de calidad clave dentro del descubrimiento de reglas descriptivas supervisadas,
, 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)

Improvement of subgroup descriptions in noisy data by detecting exceptions,
, Progress in Artificial Intelligence, Volume 7, Issue 1, p.55-64, (2018)
2017-Gzlez-PRAI.pdf (371.57 KB)

MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns,
, IEEE Transaction on Fuzzy Systems, Volume 26, Issue 5, p.2861-2872, (2018)
MOEA-EFEP: Un algoritmo evolutivo multi-objetivo para la extracción de patrones emergentes difusos,
, 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)

Una primera aproximación para la extracción de patrones emergentes en flujos continuos de datos,
, 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)

A Big Data Approach for the Extraction of Fuzzy Emerging Patterns,
, Cognitive Computation, 01/2019, Volume 11, p.400–417, (2019)
García-Vico2019_Article_ABigDataApproachForTheExtracti.pdf (1.1 MB)

Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments,
, Big Data Analytics, Volume 4, Number 1, p.1, (2019)
Subgroup Discovery on Multiple Instance Data,
, International Journal of Computational Intelligence Systems, 12/2019, Volume 12, Issue 2, p.1602-1612, (2019)
125927212.pdf (1.91 MB)

A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns,
, 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)

E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments,
, Neurocomputing, 11/2020, Volume 415, p.60-73, (2020)
1-s2.0-S0925231220311139-main.pdf (927.85 KB)

FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams,
, IEEE Transactions on Fuzzy Systems, 12/2020, Volume 28, Issue 12, p. 3193-3203, (2020)
09088291.pdf (1.29 MB)

A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams,
, Expert Systems with Applications, Volume 183, Issue C, p.115419, (2021)
2021-Garcia-ESWA.pdf (1.29 MB)

Clustering: Un paquete R para facilitar el análisis de algoritmos de agrupamiento,
, Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence, (2021)
2021 - CAEPIA - Clustering.pdf (484.99 KB)

E2PAMEA: un algoritmo evolutivo para la extraccióni eficiente de patrones emergentes difusos en entornos big data,
, Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence, (2021)
2021 - CAEPIA - E2PM.pdf (173.29 KB)

FEPDS: Una propuesta para la extracción de patrones emergentes difusos en flujos continuos de datos,
, Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence, (2021)
2021 - CAEPIA - FEPDS.pdf (173.43 KB)

A case of study with the Clustering R library to measure the quality of cluster algorithms,
, International Conference on Hybrid Artificial Intelligence Systems (HAIS) - Salamanca 5-8 septembre, p.88-97, (2022)
Gamificación mediante juegos de bloques en asignaturas del ámbito de la Inteligencia Artificial en el Grado en Ingeniería Informática,
, VI Congreso Internacional sobre Innovación Pedagógica y Praxis Educativa (INNOVAGOGÍA 2022) - 25 al 27 de mayo, Madrid, (2022)
Uso de metodologías de aprendizaje invertido para resolución de la parte práctica en asignaturas del grado de ingeniería informática,
, XX Congreso Internacional de Investigación Educativa (14-17 de junio), Santiago de Compostela, (2022)
A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams,
, Information Fusion, (In Press)
Clustering: An R library to facilitate the analysis and comparison of cluster algorithms,
, Progress in Artificial Intelligence, (In Press)