Publicaciones
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)
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)
DGLMExtPois: Advances in Dealing with Over and Under-dispersion in a Double GLM Framework,
, The R Journal, Volume 14, Number 4, p.121-140, (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)
Strategies for time series forecasting with generalized regression neural networks,
, Neurocomputing, Volume 491, p.509-521, (2022)
Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series,
, IEEE Access, Volume 10, p.3275-3283, (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 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)

An Internet of Things and Fuzzy Markup Language Based Approach to Prevent the Risk of Falling Object Accidents in the Execution Phase of Construction Projects,
, Sensors, Volume 21, Number 19, p.6461, (2021)
ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders,
, Information Sciences, Volume 565, p.146-176, (2021)
1-s2.0-S0020025521002024-main.pdf (1.79 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)

Decomposition-Fusion for Label Distribution Learning,
, Information Fusion, 02/2021, Volume 66, p.64-75, (2021)
1-s2.0-S1566253520303596-main.pdf (947.74 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)

Enhancing instance-level constrained clustering through differential evolution,
, Applied Soft Computing, Volume 108, Number 107435, p.1-19, (2021)
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)

Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms,
, International Work-Conference on Artificial Neural Networks (IWANN 2021), p.272–280, (2021)
Reducing Data Complexity using Autoencoders with Class-informed Loss Functions,
, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume In Press, (2021)
Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study,
, Hybrid Artificial Intelligent Systems, Cham, p.305–315, (2021)
Synthetic Sample Generation for Label Distribution Learning,
, Information Sciences, 01/2021, Volume 544, p.197-213, (2021)
1-s2.0-S0020025520307544-main.pdf (1.36 MB)

A Comprehensive and Didactic Review on Multilabel Learning Software Tools,
, IEEE Access, 03/2020, Volume 8, p.50330-50354, (2020)
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)

A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops ,
, 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), 08/2020, p.276-285, (2020)
Agglomerative Constrained Clustering Through Similarity and Distance Recalculation,
, International Conference on Hybrid Artificial Intelligence Systems, p.424-436, (2020)
An analysis of technological frameworks for data streams,
, Progress in Artificial Intelligence, 06/2020, Volume 9, p.239–261, (2020)
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)
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines,
, Information Fusion, 02/2020, Volume 54, p.44-60, (2020)
1-s2.0-S1566253519300880-main.pdf (895.14 KB)

DILS: Constrained clustering through dual iterative local search,
, Computers & Operations Research, Volume 121, p.104979, (2020)
1-s2.0-S0305054820300964-main.pdf (903.73 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)

El ecosistema de aprendizaje del estudiante universitario en la post-pandemia. Metodologías y herramientas,
, Enseñanza y Aprendizaje de Ingeniería de Computadores, Number 10, (2020)
EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search,
, Integrated Computer-Aided Engineering, 05/2020, Volume 27, Number 3, p.211-231, (2020)
FCharte-EvoAAAOpen.pdf (820.83 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)

Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism,
, GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 06/2020, p.333–341, (2020)
3377930.3390187.pdf (297.15 KB)

ProLSFEO-LDL: Prototype Selection and Label- Specific Feature Evolutionary Optimization for Label Distribution Learning,
, Applied Sciences, Volume 10, Issue 9, p.3089, (2020)
Similarity-based and Iterative Label Noise Filters for Monotonic Classification,
, Proceedings of the 53rd Hawaii International Conference on System Sciences, p.1698-1706, (2020)
0169.pdf (253.64 KB)

Temporal association rule mining: An overview considering the time variable as an integral or implied component,
, WIREs Data Mining and Knowledge Discovery, 04/2020, Volume 10, Issue 4, (2020)
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)

A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy,
, International Work-Conference on Artificial Neural Networks, 05/2019, p.270-280, (2019)
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)

Automatic Time Series Forecasting with GRNN: A Comparison with Other Models,
, International Work-Conference on Artificial Neural Networks, 05/2019, p.198-209, (2019)
Automating Autoencoder Architecture Configuration: An Evolutionary Approach,
, International Work-Conference on the Interplay Between Natural and Artificial Computation, 05/2019, p.339-349, (2019)
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)

Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems,
, IEEE Access, 08/2019, Volume 7, p. 108916-108939, (2019)
Label noise filtering techniques to improve monotonic classification,
, Neurocomputing, 08/2019, Volume 353, p.83-95, (2019)
1-s2.0-main.pdf (1.21 MB)

Monotonic classification: An overview on algorithms, performance measures and data sets,
, Neurocomputing, 05/2019, Volume 341, p.168-182, (2019)
1-s2.0-S0925231219302383-main.pdf (1.52 MB)

predtoolsTS: R package for streamlining time series forecasting,
, Progress in Artificial Intelligence, 06/2019, Volume 8, p.505–510, (2019)
Charte2019_Article_PredtoolsTSRPackageForStreamli.pdf (390.07 KB)

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)
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)

Time Series Forecasting with KNN in R: the tsfknn Package,
, The R Journal, 12/2019, Volume 11, Number 2, p.229-242, (2019)
RJ-2019-004.pdf (204.01 KB)

A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders,
, 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 Attempt on Monotonic Training Set Selection,
, Hybrid Artificial Intelligent Systems, Cham, p.277–288, (2018)
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)

AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction,
, International Journal of Computational Intelligence Systems, 11/2018, Volume 12, p.436-452, (2018)
125905686.pdf (3.86 MB)

An Approximation to Deep Learning Touristic-Related Time Series Forecasting,
, 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 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)

Análisis del impacto de datos desbalanceados en el rendimiento predictivo de redes neuronales convolucionales,
, XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018), 10, Granada (Spain), p.1213–1218, (2018)
2018-CAEPIA-DesbalanceoCNNs.pdf (228.43 KB)

Análisis preliminar de marcos tecnológicos en data stream,
, II Workshop en Big Data y análisis de datos escalable, 10, Granada (España), p.1117-1122, (2018)
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)

Credal C4.5 with Refinement of Parameters,
, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, Cham, p.739–747, (2018)
Dealing with seasonality by narrowing the training set in time series forecasting with kNN,
, Expert Systems with Applications, Volume 103, p.38 - 48, (2018)
Evolutionary Data Mining and Applications: A Revision on the Most Cited Papers from the Last 10 Years (2007-2017),
, WIREs Data Mining and Knowledge Discover, Volume 8, p.1-17, (2018)
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)

Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming,
, IEEE Transactions on Cybernetics, Nov, Volume 48, Number 11, p.3030-3044, (2018)
Modelos descriptivos basados en aprendizaje supervisado para el tratamiento de grandes volúmenes de datos y flujos continuos de datos,
, Proc. of the XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (XVIII CAEPIA), p.1402-1407, (2018)
2018_Garcia_DocConsCAEPIA.pdf (114.01 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)

Nuevas arquitecturas hardware de procesamiento de alto rendimiento para aprendizaje profundo,
, Enseñanza y aprendizaje de ingeniería de computadores. Revista de experiencias docentes en ingeniería de computadores, Volume 8, p.67–83, (2018)
2018-EAIC18-HardwareAltoRend-compressed.pdf (431.68 KB)

Reglas de asociación en datos multi-instancia mediante programación genética gramatical,
, IX Simposio de Teoría y Aplicaciones de la Minería de Datos, 10, Granada, p.815-820, (2018)
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)

Una primera aproximación a la predicción de variables turísticas con Deep Learning,
, XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018), 10, Granada (Spain), p.939–943, (2018)
2018-CAEPIA-TurismoLSTMs.pdf (127.66 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 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 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 methodology for applying k-nearest neighbor to time series forecasting,
, Artificial Intelligence Review, Nov, (2017)
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)

A specialized lazy learner for time series forecasting,
, 17th International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2017, 7, Costa Ballena, Rota, Cáadiz (Spain), p.1397–1403, (2017)
2017-CMMSE-SpecializedLazyLearner.pdf (211.11 KB)

A Transformation Approach Towards Big Data Multilabel Decision Trees,
, 14th International Work-Conference on Artificial Neural Networks (IWANN 2017), 6, Cádiz (Spain), p.73–84, (2017)
2017-IWANN-BigDataMLDT.pdf (372.37 KB)

Additive similarity and dissimilarity measures,
, Fuzzy Sets and Systems, Volume 322, p.35 - 53, (2017)
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)

CommuniMents: A Framework for Detecting Community Based Sentiments for Events,
, International Journal on Semantic Web and Information Systems, Volume 13, Issue 2, p.87-108, (2017)
Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass,
, Computers & Chemical Engineering, Volume 101, p.23–30, (2017)
2017-CACE-Biomasa.pdf (1.28 MB)

Detecting hidden periodicities for models with cyclical errors,
, Statistics and Its Interface, 04, Volume 10, Number 1, p.107-118, (2017)
Evolución tecnológica del hardware de vídeo y las GPU en los ordenadores personales,
, Enseñanza y aprendizaje de ingeniería de computadores. Revista de experiencias docentes en ingeniería de computadores, Volume 7, p.111–128, (2017)
2017-EAIC17-EvolucionGPUs.pdf (2.1 MB)

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)

Is the average photon energy a unique characteristic of the spectral distribution of global irradiance?,
, Solar Energy, Volume 149, p.32–43, (2017)
2017-SolarEnergy-Photon-compressed.pdf (534.33 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)
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)
Mining association rules in R using the package RKEEL,
, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July, p.1-6, (2017)
Modeling the Transformation of Olive Tree Biomass into Bioethanol with Reg-CO2RBFN,
, 14th International Work-Conference on Artificial Neural Networks (IWANN 2017), 6, Cádiz (Spain), p.733–744, (2017)
2017IWANN-Biomass.pdf (158.82 KB)

MoNGEL: monotonic nested generalized exemplar learning,
, Pattern Analysis and Applications, May, Volume 20, Number 2, p.441–452, (2017)
On the Impact of Imbalanced Data in Convolutional Neural Networks Performance,
, 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)

Prototype selection to improve monotonic nearest neighbor,
, Engineering Applications of Artificial Intelligence, Volume 60, p.128 - 135, (2017)
Time series forecasting using evolutionary neural nets implemented in a volunteer computing system,
, Intelligent Systems in Accounting, Finance and Management, Volume 24, Number 2-3, p.87-95, (2017)
Training set selection for monotonic ordinal classification,
, Data & Knowledge Engineering, Volume 112, p.94 - 105, (2017)
Using fuzzy preference orderings in theta-dominance with application to health monitoring of Li-ion batteries,
, Journal of Multiple-Valued Logic and Soft Computing, (2017)
Uso de dispositivos FPGA como apoyo a la enseñanza de asignaturas de arquitectura de computadores,
, Enseñanza y aprendizaje de ingeniería de computadores. Revista de experiencias docentes en ingeniería de computadores, Volume 7, p.37–52, (2017)
2017-EAIC17-FPGAsEnsenanza.pdf (1.48 MB)

A Nearest Hyperrectangle Monotonic Learning Method,
, Proceedings of the 11th International Conference Hybrid Artificial Intelligent Systems, 2016, Seville, Spain, April 18-20, 2016, p.311–322, (2016)
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)

An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia,
, Neurocomputing, Volume 176, p.60 - 71, (2016)
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)

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)

Assessment of Multi-Objective Optimization Algorithms for Parametric Identification of a Li-Ion Battery Model,
, Hybrid Artificial Intelligent Systems, Cham, p.250–260, (2016)
Battery diagnosis for electrical vehicles through semi-physical fuzzy models,
, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July, p.416-423, (2016)
Combining simple exponential smoothing models for time series forecasting,
, International work-conference on Time Series, ITISE 2016, 6, Granada (Spain), p.635-644, (2016)
2016-ITISE-ExponentialSmoothing.pdf (1.13 MB)

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)

Explotación de la potencia de procesamiento mediante paralelismo: un recorrido histórico hasta la GPGPU,
, Enseñanza y aprendizaje de ingeniería de computadores. Revista de experiencias docentes en ingeniería de computadores, Volume 6, p.19–33, (2016)
2016-EAIC16-Paralelismo.pdf (1.16 MB)

Finding informative code metrics under uncertainty for predicting the pass rate of online courses,
, Information Sciences, Volume 373, p.42 - 56, (2016)
Gamificación en procesos de autoentrenamiento y autoevaluación. Experiencia en la asignatura de Arquitectura de Computadores,
, Volume 6, p.55-65, (2016)
Genetic Fuzzy Modelling of Li-Ion Batteries Through a Combination of Theta-DEA and Knowledge-Based Preference Ordering,
, Advances in Artificial Intelligence, Cham, p.310–320, (2016)
Hyperrectangles Selection for Monotonic Classification by Using Evolutionary Algorithms,
, International Journal Computational Intelligence Systems, Volume 9, Number 1, p.184–201, (2016)
Improving the Eco-Efficiency of High Performance Computing Clusters Using EECluster,
, Energies, 03, Volume 9, p.197, (2016)
Leveraging a predictive model of the workload for intelligent slot allocation schemes in energy-efficient HPC clusters,
, Engineering Applications of Artificial Intelligence, Volume 48, p.95 - 105, (2016)
Machine learning models, epistemic set-valued data and generalized loss functions: An encompassing approach,
, Information Sciences, Volume 358-359, p.129 - 150, (2016)
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)

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)

Recognition of Activities in Resource Constrained Environments; Reducing the Computational Complexity,
, Ubiquitous Computing and Ambient Intelligence, Cham, p.64–74, (2016)
RKEEL: Using KEEL in R code,
, 07, p.257-264, (2016)
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)

Web Browser-Based Forecasting of Economic Time-Series,
, Decision Economics, In Commemoration of the Birth Centennial of Herbert A. Simon 1916-2016 (Nobel Prize in Economics 1978), Cham, p.35–42, (2016)
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)

A software tool to efficiently manage the energy consumption of HPC clusters,
, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Aug, p.1-8, (2015)
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)
An ensemble strategy for forecasting the extra-virgin olive oil price in Spain,
, International work-conference on Time Series, ITISE 2015, 7, Granada (Spain), p.506–516, (2015)
2015-ITISE-ForecastOliveOil.pdf (547.65 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)

CO2RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design,
, 13th International Work-Conference on Artificial Neural Networks (IWANN 2015), 6, Palma de Mallorca (Spain), p.361–373, (2015)
Energy-Efficient Sound Environment Classifier for Hearing Aids Based on Multi-objective Simulated Annealing Programming,
, 10th International Conference on Soft Computing Models in Industrial and Environmental Applications, Cham, p.261–270, (2015)
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)

Generalized stochastic orderings applied to the study of perfomance of machine learning algorithm,
, The 16th World Congress of the International Fuzzy Systems Association (IFSA) and the 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), 06, Gijón, Asturias(Spain), (2015)
Genetic learning of the membership functions for mining fuzzy association rules from low quality data,
, Information Sciences, Volume 295, p.358 - 378, (2015)
Local iterative DLT soft-computing vs. interval-valued stereo calibration and triangulation with uncertainty bounding in 3D reconstruction,
, Neurocomputing, Volume 167, p.44 - 51, (2015)
mldr: Paquete R para Exploración de Datos Multietiqueta,
, XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2015), 11, Albacete (Spain), p.695–704, (2015)
2015-CAEPIA-mldr.pdf (2.39 MB)

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)

MoNGEL: monotonic nested generalized exemplar learning,
, Pattern Analysis and Applications, p.1–12, (2015)
Online SOC estimation of Li-FePO4 batteries through an observer of the system state with minimal nonspecificity,
, 08, p.1-8, (2015)
Predicción a muy corto plazo de series temporales de volumen de tráfico rodado mediante co-evolución de RNFBR,
, Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), Mérida - Almendralejo (Spain), p.181-188, (2015)
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)
Sequential pattern mining applied to aeroengine condition monitoring with uncertain health data,
, Engineering Applications of Artificial Intelligence, Volume 44, p.10 - 24, (2015)
Subgroup Discovery through Evolutionary Fuzzy Systems applied to Bioinformatics problems,
, Leicester, United Kingdom, p.1-28, (2015)
TR2015.pdf (369.13 KB)

The behavioral meaning of the median,
, Information Sciences, Volume 294, p.127 - 138, (2015)
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)

Working with Multilabel Datasets in R: The mldr Package,
, The R Journal, Volume 7, Number 2, p.149–162, (2015)
2015-RJournal-mldr.pdf (1.16 MB)

A design methodology for semi-physical fuzzy models applied to the dynamic characterization of LiFePO4 batteries,
, Applied Soft Computing, Volume 14, p.269 - 288, (2014)
A Procedure for Extending Input Selection Algorithms to Low Quality Data in Modelling Problems with Application to the Automatic Grading of Uploaded Assignments,
, TheScientificWorldJournal, (2014)
Addressing Imbalanced Classification with Instance Generation Techniques: IPADE-ID,
, Neurocomputing, Volume 126, p.15-28, (2014)
2014-Lopez-NEUROCOMPUTING.pdf (933.25 KB)

An ensemble method for time series forecasting with simple exponential smoothing,
, Conference Computational and Mathematical Methods in Science and Engineering, 07, Rota, Cádiz (Spain), (2014)
An Equivalent Circuit Model With Variable Effective Capacity for LiFePO4 Batteries,
, IEEE Transactions on Vehicular Technology, 10, Volume 63, p.3592-3599, (2014)
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)
Bootstrap analysis of multiple repetitions of experiments using an interval-valued multiple comparison procedure,
, Journal of Computer and System Sciences, Volume 80, Number 1, p.88 - 100, (2014)
Comments on “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization” by Eyke Hüllermeier,
, International Journal of Approximate Reasoning, Volume 55, Number 7, p.1583 - 1587, (2014)
Comparison and Design of Interpretable Linguistic vs. Scatter FRBSs: GM3M Generalization and New Rule Meaning Index (RMI) for Global Assessment and Local Pseudo-Linguistic Representation,
, Information Sciences, Volume 282, p.190–213, (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)

Cost-Sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems Using FURIA,
, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 10, Volume 22, p.643-675, (2014)
Harnessing the information contained in low-quality data sources,
, Int. J. Approx. Reasoning, Volume 55, p.1485-1486, (2014)
Interval-valued Blind Source Separation Applied to AI-based Prognostic Fault Detection of Aircraft Engines,
, Journal of Multiple-Valued Logic and Soft Computing, 01, Volume 22, p.151-166, (2014)
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification,
, IEEE Transactions on Neural Networks and Learning Systems, 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)

Mutual Information-Based Feature Selection in Fuzzy Databases Applied to Searching for the Best Code Metrics in Automatic Grading,
, Hybrid Artificial Intelligence Systems, Cham, p.330–341, (2014)
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)

Propuesta de una asignatura de Diseño de Servidores para la especialidad de Tecnologías de Información,
, Enseñanza y aprendizaje de ingeniería de computadores. Revista de experiencias docentes en ingeniería de computadores, Volume 4, p.15–24, (2014)
2014-EAIC14-AsignaturaDisenoServ.pdf (864.57 KB)

Selecting the Most Informative Inputs in Modelling Problems with Vague Data Applied to the Search of Informative Code Metrics for Continuous Assessment in Computer Science Online Courses,
, Rough Sets and Current Trends in Computing, Cham, p.299–308, (2014)
Short, medium and long term forecasting of time series using the L-Co-R algorithm,
, Neurocomputing, Volume 128, p.433-446, (2014)
Supervising classrooms comprising children with dyslexia and other learning problems with graphical exploratory analysis for fuzzy data: Presentation of the software tool and case study,
, IEEE International Conference on Fuzzy Systems, 07, p.2133-2140, (2014)
The notion of roughness of a fuzzy set,
, Fuzzy Sets and Systems, Volume 249, p.114 - 127, (2014)
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 first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments,
, The 2013 International Joint Conference on Neural Networks (IJCNN), Aug, p.1-8, (2013)
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 Genetic Fuzzy Linguistic Combination Method for Fuzzy Rule-based Multiclassifiers Revista: IEEE Transactions on Fuzzy Systems,
, IEEE Transactions on Fuzzy Systems, 01, Volume 21, Number 5, p.950-965, (2013)
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)
A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotorblade leading edge materials,
, Mechanical Systems and Signal Processing, 06, Volume 37, p.76-91, (2013)
A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO2RBFN,
, Soft Computing Models in Industrial and Environmental Applications, Berlin, Heidelberg, p.439–448, (2013)
Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks,
, 12th International Work-Conference on Artificial Neural Networks (IWANN 2013), Tenerife (Spain), p.331-338, (2013)
2013-IWANN-AlternativeOVA.pdf (146.42 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)

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)
Analysis of data complexity measures for classification,
, Expert Systems with Applications, Volume 40, Number 12, p.4820–4831, (2013)
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)

Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks,
, Expert Systems with Applications, 04, Volume 40, Number 05, p.1599–1608, (2013)
CI-LQD: A software tool for modeling and decision making with Low Quality Data,
, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July, p.1-8, (2013)
Descubrimiento de subgrupos aplicado al portal de comercio electrónico: OrOliveSur.com,
, Jaén, España, p.1-16, (2013)
TR-SD-OrOliveSur.pdf (634.62 KB)

Engine Health Monitoring for engine fleets using fuzzy radviz,
, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July, p.1-8, (2013)
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)

Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?,
, Knowledge-Based Systems, Volume 54, p.3 - 21, (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)

Predicción de tráfico mediante co-evolución de Redes Neuronales de Funciones de Base Radial y selección de variables de entrada,
, Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), Madrid (Spain), p.782-791, (2013)
Similarity and dissimilarity measures between fuzzy sets: A formal relational study,
, Inf. Sci., Volume 229, p.122-141, (2013)
The L-Co-R Co-evolutionary Algorithm: A Comparative Analysis in Medium-term Time-series Forecasting Problems,
, International Joint Conference on Computational Intelligence (IJCCI), Vilamoura, Algarve (Portugal), p.144-151, (2013)
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)

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 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)

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)
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)

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)
Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems,
, International Journal of Computational Intelligence Systems, Volume 5, Number 2, p.368-386, (2012)
Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm,
, Soft Computing, Volume 16, Number 6, p.919-942, (2012)
COMBINING ADABOOST WITH PREPROCESSING ALGORITHMS FOR EXTRACTING FUZZY RULES FROM LOW QUALITY DATA IN POSSIBLY IMBALANCED PROBLEMS,
, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Volume 20, Number supp02, p.51-71, (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)
Eliciting a human understandable model of ice adhesion strength for rotor blade leading edge materials from uncertain experimental data,
, Expert Systems with Applications, Volume 39, Number 11, p.10212 - 10225, (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)
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)

IIVFDT: Ignorance Functions based Interval-Valued Fuzzy Decision Tree with Genetic Tuning. International Journal of Uncertainty,
, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, (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)

Mining Fuzzy Association Rules from Low Quality Data,
, Soft Computing, Volume 16, Number 5, p.883-901, (2012)
Predictive-collaborative model as recovery and validation tool. Case of study: Psychiatric emergency department decision support,
, Expert Systems with Applications, Volume 39, Number 4, p.4044–4048, (2012)
PRESETEMP: Predicción de Series Temporales mediante técnicas de Minería de Datos,
, Proyectos de Investigación 2009-10, (2012)
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)
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)

Universol Project. Final Results,
, 26 th European Photovoltaic Solar Energy Conference, 01, Hamburgo, Alemania, (2012)
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)

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)
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods,
, Applied Intelligence, Jun, Volume 34, Number 3, p.331–346, (2011)
A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price,
, Advances in Artificial Intelligence, Berlin, Heidelberg, p.263–272, (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)

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 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)

Future Performance Modeling in Athletism with Low Quality Data-based Genetic Fuzzy Systems,
, Multiple-Valued Logic and Soft Computing, 01, Volume 17, p.207-228, (2011)
Inner and outer fuzzy approximations of confidence intervals,
, Fuzzy Sets and Systems, Volume 184, Number 1, p.68 - 83, (2011)
Interpretability of Linguistic Fuzzy Rule-Based Systems: An Overview of Interpretability Measures,
, Information Sciences, Volume 181, Number 20, p.4340–4360, (2011)
Introducción de información geográfica en terrenos 3D,
, Gestión de información urbana tridimensional, p.71-82, (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)
Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data,
, International Journal of Approximate Reasoning, Volume 52, Number 6, p.841 - 862, (2011)
Managing stochastic algorithms cross-validation variability using an interval valued multiple comparison procedure,
, International Conference on Intelligent Systems Design and Applications, 11, p.1391-1396, (2011)
Mark-recapture techniques in statistical tests for imprecise data,
, International Journal of Approximate Reasoning, Volume 52, Number 2, p.240 - 260, (2011)
Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification,
, 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)

Obtaining fuzzy rules from interval-censored data with genetic algorithms and a random sets-based semantic of the linguistic labels,
, Soft Comput., 10, Volume 15, p.1945-1957, (2011)
On the discovery of association rules by means of evolutionary algorithms,
, Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery, 09, Volume 1, Number 5, p.397-415, (2011)
Operaciones Booleanas sobre polígonos,
, Gestión de información urbana tridimiensional, Jaén (España), p.101-110, (2011)
Singular spectral analysis of ill-known signals and its application to predictive maintenance of windmills with SCADA records,
, Soft Computing, 05, Volume 16, (2011)
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)

The Magina Project. The Renewables Potential for Electricity Production in the Province of Jaen, Southern Spain,
, 11, p.3452-3459, (2011)
Using the Adaboost algorithm for extracting fuzzy rules from low quality data: Some preliminary results,
, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), June, p.1263-1270, (2011)
Visualización de medios participativos en entornos urbanos,
, Gestión de información urbana tridimiensional, p.151-157, (2011)
A coevolutionary genetic algorithm able to learn a FRBS and detect the less informative instances in low quality problems,
, Congreso Español sobre tecnologías y lógica fuzzy, 01, Huelva (España), (2010)
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)

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 an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets,
, Pattern Recognition Letters, 11, Volume 31, Number 15, p.2375-2388, (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)
Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem,
, Expert Syst. Appl., 06, Volume 37, p.4050-4057, (2010)
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)

Comparison of response surface methodology and artificial neural network applied to enzymatic hydrolysis of rapeseed straw,
, Journal of Biotechnology, Volume 150, p.137, (2010)
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)

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)
Introducing a genetic fuzzy linguistic combination method for bagging fuzzy rule-based multiclassification systems,
, 2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS), March, p.75-80, (2010)
Introduction to the Experimental Design in the Data Mining Tool KEEL,
, 01, p.1-25, (2010)
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)

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)
Potenciando el aprendizaje proactivo con ILIAS&WebQuest: aprendiendo a paralelizar algoritmos con GPUs,
, Jornadas de enseñanza universitaria de la informática, 01, Santiago de Compostela (España), (2010)
Predicción de Series Temporales a largo plazo mediante Algoritmos Meta-evolutivos y Redes Neuronales de Funciones Base Radial,
, III Simposio de Inteligencia Computacional (SICO), September, Valencia, p.49-56, (2010)
Preprocessing vague imbalanced datasets and its use in genetic fuzzy classifiers,
, International Conference on Fuzzy Systems, July, p.1-8, (2010)
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)

ReturnOK: El pasado de la computación personal,
, V Congreso Internacional de Patrimonio e Historia de la Ingeniería, 4, Las Palmas de Gran Canaria (Spain), p.1–19, (2010)
2010-CIPHI-Actas.pdf (1.16 MB)

ReturnOK, la Wiki sobre retroinformática,
, Iniciación a la Investigación, Volume 5, p.1-5, (2010)
2010-IniciaInvUJA-ReturnOK.pdf (82.73 KB)

Simulating multi-self-similar spatiotemporal models with CUDA,
, COMPSTAT 2010, París, del 22 al 27 de Agosto, p.341-341, (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)
The multi-LREP decomposition of solids and its application to a point-in-polyhedron inclusion test,
, The Visual Computer, 11, Volume 26, p.1361-1368, (2010)
Time Series forecasting: Automatic Determination of Lags and Radial Basis Neural Networks for a Changing Horizon Environment,
, 2010 IEEE World Congress on Computational Intelligence, July, Barcelona (Spain), p.4023-4029, (2010)
A Baseline Learning Genetic Fuzzy Classifier Based on Low Quality Data.,
, 01, p.803-808, (2009)
A Minimum-Risk Genetic Fuzzy Classifier Based on Low Quality Data,
, Hybrid Artificial Intelligence Systems, Berlin, Heidelberg, p.654–661, (2009)
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 new algorithm for computing Boolean operations on polygons,
, Computers & Geosciences, Volume 35, Number 6, p.1177 - 1185, (2009)
A Preliminar Analysis of CO2RBFN in Imbalanced Problems,
, Bio-Inspired Systems: Computational and Ambient Intelligence, Berlin, Heidelberg, p.57–64, (2009)
A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design,
, International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008), Berlin, Heidelberg, p.663–671, (2009)
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)

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)
Algoritmos simbióticos para la generación de redes RBF: comparativa entre codificaciones real y binaria,
, VI Congreso Español sobre Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (MAEB), February, Málaga, p.341-348, (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)

CO2RBFN: An evolutionary cooperative-competitive RBFN design algorithm for classification problems,
, Soft Computing, 07, Volume 14, p.953-971, (2009)
Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification,
, International Work-Conference on Artificial Neural Networks (IWANN), June, Salamanca (Spain), p.37-40, (2009)
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)
Diplomatura de estadística e ingeniería técnica de informática de gestión,
, Planes de acción tutorial en la universidad, Jaén, p.249-270, (2009)
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)

Enhanced Radial Basis Function Neural Network Design Using Parallel Evolutionary Algorithms,
, 11th International Conference on Engineering Applications of Neural Networks (EANN), August, London, p.269-280, (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)
E-tsRBF: Automatic determination of lags to forecast time series by means of Radial Basis Function Neural Networks,
, I International Workshop on Mining of Non-Conventional Data (MINCODA), November, Sevilla (Spain), p.42-49, (2009)
E-tsRBF: preliminary results on the simultaneous determination of time-lags and parameters of Radial Basis Function Neural Networks for time series forecasting,
, 9th International Conference on Intelligent Systems Design and Applications, December, Pisa (Italy), p.1445-1449, (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)
Evolutionary and metaheuristics based data mining,
, Soft Computing: a fusion of methodologies and applications, Volume 13, p.209-212, (2009)
Extending a simple genetic cooperative-competitive learning fuzzy classifier to low quality datasets,
, Evolutionary Intelligence, 11, Volume 2, p.73-84, (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)
GFS-Based Analysis of Vague Databases in High Performance Athletics,
, 09, p.602-609, (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)

Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms,
, Soft Comput., 03, Volume 13, p.467-479, (2009)
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)
Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms,
, International Work-Conference on Artificial Neural Networks (IWANN), June, Salamanca (Spain), p.383-390, (2009)
Study of the robustness of a meta-algorithm for the estimation of parameters in Radial Basis Function Neural Networks design,
, Neural Network World, Volume 19, Number 1, p.81-94, (2009)
Symbpar vs Symbiotic_CHC_RBF: Diseñando redes de base radial de forma coevolutiva y paralela,
, VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), February, Málaga, p.231-238, (2009)
Taximeter verification using imprecise data from GPS,
, Engineering Applications of Artificial Intelligence, Volume 22, Number 2, p.250 - 260, (2009)
Taximeter verification with GPS and soft computing techniques,
, Soft Computing, Mar, Volume 14, Number 4, p.405, (2009)
Tests de inclusión punto en objeto basados en árboles de intervalos,
, Congreso Español de Informática Gráfica, San Sebastián, p.57-64, (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 first study on bagging fuzzy rule-based classification systems with multicriteria genetic selection of the component classifiers,
, 2008 3rd International Workshop on Genetic and Evolving Systems, March, p.11-16, (2008)
A memetic algorithm for Evolutionary Prototype Selection: A Scaling Up Approach,
, Pattern Recognition, Volume 41, Number 8, p.2693-2709, (2008)
A Minimum Risk Wrapper Algorithm for Genetically Selecting Imprecisely Observed Features, Applied to the Early Diagnosis of Dyslexia,
, Lecture Notes in Computer Science - LNCS, 09, Volume 5271, p.608-615, (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)
A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design,
, DCAI 2008: International Symposium on Distributed Computing and Artificial Intelligence, Salamanca, Volume 50/2009, p.663-671, (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)
An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market,
, 2008 Eighth International Conference on Hybrid Intelligent Systems, Sep., p.943-946, (2008)
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)

Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm,
, HAIS 2008: 3rd International Workshop on Hybrid Artificial Intelligence System, October, p.140-147, (2008)
Defuzzification of Fuzzy p-Values,
, Soft Methods for Handling Variability and Imprecision, Berlin, Heidelberg, p.126–132, (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)
Fuzzy-genetic optimization of the parameters of a low cost system for the optical measurement of several dimensions of vehicles,
, Soft Computing, Jun, Volume 12, Number 8, p.751–764, (2008)
Higher order models for fuzzy random variables,
, Fuzzy Sets and Systems, Volume 159, Number 3, p.237 - 258, (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)
Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data,
, International Journal of Approximate Reasoning, Volume 49, Number 3, p.607 - 622, (2008)
Obtaining transparent models of chaotic systems with multi-objective simulated annealing algorithms,
, Information Sciences, Volume 178, Number 4, p.952 - 970, (2008)
On the Use of Bagging, Mutual Information-Based Feature Selection and Multicriteria Genetic Algorithms to Design Fuzzy Rule-Based Classification Ensembles,
, 2008 Eighth International Conference on Hybrid Intelligent Systems, Sep., p.549-554, (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)
Parameter Estimation for Radial Basis Function Neural Network Design by Means of Two Symbiotic Algorithms,
, Proceedings of the 2008 The Second International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP), September, Valencia (Spain), p.164-169, (2008)
Replacement strategies to preserve useful diversity in steady-state genetic algorithms,
, Information Sciences, Volume 178, Number 23, p.4421–4433, (2008)
Sistemas Basados en Reglas Difusas en Clasificación: Nuevos Retos,
, XIV Congreso Español sobre tecnologías y lógica fuzzy, 09, Cuencas Mineras Asturianas (España), (2008)
Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design,
, Proceedings of the 2008 Eighth International Conference on Hybrid Intelligent Systems (HIS), September, Barcelona (Spain), p.519-524, (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)
Utilización de un sistema basado en reglas difusas para la aplicación de operadores en un algoritmo cooperativo-competitivo,
, XIV Congreso Español sobre tecnologías y logica fuzzy, 09, Cuencas Mineras Asturianas, (2008)
A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems,
, Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July, London (United Kingdom), p.1367-1372, (2007)
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 new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks,
, Soft Computing, May, Volume 11, Number 7, p.655–668, (2007)
A simple and fast hardware-accelerated point-in-polygon test,
, GRAPP, (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)
Advocating the Use of Imprecisely Observed Data in Genetic Fuzzy Systems,
, IEEE Transactions on Fuzzy Systems, Aug, Volume 15, Number 4, p.551-562, (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)
Boosting fuzzy rules in classification problems under single-winner inference,
, Int. J. Intell. Syst., Volume 22, p.1021-1034, (2007)
CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm,
, 06, p.324-332, (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)
Experimentando con la paralelización de un problema de cálculo utilizando hardware gráfico,
, XVIII Jornadas de Paralelismo, Zaragoza, del 11 al 14 de Septiembre, p.791-798, (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)
LA DESCOMPOSICIÓN MULTI-L-REP DE POLIEDROS,
, Hacad: Herramientas avanzadas en CAD, Jaén (España), p.207-222, (2007)
La descomposición multi-L-REP de sólidos y su aplicación a un test de inclusión,
, XVII Congreso Español de Informática Gráfica, Zaragoza, del 11 al 14 de Septiembre, p.159-168, (2007)
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms,
, 2007 IEEE International Fuzzy Systems Conference, July, p.1-6, (2007)
Modeling Vague Data with Genetic Fuzzy Systems under a Combination of Crisp and Imprecise Criteria,
, 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, April, p.30-37, (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)
Selecting an Appropriate Statistical Test for Comparing Multiple Experiments in Evolutionary Machine Learning,
, 09, (2007)
Servicios de información sobre la EPSJ basados en entornos de publicación,
, Free Libre Open Source Systems International Conference, March, Jerez de la Frontera (Cádiz), p.67-82, (2007)
Some Results about Mutual Information-based Feature Selection and Fuzzy Discretization of Vague Data,
, 2007 IEEE International Fuzzy Systems Conference, July, p.1-6, (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 Multiobjective Genetic Fuzzy System with Imprecise Probability Fitness for Vague Data,
, 2006 International Symposium on Evolving Fuzzy Systems, Sep., p.131-136, (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)
Boosting of fuzzy models for high-dimensional imprecise datasets,
, Information Processing and Management of Uncertainty in Knowledge-Based Systems, 07, París (Francia), (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 Algorithms for Estimating Longest Path from Inherently Fuzzy Data Acquired with GPS,
, Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning, Berlin, Heidelberg, p.232–240, (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)
Induction of descriptive fuzzy classifiers with the Logitboost algorithm,
, Soft Computing, Jul, Volume 10, Number 9, p.825–835, (2006)
Knowledge Extraction from Fuzzy Data for Estimating Consumer Behavior Models,
, 2006 IEEE International Conference on Fuzzy Systems, July, p.164-170, (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)
Obtención de Sistemas Basados en Reglas Difusas Precisos y Compactos Mediante Algoritmos Genéticos Multiobjetivo,
, Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), p.1-6, (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)
The multi-L-REP decomposition and its application to a point-in-polygon inclusion test,
, Computers & Graphics, 12, Volume 30, p.947-958, (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 fuzzy definition of mutual information with application to the design of genetic fuzzy classifiers,
, International Conference on Machine Intelligencea: ACIDCA-ICMI , 01, Tunez, (2005)
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)
Application of ANOVA to a Cooperative-Coevolutionary Optimization of RBFNs,
, Lecture Notes in Computer Science, 06, Volume 3512, p.297-305, (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)
De la teoría a la práctica: una reflexión sobre el EEES en aula,
, Adaptación del profesorado universitario al espacio europeo de educación superior mediante el uso de nuevas tecnologías, Number 69-77, Jaén (España), (2005)
Estudio de las Fases de un Algoritmo de Optimización para Redes de Funciones de Base Radial,
, Actas del Simposio de Inteligencia Computacional (SICO), September, Granada. Spain, p.237-244, (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)
IN-RECS: Índice de Impacto de las Revistas Españolas de Ciencias Sociales,
, Proceedings of the IX Jornadas Españolas de Documentación, (2005)
Instance Selection Using Evolutionary Algorithms: An Experimental Study,
, Advanced Techniques in Knowledge Discovery and Data Mining, London, p.127–152, (2005)
Layer-based Decompositions of Polyhedra,
, International Conference in Central Europe on Computer Graphics Visualization and Computer Vision, January, (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)
Managing imprecisely observed data in Genetic Fuzzy Models by means of a fuzzy-valued fitness function,
, Congreso español de metaheurísticas, algoritmos evolutivos y bioinspirados., 01, Granada (España), (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)
A fast genetic method for inducting descriptive fuzzy models,
, Fuzzy Sets and Systems, 01, Volume 141, p.33-46, (2004)
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)
Algoritmo GA-P Difuso para la Generación de Controladores en Edificios Inteligentes,
, Congreso español de metaheurísticas, algoritmos evolutivos y bioinspirados., 01, Córdoba (España), (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)
Induction of Fuzzy Rule Based Classifiers with Evolutionary Boosting Algorithms,
, IEEE Transactions on Fuzzy Systems, Volume 12, Number 3, p.296-308, (2004)
Predicción de series temporales mediante la coevolución de funciones base,
, Tercer Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados MAEB, February, p.585-592, (2004)
Preliminary results on the application of boosting to learn weighted fuzzy rules under single-winner inference,
, Congreso español de metaheurísticas, algoritmos evolutivos y bioinspirados., Córdoba-España, (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)
Supply Estimation Using Coevolutionary Genetic Algorithms in the Spanish Electrical Market,
, Applied Intelligence, 07, Volume 21, p.7-24, (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)
Una estrategia difusa para la aplicación de operadores en un algoritmo evolutivo,
, XII Congreso Español sobre Tecnologías y Lógica Fuzzy(ESTYLF), September, Jaén, p.593-598, (2004)
3D motion estimation of bubbles of gas in fluid glass, using an optical flow gradient technique extended to a third dimension,
, Machine Vision and Applications, Jul, Volume 14, Number 3, p.185–191, (2003)
- 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)
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)
Co-Evolutionary Algorithm for RBF by Self- Organizing Population of neurons,
, 06, Volume 2686, p.470-477, (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)
GA-P Based Search of Structures and Parameters of Dynamital Process Models,
, Advances in Soft Computing, p.371-380, (2003)
Genetic Search of Block-Based Structures of Dynamical Process Models,
, 06, Volume 2686, p.526-533, (2003)
Linguistic Modeling with Hierarchical Systems of Weighted Linguistic Rules,
, International Journal of Approximate Reasoning, Volume 32, Number 2-3, p.187-215, (2003)
Optimización de redes de RBFs mediante cooperación-competición de neuronas y algoritmos de minimización de error,
, MAEB, February, p.499-508, (2003)
Optimizing Supply Strategies in the Spanish Electrical Market.,
, 06, Volume 2687, p.353-360, (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)
Aprendizaje jerárquico por refuerzo mediante programación genética dirigida por gramáticas,
, Congreso Español de algoritmos evolutivos y bioinspirados AEB-02, 01, Mérida (España), (2002)
Aproximaciones de Evolución con Funciones Difusas Mediante Cooperacion y Competición de RBFs,
, Congreso Español de Algoritmos Evolutivos y Bioinspirados AEB-02, 01, Mérida, (España), (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)
Optimización genético borrosa de parámetros en un sistema de bajo coste para la medición visual de cotas de vehículos,
, Congreso Español sobre tecnologías y lógica fuzzy, 01, León (España), (2002)
Scrae Web: Sistema de Corrección y Revisión Automática de Exámenes a Través de la Web,
, Jornadas de Enseñanza Universitaria de la Informática Jenui , 01, Cáceres (España), (2002)
Selección Evolutiva de Instancias en Minería de Datos,
, Workwhop de Minería de Datos y Aprendizaje Automático, 01, Santander (España), (2002)
Some relationships between fuzzy and random set-based classifiers and models,
, International Journal of Approximate Reasoning, Volume 29, Number 2, p.175 - 213, (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 fast genetic method for inducting linguistically understandable fuzzy models,
, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), July, Volume 3, p.1559-1563 vol.3, (2001)
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)
Combining GP operators with SA search to evolve fuzzy rule based classifiers,
, Information Sciences, Volume 136, Number 1, p.175 - 191, (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)
Graph Based GP Applied to Dynamical Systems Modeling,
, 06, Volume 2084, p.725-732, (2001)
JavaScript como lenguaje de apoyo a la docencia vía web,
, Jornadas de la enseñanza universitaria Jenui, 07, Palma de Mallorca (España), (2001)
Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules,
, 06, p.570-578, (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)
Acceso restringido a calificaciones de alumnos a través de internet,
, Simposio Español de informática distribuida, 09, Orense (España), (2000)
Adaptación curricular de la asignatura-Teoría de algortimos,
, Jornadas sobre la enseñanza universitaria de la informática, 09, Alcalá de Henares (España), (2000)
Aportaciones de la ingeniería de la programación al curriculum del ingeniero técnico industrial,
, Jornadas sobre la enseñanza universitaria de la informática, 09, Alcalá de Henares (España), (2000)
Approximating The Discrete Space Equation From Chaotic Noisy Data,
, International Conference On Information Processing and Management Of Uncertainty In Knowledge-Based System, 01, (2000)
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)
Evolución de la asignatura metodología y tecnología de la programación,
, Jenui, 01, Alcalá de Henares (España), (2000)
GA-P based Feature Selection and Classification combining different Methods of Texture Analysis,
, 09, p.209-219, (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)
Interval-valued GA-P algorithms,
, IEEE Transactions on Evolutionary Computation, April, Volume 4, Number 1, p.64-72, (2000)
La asignatura de planificación de sistemas informáticos en ingeniería técnica en informática de gestión.,
, Jenui, 01, Alcala de Henares (España), (2000)
Modelo gráfico de transporte de agua a través del estrecho de Gibraltar a partir de imágenes de satelites,
, Jornadas de análisis de variables y simulación numérica del intercambio de masas de agua a través del estrecho de Gibraltar, 06, Cádiz (España), (2000)
Niching scheme for steady state GA-P and its application to fuzzy rule based classifiers induction,
, 01, (2000)
Objetos distribuidos versus paso de mensajes como soporte para la representación de abstracciones distribuidas,
, Simposio Español de informática distribuida, 09, Orense (España), (2000)
Un sistema coordinador de recursos distribuidos,
, Jornadas científicas en tecnologías de la información, 11, Cádiz (España), (2000)
Un sistema interactivo automático de aprendizaje y evaluación,
, Congreso de innovación educativa en enseñanzas técnicas, 09, Donostia- San Sebastián (España), (2000)
Una propuesta para la formación en las tecnologías Web,
, Nuevas tecnologías aplicadas a la educación, 11, (2000)
Using the adabooth algorithm to induce fuzzy rules in classification problems,
, X Congreso Español sobre Tecnologías y Lógica Difusa, 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)
Evolving Fuzzy Rule Based Classifiers with GA-P: A Grammatical Approach,
, 05, Volume 1598, p.203-210, (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)
Programación de multicomputadoras basadas en objetos distribuidos,
, SEID99: Simposio español de informática distribuida, 02, Santiago de Compostela, (1999)
Simulación de fluidos dinámicos mediante autómatas celulares.,
, Congreso Español de informática gráfica., 06, Jaén, (1999)
Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques,
, Applied Intelligence, Jan, Volume 10, Number 1, p.5–24, (1999)
A random sets-based method for identifying fuzzy models,
, Fuzzy Sets and Systems, Volume 98, Number 3, p.343 - 354, (1998)
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)