Publications
An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges,
, Neurocomputing, Volume 404, p.93-107, (2020)
1-s2.0-S092523122030624X-main.pdf (0 bytes)

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications,
, Neurocomputing, Volume 410, p.237-270, (2020)
A Showcase of the Use of Autoencoders in Feature Learning Applications,
, International Work-Conference on the Interplay Between Natural and Artificial Computation, 05/2019, p.412-421, (2019)
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations,
, Progress in Artificial Intelligence, 11, Volume 8, p.1-14, (2019)
2018-PRAI-NonStandard-Accepted.pdf (951.61 KB)

Dealing with difficult minority labels in imbalanced mutilabel data sets,
, Neurocomputing, Volume 326, p.39–53, (2019)
2019-NeucomDealingDifficultLabels.pdf (4.77 MB)

Evolutionary Fuzzy Sistems for Explainable Artificial Intelligence: Why, When, What for, and Where to ?,
, IEEE Computational Intelligence, Volume 1, Number 14, p.69-81, (2019)
08610271.pdf (1.09 MB)

REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization,
, Neurocomputing, Volume 326, p.110–122, (2019)
2019-NeucomRemedial-HwR.pdf (2.83 MB)

Ruta: implementations of neural autoencoders in R,
, Knowledge-Based Systems, 06/2019, Volume 174, p.4-8, (2019)
1-s2.0-S0950705119300140-main.pdf (421.73 KB)

Smartdata: Data preprocessing to achieve smart data in R,
, Neurocomputing, 09/2019, Volume 360, p.1-13, (2019)
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 practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines,
, 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 snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations,
, Progress in Artificial Intelligence, Nov, (2018)
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)

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)

Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository,
, Neurocomputing, Volume 289, p.68–85, (2018)
2018-Neucom-TipsMLCCometa-compressed.pdf (1017.86 KB)

A first approach towards a fuzzy decision tree for multilabel classification,
, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 7, Naples (Italy), p.1–6, (2017)
2017-IEEE-FuzzyDTMLC.pdf (299.08 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)

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining.,
, International Journal of Computational Intelligence Systems, Volume 10, Number 1, p.1238-1249, (2017)
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)

Análisis visual de técnicas no supervisadas de deep learning con el paquete dlvisR,
, XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2016), 9, Salamanca (Spain), p.895–904, (2016)
2016-CAEPIA-dlvisR.pdf (2.56 MB)

MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation,
, 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)

On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance,
, 11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016, 4, Seville (Spain), p.500–511, (2016)
Complexity.pdf (1.56 MB)

R Ultimate Multilabel Dataset Repository,
, 11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016, 4, Seville (Spain), p.487–499, (2016)
RUMDR.pdf (294.87 KB)

Addressing imbalance in multilabel classification: Measures and random resampling algorithms,
, Neurocomputing, Volume 163, p.3–16, (2015)
2015-Neucom-AddressingImbalance.pdf (546.81 KB)

Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection,
, Intelligent Data Engineering and Automated Learning – IDEAL 2015, Cham, p.36–44, (2015)
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation,
, Knowledge-Based Systems, Volume 89, p.385–397, (2015)
2015-KBS-MLSMOTE.pdf (1.56 MB)

{QUINTA: A question tagging assistant to improve the answering ratio in electronic forums},
, IEEE International Conference on Computer as a Tool, EUROCON 2015, 9, Salamanca (Spain), p.1-6, (2015)
2015-EUROCON-QUINTA.pdf (2.03 MB)

Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels,
, 10th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2015, 6, Bilbao (Spain), p.489–501, (2015)
2015-HAIS-REMEDIAL.pdf (1.04 MB)

Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges,
, Knowledge-Based Systems, Volume 80, p.109 - 121, (2015)
Addressing Imbalanced Classification with Instance Generation Techniques: IPADE-ID,
, Neurocomputing, Volume 126, p.15-28, (2014)
2014-Lopez-NEUROCOMPUTING.pdf (933.25 KB)

Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks,
, WIREs Data Mining and Knowledge Discovery, Volume 4, Number 5, p.380-409, (2014)
Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms,
, 9th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2014), 6, Salamanca (Spain), p.110–121, (2014)
2014-HAIS-ConcurrenceLabels.pdf (1.12 MB)

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, Volume 25, Number 10, p.1842-1854, (2014)
2014-TNNLS-LI-MLC.pdf (1.85 MB)

METSK-HDe: A Multiobjective Evolutionary Algorithm to learn accurate TSK-fuzzy Systems in High-Dimensional and Large-Scale Regression Problems,
, Information Sciences, Volume 276, p.63–79, (2014)
2014-MJGacto-METSK-HDe.pdf (792.59 KB)

MLeNN: A First Approach to Heuristic Multilabel Undersampling,
, 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)

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)

A First Approach to Deal with Imbalance in Multi-label Datasets,
, 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 hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets,
, Knowledge-Based Systems, Volume 38, p.85 - 104, (2013)
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches,
, Knowledge-Based Systems, Volume 42, p.97 - 110, (2013)
Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems,
, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 07/2013, p.1-7, (2013)
2013-MJGacto.pdf (364.78 KB)

A Multi-Objective Evolutionary Algorithm for an Effective Tuning of Fuzzy Logic Controllers in Heating, Ventilating and Air Conditioning Systems,
, Applied Intelligence, Volume 36, Number 2, p.330-347, (2012)
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)

A Review on Ensembles for Class Imbalance Problem: Bagging, Boosting and Hybrid Based Approaches,
, IEEE Transactions on System, Man and Cybernetics - Part C: Applications and Reviews, Volume 42, Number 4, p.463-484, (2012)
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics,
, Expert Systems with Applications, Volume 39, Number 7, p.6585-6608, (2012)
Aprendizaje Evolutivo De Sistemas Aproximativos De Tipo TSK Para Problemas De Alta Dimensionalidad,
, XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), February, Valladolid (Spain), p.295-300, (2012)
Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations,
, ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, 02, Volume 2, (2012)
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)

Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classication Systems for Highly Imbalanced Data-Sets,
, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Volume 20, Number 3, p.369-397, (2012)
Improving Multi-label Classifiers via Label Reduction with Association Rules,
, 7th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2012), 9, Salamanca (Spain), p.188–199, (2012)
2012-HAIS-LabelReduction.pdf (171.47 KB)

Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study,
, IEEE Transactions Pattern Analysis and Machiche Intelligence, Volume 34, Number 3, p.417–435, (2012)
Replacement Strategies to Preserve Useful Diversity in Steady-State Genetic Algorithms,
, Information Sciences, (2012)
A double axis classi,
, 9th International Workshop on Fuzzy Logic and Applications (WILF), (2011)
A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems,
, Fuzzy Logic and Applications, Berlin, Heidelberg, p.99–106, (2011)
A Fast and Scalable Multi-Objective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems,
, IEEE Transactions on Fuzzy Systems, Volume 19, Number 4, p.666-681, (2011)
A Genetic Tuning to Improve the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of Ignorance and Lateral Position,
, International Journal of Approximate Reasoning, Volume 52, Number 6, p.751-766, (2011)
Addressing Data Complexity for Imbalanced Data Sets: Analysis of SMOTE-based Oversampling and Evolutionary Undersampling,
, Soft Computing, Volume 15, Number 10, p.1909-1936, (2011)
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)

Evolutionary Multi-Objective Algorithm to Effectively Improve the Performance of the Classic Tuning of Fuzzy Logic Controllers for a Heating, Ventilating and Air Conditioning System,
, 5th International Workshop On Genetic And Evolutionary Fuzzy Systems (GEFS), April, (2011)
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)

Interpretability of Linguistic Fuzzy Rule-Based Systems: An Overview of Interpretability Measures,
, Information Sciences, Volume 181, Number 20, p.4340–4360, (2011)
KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework,
, Journal of Multiple-Valued Logic and Soft Computing, Volume 17, Number 2-3, p.255-287, (2011)
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)

A Review on Evolutionary Prototype Selection,
, Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, p.92–113, (2010)
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental Analysis of Power,
, Information Sciences, Volume 180, p.2044–2064, (2010)
Analysing the Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection,
, 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS), March, Mieres (Spain), p.69-74, (2010)
Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm,
, LNAI 6097, June, Córdoba, p.228-238, (2010)
Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy and Comparative Study,
, IEEE Transactions on Evolutionary Computation, Volume 14, Number 6, p.913-941, (2010)
GP-COACH: Genetic Programming-based learning of Compact and ACcurate fuzzy rule-based classification systems for High-dimensional problems,
, Information Sciences, Volume 180, Number 8, p.1183 - 1200, (2010)
Improving the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets and Genetic Amplitude Tuning,
, Information Sciences, Volume 180, Number 19, p.3674-3685, (2010)
Indice de Interpretabilidad Semántica para el Ajuste de Sistemas Basados en Reglas Difusas y Selección de Reglas Mediante un Algoritmo Evolutivo Multi-Objetivo,
, XV Edición del Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), February, Huelva, p.73-78, (2010)
Integration of an Index to Preserve the Semantic Interpretability in the Multi-Objective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems,
, IEEE Transactions on Fuzzy Systems, Volume 18, Number 3, p.515-531, (2010)
Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market,
, Trends in Applied Intelligent Systems, Berlin, Heidelberg, p.205–214, (2010)
Introduction to the Experimental Design in the Data Mining Tool KEEL,
, 01, p.1-25, (2010)
Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning,
, 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), June, Volume 6178, Dortmund (Germany), p.89-98, (2010)
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)

On the 2-Tuples Based Genetic Tuning Performance for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets,
, Information Sciences, Volume 180, Number 8, p.1268-1291, (2010)
Solving Multi-Class Problems with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning and Preference Relations,
, Fuzzy Sets and Systems, Volume 161, Number 23, p.3064-3080, (2010)
A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability,
, Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA), July, Lisbon, Portugal, p.1146-1151, (2009)
A Preliminar Analysis of CO2RBFN in Imbalanced Problems,
, Bio-Inspired Systems: Computational and Ambient Intelligence, Berlin, Heidelberg, p.57–64, (2009)
Adaptation and Application of Multi-Objective Evolutionary Algorithms for Rule Reduction and Parameter Tuning of Fuzzy Rule-Based Systems,
, Soft Computing, Volume 13, Number 5, p.419-436, (2009)
Addressing Data-Complexity for Imbalanced Data-sets: A Preliminary Study on the Use of Preprocessing for C4.5,
, 9th International Conference on Intelligent Systems Designs and Applications (ISDA), p.523-528, (2009)
Algoritmo Genético Multi-Objetivo Avanzado para el ajuste de un sistema difuso aplicado al Control de Sistemas de Ventilación, Calefacción y Aire Acondicionado,
, Proceedings of the Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), February, p.595-602, (2009)
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)

Diagnose of Effective Evolutionary Prototype Selection using an Overlapping Measure,
, International Journal of Pattern Recognition and Artificial Intelligence, Volume 23, Number 8, p.1527-1548, (2009)
Enhancing the Effectiveness and Interpretability of Decision Tree and Rule Induction Classifiers with Evolutionary Training Set Selection over Imbalanced Problems,
, Applied Soft Computing, Volume 9, p.1304-1314, (2009)
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data,
, Expert Systems with Applications, Volume 36, p.1632-1644, (2009)
Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets,
, 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)
Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm,
, 9th International Conference on Intelligent Systems Design and Applications (ISDA), November, Pisa (Italy), p.109-114, (2009)
Hierarchical fuzzy rule based classfication systems with genetic rule selection for imbalanced data-sets,
, International Journal of Approximate Reasoning, Volume 50, p.561-577, (2009)
Improving Fuzzy Logic Controllers Obtained by Experts: A Case Study in HVAC Systems,
, Applied Intelligence, Volume 31, Number 1, p.15-30, (2009)
Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-sets Using an Evolutionary Adaptive Inference System,
, 10th International Work-Conference on Artificial Neural Networks (IWANN), June, Volume 5517, Salamanca (Spain), p.294-301,, (2009)
KEEL: A Software Tool to Assess Evolutionary Algorithms for Data Mining Problems,
, Soft Computing, Volume 13, Number 3, p.307-318, (2009)
Learning the Membership Function Contexts for Mining Fuzzy Association Rules by Using Genetic Algorithms,
, Fuzzy Sets and Systems, Volume 160, Number 7, p.905-921, (2009)
Modelo predictivo colaborativo de apoyo al diagnóstico en servicio de urgencias psiquiátricas,
, Revista Ibérica de Sistemas y Tecnologías de la información, Volume 4, Number 4, p.29-42, (2009)
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)

On the influence of an adaptive inference system in fuzzy rule-based classification sytems for imbalanced data-sets,
, Expert Systems with Applications, Volume 36, Number 6, p.9805-9812, (2009)
Un Primer Estudio sobre la Utilización de Selección Evolutiva de Conjuntos de Entrenamiento en Problemas de Clasificación con Clases no Balanceadas y Árboles de Decisión,
, Proceedings of VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), February, Málaga (Spain), p.183-190, (2009)
A memetic algorithm for Evolutionary Prototype Selection: A Scaling Up Approach,
, Pattern Recognition, Volume 41, Number 8, p.2693-2709, (2008)
A Novel Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for High Dimensional Problems,
, 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS), WittenBommerholz (Germany), p.101-106, (2008)
A Study of the Behaviour of Linguistic Fuzzy Rule Based Classification Systems in the Framework of Imbalanced Data Sets,
, Fuzzy Sets and Systems, Volume 159, Number 18, p.2378-2398, (2008)
An Improved Multi-Objective Genetic Algorithm for Tuning Linguistic Fuzzy System,
, Proceedings of the 2008 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), June, p.1121-1128, (2008)
Estudio de la influencia de las medidas de complejidad de los datos en los Sistemas de Clasifcación Basados en Reglas Difusas: Análisis de la Razón Discriminante de Fisher,
, XIV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), September, Mieres (Spain), p.257-263, (2008)
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)

KEEL: A Data Mining Software Tool Integrating Genetic Fuzzy Systems,
, 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS), WittenBommerholz (Germany), p.83-88, (2008)
Making CN1 -SD Subgroup Discovery Algorithm Scalable to Large Size Data Sets Using Instance Selection,
, Expert System with Applications, Volume 35, Number 4, p.1949-1965, (2008)
Making CN2-SD Subgroup Discovery Algorithm scalable to Large Size Data Sets using Instance Selection,
, Expert Systems with Applications, Volume 35, p.1949-1965, (2008)
Multi-Objective Genetic Fuzzy Systems: On the Necessity of Including Expert Knowledge in the MOEA Design Process,
, Proceedings of the 2008 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), June, p.1446-1453, (2008)
On the use of Multiobjective Genetic Algorithms to Improve the Accuracy-Interpretability Trade-Off of Fuzzy Rule-Based Systems,
, Multi-objective Evolutionary Algorithms for Knowledge Discovery from Data Bases, Volume 98, (2008)
On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection,
, Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, Berlin, Heidelberg, p.91–107, (2008)
Replacement strategies to preserve useful diversity in steady-state genetic algorithms,
, Information Sciences, Volume 178, Number 23, p.4421–4433, (2008)
Subgroup Discovery in Large Size Data Sets Preprocessed Using Stratified Instance Selection for Increasing the Presence of Minority Classes,
, Pattern Recognition Letters, Volume 29, p.2156-2164, (2008)
Subgroup Discovery with Linguistic Rules,
, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, Berlin, Heidelberg, p.411–430, (2008)
Subgroup Discovery with Linguistic Rules,
, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, Berlin, Heidelberg, p.411–430, (2008)
A Multi-objectiveGenetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems,
, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Volume 15, Number 5, p.539–557, (2007)
A study on the Use of the Fuzzy Reasoning Method based on the Winning Rule Vs. Voting Procedure for Classification with Imbalanced Data Sets,
, Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN), June, San Sebastián (Spain), p.375-382, (2007)
An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets,
, International Workshop on Fuzzy Logic and Applications (WILF), July, Genova (Italy), p.170-179, (2007)
Análisis of Evolutionary Prototype Selection by means of a Data Complexity Measure based on Class Separabilty,
, Actas del Taller de Minería de Datos y Aprendizaje (TAMIDA), Zaragoza, p.145-152, (2007)
Aplicación de Algoritmos Evolutivos de Descubrimiento de Subgrupos en e-Learning: un Caso de Estudio,
, V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), Tenerife (Spain), p.493-500, (2007)
Aprendizaje Evolutivo de los Contextos de las Funciones de Pertenencia para Extraer Reglas de Asociación Difusas,
, Proceedings of the II Congreso Español de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy y Soft Computing (LFSC), September, p.25-32, (2007)
Evolutionary fuzzy rule induction process for subgroup discovery: a case study in marketing,
, IEEE Transactions on Fuzzy Systems, Volume 15, Number 4, p.578-592, (2007)
Evolutionary Stratified Training Set Selection for Extracting Classification Rules with trade off Precision-Interpretability,
, Data & Knowledge Engineering, Volume 60, Number 1, p.90-108, (2007)
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules,
, Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July, London (United Kingdom), p.1538-1543, (2007)
Multiobjective genetic algorithm for extractiong subgroup discovery fuzzy rules,
, 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (IEEE MCDM), Honolulu (USA), p.50-57, (2007)
Niching genetic feature selection algorithms applied to the design of fuzzy rule-based classification systems,
, 2007 IEEE International Fuzzy Systems Conference, July, p.1-6, (2007)
Preface: Special Issue on Genetic Fuzzy Systems and the Interpretability–Accuracy Trade-off,
, International Journal of Approximate Reasoning, 01, Volume 44, p.1-3, (2007)
Rule Base Reduction and Genetic Tuning of Fuzzy Systems based on the Linguistic 3-Tuples Representation,
, Soft Computing, Volume 11, Number 5, p.401-419, (2007)
Special issue on genetic fuzzy systems and the interpretability-accuracy trade-off,
, International Journal of Approximate Reasoning, Volume 44, p.1-3, (2007)
Statistical Comparisons by Means of Non-Parametric Tests: A Case Study on Genetic Based Machine Learning,
, Proceedings of the II Congreso Español de Informática (CEDI 2007). V Taller Nacional de Minería de Datos y Aprendizaje (TAMIDA), September, Zaragoza (Spain), p.95-104, (2007)
Un algoritmo memético para la selección de prototipos: Una propuesta eficiente para problemas de tamaño medio,
, Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), Tenerife, (2007)
A first study on the use of fuzzy rule based classification systems for problems with imbalanced data sets,
, Proceedings of the Symposium on Fuzzy Systems in Computer Science (FSCS), September, Magdeburg (Germany), p.63-72, (2006)
A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems,
, The Eighth International Conference on Artificial Intelligence and Soft Computing (ICAISC), Volume 4029, Zakopane (Poland), p.182-191, (2006)
A proposal of Evolutionary Prototype Selection for Class Imbalance Problems,
, Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Volume 4224, p.1415-1423, (2006)
Fuzzy Rule Reduction and Tuning of Fuzzy Logic Controllers for a HVAC System,
, Fuzzy Applications in Industrial Engineering, Studies in Fuzziness and Soft Computing, Volume 201, p.89-117, (2006)
Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems,
, 19th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE), Volume 4031, Annecy (France), p.452-461, (2006)
Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection,
, Modeling Decisions for Artificial Intelligence (MDAI), Volume 3885, Tarragona (Spain), p.317-328, (2006)
Incorporating Knowledge in Evolutionary Prototype Selection,
, Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Volume 4224, p.1358-1366, (2006)
Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing,
, 6th Industrial Conference on Data Mining (ICDM), Volume 4065, Leipzig (Germany), p.337-349, (2006)
Obtaining Compact and Still Accurate Linguistic Fuzzy Rule-Based Systems by Using Multi-Objetive Genetic Algorithms,
, Proceedings of the Symposium on Fuzzy Systems in Computer Science (FSCS), p.53-62, (2006)
On the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining,
, Applied Soft Computing, Volume 6, p.323-332, (2006)
Un primer estudio sobre el uso de los sistemas de clasificación basados en reglas difusas en problemas de clasificación con clases no balanceadas,
, 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,
, XIV Congreso Español sobre tecnologías y lógica fuzzy, 01, Ciudad Real (Español), (2006)
A Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining,
, Soft Computing: Methodologies and Applications, p.271-284, (2005)
Ajuste Evolutivo Lateral y de Amplitud de etiquetas para Sistemas Basados en Reglas Difusas,
, Simposio de Inteligencia Computacional (SICO), Granada (Spain), p.481-488, (2005)
Aprendizaje de reglas difusas mediante programación genética en problemas con alta dimensionalidad,
, I Simposio sobre Lógica Fuzzy y Soft Computing (LFSC), Granada (Spain), p.93-100, (2005)
Evolutionary Induction of Descriptive Rules in a Market Problem,
, Intelligent Data Mining. Techniques and Applications, Studies in Computational Intelligence, Volume 5, p.267-292, (2005)
Genetic Lateral and Amplitude Tuning of Membership Functions for Fuzzy Systems,
, Proceedings of the 2nd International Conference on Machine Intelligence (ACIDCA-ICMI), p.589-595, (2005)
Genetic tuning of fuzzy rule deep structures preserving interpretability for linguistic modeling,
, IEEE Transactions on Fuzzy Systems, Volume 13, Number 1, p.13-29, (2005)
Inducción evolutiva multiobjetivo de reglas de descripción de subgrupos en un problema de marketing,
, IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), Granada (Spain), p.661-669, (2005)
Instance Selection Using Evolutionary Algorithms: An Experimental Study,
, Advanced Techniques in Knowledge Discovery and Data Mining, London, p.127–152, (2005)
Learning compact fuzzy rule-based classification systems with genetic programming,
, 4th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), Barcelona (Spain), p.1027-1032, (2005)
Learning fuzzy rules using genetic programming: Context-free grammar definition for high-dimensionality problems,
, I International Workshop on Genetic Fuzzy Systems (GFS), Granada (Spain), p.136-141, (2005)
Multiobjective evolutionary induction of subgroup discovery rules in a market problem,
, 2nd International Conference on Machine Intelligence (ACIDCA-ICMI), Tozeur (Tunisia), p.610-617, (2005)
Replacement Strategies to Maintain Useful Diversity in Steady-State Genetic Algorithms,
, 01, p.85-96, (2005)
Strategies for Scaling Up Evolutionary Instance Reduction Algorithms for Data Mining,
, Evolutionary Computation in Data Mining, Berlin, Heidelberg, p.21–39, (2005)
Stratification for Scaling Up Evolutionary Prototype Selection,
, Pattern Recognition Letters, Volume 26, p.953-963, (2005)
Técnicas de reducción de datos en KDD,
, Minería de datos: Técnicas y Aplicaciones, Number 13-33, Sevilla (España), (2005)
Algoritmo Evolutivo de Extracción de reglas de Asociación aplicado a un problema de marketing,
, III Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados(MAEB), Córdoba (Spain), p.102-104, (2004)
Extacción de conocimiento con algoritmos evolutivos y reglas difusas,
, Introducción a la minería de datos, p.383-420, (2004)
Extracción de reglas DNF difusas en un problema de marketing,
, XII Congreso Español de Tecnologías y Lógica Difusa(ESTYLF), Jaén (Spain), p.351-356, (2004)
Proyecto KEEL: Desarrollo de una herramienta para el análisis e implementación de algoritmos de extracción de conocimiento evolutivos,
, 01, p.413-424, (2004)
Selección Evolutiva Estratificada de Conjuntos de Entrenamiento para la Obtención de Bases de Reglas con un Alto Equilibrio entre Precisión e Interpretabilidad,
, Tendencias de la Minería de Datos en Spain., p.263 - 274, (2004)
Un estudio empírico preliminar sobre los tests estadísticos más habituales en el aprendizaje automático,
, Tendencias de la minería de datos en España, Number 403-412, Santander (España), (2004)
- A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems,
, Intelligent Systems for Information Processing, Amsterdam, p.315 - 326, (2003)
A Multiobjective Genetic Learning Process for joint Feature Selection and Granularity and Contexts Learning in Fuzzy Rule-Based Classification Systems,
, Interpretability Issues in Fuzzy Modeling, Berlin, Heidelberg, p.79–99, (2003)
A Multiobjective Genetic Learning Process for joint Feature Selection and Granularity and Contexts Learning in Fuzzy Rule-Based Classification Systems,
, Interpretability Issues in Fuzzy Modeling, Berlin, Heidelberg, p.79–99, (2003)
An Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining,
, Proceedings of the 8th Online World Conference on Soft Computing in Industrial Applications, September, (2003)
Extracción Evolutiva de Reglas de Asociación en un Servicio de Urgencias Psiquiátricas,
, II Congreso español sobre Metaheurísticas, Algoritmos evolutivos y bioinspirados(MAEB), Gijón(Spain), p.548-555, (2003)
Linguistic Modeling with Hierarchical Systems of Weighted Linguistic Rules,
, International Journal of Approximate Reasoning, Volume 32, Number 2-3, p.187-215, (2003)
Replacement Strategies to Maintain Useful Diversity in Steady-State Genetic Algorithms,
, Proceedings of the 8th Online World Conference on Soft Computing in Industrial Applications, September, (2003)
Tuning fuzzy partitions or assigning weights to fuzzy rules: which is better?,
, Accuracy Improvements in Linguistic Fuzzy Modeling, Berlin, Heidelberg, p.366–385, (2003)
Using Evolutionary Algorithms as Instance Selection for Data Reduction in KDD: an Experimental Study,
, IEEE Transactions on Evolutionary Computation, Volume 7, Number 6, p.561-575, (2003)
A GRASP Algorithm for Clustering,
, Proceedings of the 8th Ibero-American Conference on Artifical Intelligence, Seville, Spain, November 12-15, 2002,, p.214–223, (2002)
A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure,
, Journal of Intelligent and Fuzzy Systems, Volume 12, Number 3-4, p.235–242, (2002)
Modelos Evolutivos de Extracción de Conocimiento en Aplicaciones Médicas: Enfermedad de Parkinson y Urgencias PSiquiátricas,
, Workshop de Minería de Datos y Aprendizaje Automático, 01, Santander (España), (2002)
Selección Evolutiva de Instancias en Minería de Datos,
, Workwhop de Minería de Datos y Aprendizaje Automático, 01, Santander (España), (2002)
Utilización de Algoritmos Genéticos Multiobjetivos para la Selección de Características y Diseño de la Base de Conocimiento de un Sistema de Clasificación Basado en Reglas Difusas,
, Congreso Español sobre Tecnologías y Lógica Fuzzy, 01, León (España), (2002)
A multiobjective genetic algorithm for feature selection and granularity learning in fuzzy-rule based classification systems,
, 08, Volume 3, p.1253 - 1258 vol.3, (2001)
Feature Selection Algorithms Applied to Parkinson's Disease,
, Medical Data Analysis, Berlin, Heidelberg, p.195–200, (2001)
Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process,
, Information Sciences, Volume 136, p.135-157, (2001)
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems,
, Information Sciences, Volume 136, Number 1, p.135 - 157, (2001)
Genetic tuning of fuzzy rule-based systems integrating linguistic hedges,
, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), July, Volume 3, p.1570-1574 vol.3, (2001)
Selecting Fuzzy-Ruled Based Classification System with Specific Reasoning Methods Using Genetical Algorithms,
, Joint 9th IFSA World congres and 20th Nafips International, 07, Praga, (2001)
Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modeling,
, Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications, Boston, MA, p.189–221, (2000)
Influencia del uso de modificadores lingüísticos y grados de certeza en un sistema de clasificación basados en reglas difusas,
, X Congreso Español sobre tecnologías y reglas difusas, 09, Santander (España), (2000)
A proposal on Reasoning Methods in Fuzzy Rule-Based Classification Systems,
, International Journal of Approximate Reasoning, Volume 20, p.21-45, (1999)
Analyzing the Reasoning Mechanisms in Fuzzy Rule-Based Classification Systems,
, Mathware & Soft Computing, Volume 5, p.321-332, (1999)
Hibridación de métodos filtro y de envoltura para selección de características,
, Conferencia de la asociación Española para la inteligencia artificial. III Jornada de transferencia tecnológica de inteligencia artificial., 01, Murcia (España), (1999)
MOGUL: A Methodology to Obtain Genetic fuzzy rule-based systems Ander the iterative rule Learning Approach,
, International Journal of Intelligent Systems, Volume 14, p.1123-1153, (1999)
Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques,
, Applied Intelligence, Jan, Volume 10, Number 1, p.5–24, (1999)
Analyzing the Reasoning Mechanism in Fuzzy Rule-Based Classification Systems,
, Mathware & Soft Computing, Volume 5, p.321-332, (1998)
Computing the spanish medium electrical line maintenance costs by means of evolution-based learning processes,
, Methodology and Tools in Knowledge-Based Systems, Berlin, Heidelberg, p.478–486, (1998)
Estimación de la Longitud de Línea de Baja Tensión Mediante Técnicas Evolutivas de Análisis de Datos,
, 8ª Reunión Nacional de Grupos de Investigación en Ingeniería Eléctrica, (1998)
Genetic Learning of Fuzzy Rule-Based Classification Systems Cooperating with Fuzzy Reasoning Methods,
, International Journal of Intelligent Systems, Volume 13, Number 10/11, p.1025-1053, (1998)
Métodos de razonamiento aproximado basados en el concepto de mayoría difusa para sistemas de clasificación,
, Congreso español sobre tecnología y lógica fuzzy, 09, Pamplona (España), (1998)
Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas,
, Revista Iberoamericana de Inteligencia Artificial, Volume 50, p.56-61, (1998)
An evolutionary paradigm for designing fuzzy rule-based systems from examples,
, 10, p.139 - 144, (1997)
Nuevos métodos de razonamiento en sistemas de clasificación basados en reglas difusas,
, Congreso español sobre tecnologías y lógica fuzzy., Tarragona, (1997)
Sistema de Clasificación con Reglas Difusas Utilizando Algoritmos Genéticos,
, VI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'96), Oviedo, (1996)