María José Del Jesus Díaz
Contacto
mjjesus@ujJjrUwArXOzHnaen.es
Organismo
UJA| Total | Desde 2019: | |
|---|---|---|
| Citas | Total: 11490 | Desde 2019: 5487 |
| Índice H | Total: 46 | Desde 2019: 33 |
| Índice i10 | Total: 105 | Desde 2019: 73 |
Publicaciones (252)
| Título | Autores | Año |
|---|---|---|
| XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department | AJ Rivera, JC Muñoz, MD Pérez-Goody, BS de San Pedro, F Charte, .... | 2023 |
| mldr. resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms | AJ Rivera, MA Dávila, MJ del Jesus, D Elizondo, F Charte. | 2023 |
| Explaining Agent Behavior in Agent-Based Modeling Using Subgroup Discovery | E Romero, CJ Carmona del Jesús, O Cordon, MJ del Jesus, S Damas, .... | 2023 |
| Analysis of Transformer Model Applications | MI Cabrera-Bermejo, MJ Del Jesus, AJ Rivera, D Elizondo, F Charte, .... | 2023 |
| NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images | D de la Rosa, A Álvarez, R Pérez, G Garrote, AJ Rivera, MJ del Jesus, .... | 2023 |
| PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders | D de la Rosa, AJ Rivera, MJ del Jesus, F Charte. | 2023 |
| Analysis of clustering methods for crop type mapping using satellite imagery | AJ Rivera, MD Pérez-Godoy, D Elizondo, L Deka, MJ del Jesus. | 2022 |
| A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams | ÁM García-Vico, CJ Carmona, P González, MJ del Jesus. | 2022 |
| Individuality and Consciousness in Plotinus | H Félix, M Jesús. | 2022 |
| Una visión actual de la inteligencia artificial: Recorrido histórico, datos y aprendizaje, confiabilidad y datos | MJ del Jesús Díaz, FH Triguero, ÓC García. | 2022 |
| Procesamiento de imágenes de foto-trampeo con técnicas de aprendizaje profundo para el descarte automático de imágenes vacías | D de la Rosa de la Rosa. | 2022 |
| Explainable Artificial Intelligence: An Overview on Hybrid Models | G Quesada, MJ del Jesus, P González. | 2022 |
| ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders | FJ Pulgar, F Charte, AJ Rivera, MJ del Jesus. | 2021 |
| A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams | ÁM García-Vico, C Carmona, P González, MJ del Jesus. | 2021 |
| Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms | F Puentes-Marchal, MD Pérez-Godoy, P González, MJD Jesus. | 2021 |
| Modelo de gestión pública basado en la calidad de servicio al cliente en la recolección de los desechos sólidos | S García, M Jesús. | 2021 |
| Inteligencia artificial y datos para la sociedad | MJ del Jesús Díaz. | 2021 |
| Ética, responsabilidad y trabajo colectivo en la investigación narrativa | JIR Flores, EP Mejías, AEL Méndez, PC González, M Jesús, M Garcia, .... | 2021 |
| SEPTIEMBRE 22-24 MÁLAGA, ESPAÑA XIX CONFERENCIA DE LA ASOCIACIÓN ESPAÑOLA PARA LA INTELIGENCIA ARTIFICIAL (CAEPIA 20/21) | E Alba, F Chicano, G Luque, R Gil-Merino, C Cotta, D Camacho, M Ojeda, .... | 2021 |
| Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines | FJ Pulgar, F Charte, AJ Rivera, MJ del Jesus. | 2020 |
| EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search | F Charte, AJ Rivera, F Martínez, MJ del Jesus. | 2020 |
| An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges | D Charte, F Charte, MJ del Jesus, F Herrera. | 2020 |
| FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams | AMG Vico, C Carmona, P Gonzalez, H Seker, MJ Del Jesus. | 2020 |
| An analysis of technological frameworks for data streams | F Puentes, MD Pérez-Godoy, P González, MJ Del Jesus. | 2020 |
| A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns | AM Garcia-Vico, CJ Carmona, P Gonzalez, MJ del Jesus. | 2020 |
| A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops | AJ Rivera, MD Pérez-Godoy, D Elizondo, L Deka, MJ del Jesus. | 2020 |
| Plant physiology and biochemistry differential gene expression profiling of one-and two-dimensional apogamous gametophytes of the fern Dryopteris affinis ssp. affinis | S Wyder, A Rivera, AE Valdés, M Jesús, V Gagliardini, H Fernández, .... | 2020 |
| A Big Data Approach for the Extraction of Fuzzy Emerging Patterns | ÁM García-Vico, P González, CJ Carmona, MJ del Jesus. | 2019 |
| Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments | ÁM García-Vico, P González, CJ Carmona, MJ del Jesus. | 2019 |
| Dealing with difficult minority labels in imbalanced mutilabel data sets | F Charte, AJ Rivera, MJ del Jesus, F Herrera. | 2019 |
| REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization | F Charte, AJ Rivera, MJ del Jesus, F Herrera. | 2019 |
| Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, Tips and guidelines. | FJ Pulgar, F Charte, AJ Rivera, MJ del Jesus. | 2019 |
| A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy | DT Viedma, AJR Rivas, FC Ojeda, MJ del Jesus Díaz. | 2019 |
| Automating Autoencoder Architecture Configuration: An Evolutionary Approach | F Charte, AJ Rivera, F Martínez, MJ del Jesus. | 2019 |
| A Showcase of the Use of Autoencoders in Feature Learning Applications | D Charte, F Charte, MJ del Jesus, F Herrera. | 2019 |
| Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to? | A Fernandez, F Herrera, O Cordon, MJ del Jesus, F Marcelloni. | 2019 |
| Subgroup Discovery on Multiple Instance Data | JM Luna, CJ Carmona, AM García-Vico, MJ del Jesus, S Ventura. | 2019 |
| Extracting Emerging Patterns with Change Detection in Time for Data Streams | CJ Carmona, AM Garcia-Vico, P Gonzalez, MJ del Jesus. | 2019 |
| ORGANIZACIÓN INTERNACIONAL DEL TRABAJO Y FUERZAS MEDIAS: TRANSFORMACIÓN DE LOS ORDENAMIENTOS JURÍDICOS ESTATALES COMPARADOS | M ORTEGA, M JESÚS. | 2019 |
| Derivas de Europa: Laicismo, secularización, alteridad | CAUAM López Rodríguez, J Lizaola, P González, F Donato, H Félix, .... | 2019 |
| An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects | AM García‐Vico, CJ Carmona, D Martín, M García‐Borroto, MJ del Jesus. | 2018 |
| A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy | CJ Carmona, MJ del Jesus, F Herrera. | 2018 |
| Moea-efep: Multi-objective evolutionary algorithm for extracting fuzzy emerging patterns | ÁM García-Vico, CJ Carmona, P González, MJ del Jesus. | 2018 |
| Improvement of subgroup descriptions in noisy data by detecting exceptions | P González, ÁM García-Vico, CJ Carmona, MJ del Jesus. | 2018 |
| A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines | D Charte, F Charte, S García, MJ del Jesus, F Herrera. | 2018 |
| Tips, guidelines and tools for managing multi-label datasets: The mldr. datasets R package and the Cometa data repository | F Charte, AJ Rivera, D Charte, MJ del Jesus, F Herrera. | 2018 |
| AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction | FJ Pulgar, F Charte, AJ Rivera, MJ del Jesus. | 2018 |
| An Approximation to Deep Learning Touristic-Related Time Series Forecasting | DT Viedma, AJR Rivas, F Charte, MJ del Jesus Díaz. | 2018 |
| A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders | FJ Pulgar, F Charte, AJ Rivera, MJ del Jesus. | 2018 |
| Análisis del impacto de datos desbalanceados en el rendimiento predictivo de redes neuronales convolucionales | FJ Pulgar, AJ Rivera, F Charte, MJ del Jesus. | 2018 |
| Atipicidad: Medida de calidad clave dentro del descubrimiento de reglas descriptivas supervisadas | CJ Carmona, MJ del Jesus, F Herrera. | 2018 |
| Análisis preliminar de marcos tecnológicos en data stream | F Puentes, MD Pérez-Godoy, P González, MJ Del Jesus. | 2018 |
| MOEA-EFEP: Un algoritmo evolutivo multi-objetivo para la extraccion de patrones emergentes difusos | AM Garcia-Vico, CJ Carmona, P González, MJ del Jesus. | 2018 |
| Reglas de Asociacion en Datos Multi-Instancia mediante Programacion Genética Gramatical | JM Luna, O Reyes, MJ del Jesus, S Ventura. | 2018 |
| Una primera aproximación para la extracción de patrones emergentes en flujos continuos de datos | ÁMG Vico, CJC del Jesus, PG García, MJ del Jesús Díaz. | 2018 |
| AEkNN: An AutoEncoder kNN—Based Classifier With Built-in Dimensionality Reduction | FJ Pulgar, F Charte, AJ Rivera, MJ Del Jesus. | 2018 |
| Pareto based ensemble with feature and instance selection for learning from multi-class imbalanced datasets | AF Hilario, CJC del Jesús, MJ del Jesús Díaz, FH Triguero. | 2018 |
| MEFASD-BD: multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments-a MapReduce solution | F Pulgar-Rubio, AJ Rivera-Rivas, MD Pérez-Godoy, P González, .... | 2017 |
| A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm | AM García-Vico, P González, MJ del Jesús, CJ Carmona. | 2017 |
| On the impact of imbalanced data in convolutional neural networks performance | FJ Pulgar, AJ Rivera, F Charte, MJ del Jesus. | 2017 |
| A Transformation Approach Towards Big Data Multilabel Decision Trees | AJR Rivas, FC Ojeda, FJ Pulgar, MJ del Jesus. | 2017 |
| KEEL 3.0: an open source software for multi-stage analysis in data mining | I Triguero, S González, JM Moyano, S García López, J Alcalá Fernández, .... | 2017 |
| Mining context-aware association rules using grammar-based genetic programming | JM Luna, M Pechenizkiy, MJ del Jesus, S Ventura. | 2017 |
| Análisis de diferentes tipos de reglas en sistemas difusos evolutivos para minerıa de patrones emergentes | A Garcıa-Vico, CJ Carmona, MJ del Jesus. | 2017 |
| Impact of the type of rule in Fuzzy Emerging Pattern Mining on a Big Data Approach | AM Garcıa-Vico, P González, CJ Carmona, MJ del Jesus. | 2017 |
| A view on fuzzy systems for big data: progress and opportunities | A Fernández, CJ Carmona, MJ del Jesus, F Herrera. | 2016 |
| Analysing concentrating photovoltaics technology through the use of emerging pattern mining | AM García-Vico, J Montes, J Aguilera, CJ Carmona, MJ del Jesús. | 2016 |
| Subgroup discovery with evolutionary fuzzy systems in R: the SDEFSR package | ÁM García, F Charte, P González, CJ Carmona, MJ del Jesus. | 2016 |
| Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach | CJ Carmona, F Pulgar, AJ Rivera-Rivas, MJ del Jesus, J Aguilera. | 2016 |
| R ultimate multilabel dataset repository | F Charte, D Charte, A Rivera, MJ del Jesus, F Herrera. | 2016 |
| On the impact of dataset complexity and sampling strategy in multilabel classifiers performance | F Charte, A Rivera, MJ del Jesus, F Herrera. | 2016 |
| Ensemble-based classifiers | F Herrera, F Charte, AJ Rivera, MJ del Jesus. | 2016 |
| Explotación de la potencia de procesamiento mediante paralelismo: un recorrido histórico hasta la GPGPU | F Charte Ojeda, AJR Riva, FJP Rubio, MJ del Jesús Díaz. | 2016 |
| Case Studies and Metrics | F Herrera, F Charte, AJ Rivera, MJ del Jesus. | 2016 |
| Transformation-Based Classifiers | F Herrera, F Charte, AJ Rivera, MJ del Jesus. | 2016 |
| Dimensionality Reduction | F Herrera, F Charte, AJ Rivera, MJ del Jesus. | 2016 |
| Multilabel Software | F Herrera, F Charte, AJ Rivera, MJ del Jesus. | 2016 |
| Imbalance in Multilabel Datasets | F Herrera, F Charte, AJ Rivera, MJ del Jesus. | 2016 |
| Adaptation-Based Classifiers | F Herrera, F Charte, AJ Rivera, MJ del Jesus. | 2016 |
| Multilabel classification | F Herrera, F Charte, AJ Rivera, MJ Del Jesus. | 2016 |
| Multilabel Classification: Problem Analysis, Metrics and Techniques | F Herrera, F Charte, AJ Rivera, MJ del Jesus. | 2016 |
| Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package. | AM Garcia, F Charte, P González, CJ Carmona, MJ del Jesus. | 2016 |
| Sentido y hermenéutica en el pensamiento de Paul Ricoeur | H Félix, M Jesús. | 2016 |
| Multilabel Classification, Problem Analysis, Metrics and Techniques, ISBN: 978-3-319-41111-8 | F Herrera, F Charte, AJ Rivera, MJ Jesus. | 2016 |
| A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans | CJ Carmona, V Ruiz-Rodado, MJ del Jesús, A Weber, M Grootveld, .... | 2015 |
| A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions | B García-Domingo, CJ Carmona, AJ Rivera-Rivas, MJ del Jesús, .... | 2015 |
| Una primera aproximación al descubrimiento de subgrupos bajo el paradigma MapReduce | F Pulgar-Rubio, CJ Carmona, AJ Rivera-Rivas, P González, MJ del Jesus. | 2015 |
| Análisis descriptivo mediante aprendizaje supervisado basado en patrones emergentes | CJ Carmona, FJ Pulgar-Rubio, AM García-Vico, P González, .... | 2015 |
| Usando Algoritmos de Descubrimiento de Subgrupos en R: El Paquete SDR | ÁM Garcıa, F Charte, P González, CJ Carmona, MJ del Jesus. | 2015 |
| FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery | CJ Carmona, P González, MJ del Jesús. | 2015 |
| Addressing imbalance in multilabel classification: Measures and random resampling algorithms | F Charte, AJ Rivera, MJ del Jesus, F Herrera. | 2015 |
| MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation | F Charte, AJ Rivera, MJ del Jesus, F Herrera. | 2015 |
| QUINTA: a question tagging assistant to improve the answering ratio in electronic forums | F Charte, AJ Rivera, MJ del Jesus, F Herrera. | 2015 |
| Resampling multilabel datasets by decoupling highly imbalanced labels | F Charte, A Rivera, MJ del Jesus, F Herrera. | 2015 |
| CORBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design | MD Pérez-Godoy, AJ Rivera, F Charte, MJ del Jesus. | 2015 |
| Revisiting evolutionary fuzzy systems: Taxonomy, applications, new trends and challenges | A Fernandez, V Lopez, MJ del Jesus, F Herrera. | 2015 |
| Addressing overlapping in classification with imbalanced datasets: A first multi-objective approach for feature and instance selection | A Fernández, MJ del Jesus, F Herrera. | 2015 |
| GenRBFNSpark: A first implementation in Spark of a genetic algorithm to RBFN design | AJ Rivera, MD Pérez-Godoy, F Pulgar, MJ del Jesus. | 2015 |
| Body composition changes during a multidisciplinary treatment programme in overweight adolescents: EVASYON Study | P De Miguel-Etayo, LA Moreno, J Santabárbara, G Bueno, .... | 2015 |
| El filósofo y el teúrgo en el pensamiento de Jámblico: una metafísica del símbolo | H Félix, M Jesús. | 2015 |
| CO RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design | MD Pérez-Godoy, AJ Rivera, F Charte, MJ del Jesus. | 2015 |
| CO RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design | MD Pérez-Godoy, AJ Rivera, F Charte, MJ del Jesus. | 2015 |
| Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms | CJ Carmona, P González, MJ del Jesus, F Herrera. | 2014 |
| Training algorithms for radial basis function networks to tackle learning processes with imbalanced data-sets | MD Pérez-Godoy, AJ Rivera, CJ Carmona, MJ del Jesús. | 2014 |
| Applying Subgroup Discovery Based on Evolutionary Fuzzy Systems for Web Usage Mining in E-Commerce: A Case Study on OrOliveSur. com | CJ Carmona, MJ del Jesus, S García. | 2014 |
| Concurrence among imbalanced labels and its influence on multilabel resampling algorithms | F Charte, A Rivera, MJ del Jesus, F Herrera. | 2014 |
| LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification | F Charte, AJ Rivera, MJ Del Jesus, F Herrera. | 2014 |
| MLeNN: a first approach to heuristic multilabel undersampling | F Charte, AJ Rivera, MJ del Jesus, F Herrera. | 2014 |
| Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks | A Fernández, S del Río, V López, A Bawakid, MJ del Jesus, JM Benítez, .... | 2014 |
| Short, medium and long term forecasting of time series using the L-Co-R algorithm | E Parras-Gutierrez, VM Rivas, M Garcia-Arenas, MJ Del Jesus. | 2014 |
| 2. Addressing the Data Intrinsic Characteristics of Imbalanced Problems using FRBCSs and Machine Learning Techniques | V López, A Fernández, MJ del Jesus, F Herrera. | 2014 |
| Extensión del entorno web para el aprendizaje interactivo del lenguaje de programación R.(PID 11-232) | RCR Zaliz, MCDV Muñoz, IJS Zwir, FJA Fernández, MJ del Jesús Díaz, .... | 2014 |
| Fuzzy rules for describing subgroups from Influenza A virus using a multi-objective evolutionary algorithm | CJ Carmona, C Chrysostomou, H Seker, MJ Del Jesus. | 2013 |
| MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology | CJ Carmona, P González, B García-Domingo, MJ Del Jesus, J Aguilera. | 2013 |
| An evolutionary fuzzy system for the detection of exceptions in subgroup discovery | CJ Carmona, P González, MJ Del Jesus, B García-Domingo, J Aguilera. | 2013 |
| A first approach to deal with imbalance in multi-label datasets | F Charte, A Rivera, MJ del Jesus, F Herrera. | 2013 |
| Alternative OVA proposals for cooperative competitive RBFN design in classification tasks | FC Ojeda, AJR Rivas, MD Pérez-Godoy, MJ del Jesus. | 2013 |
| Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches | A FernáNdez, V LóPez, M Galar, MAJ Del Jesus, F Herrera. | 2013 |
| A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets | V LóPez, A FernáNdez, MAJ Del Jesus, F Herrera. | 2013 |
| Characterization of concentrating photovoltaic modules by cooperative competitive radial basis function networks | AJ Rivera, B García-Domingo, MJ Del Jesus, J Aguilera. | 2013 |
| Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approach-es | A Fernndez, V Lpez, M Galar, MJD Jesus, F Herrera. | 2013 |
| A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO2RBFN | AJ Rivera, B García-Domingo, MJ del Jesus, J Aguilera. | 2013 |
| Un sistema difuso evolutivo para la detección de excepciones en descubrimiento de subgrupos | CJ Carmona, P González, MJ del Jesus. | 2013 |
| A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments | MD Pérez-Godoy, AJ Rivera, MJ Del Jesus, F Martínez. | 2013 |
| Classification Systems | O Cordón, MJ Del Jesus, F Herrera, L Magdalena, P Villar. | 2013 |
| Análisis del virus de la gripe A mediante descubrimientos de subgrupos difusos | CJ Carmona, C Chrysostomou, H Seker, MJ del Jesus. | 2013 |
| La Filosofía como Hermenéutica en Plotino: sabiduría y experiencia | H Félix, M Jesús. | 2013 |
| Web usage mining to improve the design of an e-commerce website: OrOliveSur. com | CJ Carmona, S Ramírez-Gallego, F Torres, E Bernal, MJ del Jesús, .... | 2012 |
| Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD | CJ Carmona, P González, MJ Gacto, MJ del Jesús. | 2012 |
| An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery | CJ Carmona, J Luengo, P González, MJ Del Jesus. | 2012 |
| A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery | CJ Carmona, J Luengo, P González, MJ del Jesus. | 2012 |
| Improving multi-label classifiers via label reduction with association rules | F Charte, A Rivera, MJ del Jesus, F Herrera. | 2012 |
| Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm | E Parras-Gutierrez, M Garcia-Arenas, VM Rivas, MJ del Jesus. | 2012 |
| Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. | V López, A Fernández, MJ Del Jesus, F Herrera. | 2012 |
| AJUSTE GENÉTICO LATERAL DE LAS ETIQUETAS LINGÜÍSTICAS EN DESCUBRIMIENTO DE SUBGRUPOS | CJ Carmona, P González, MJ Gacto, MJ del Jesus. | 2012 |
| Subgroup Discovery Applied to the e-Commerce Website OrOliveSur. com. | CJ Carmona, S Ramírez-Gallego, FJ Torres, E Bernal, MJ del Jesús, .... | 2012 |
| El símbolo en el" De mysteriis" de Jámblico: la mediación entre el hombre y lo divino | H Félix, M Jesús. | 2012 |
| An overview on subgroup discovery: foundations and applications | F Herrera, CJ Carmona, P González, MJ Del Jesus. | 2011 |
| Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department | CJ Carmona, P González, MJ Del Jesus, M Navío-Acosta, .... | 2011 |
| Subgroup discovery in an e-learning usage study based on Moodle | CJ Carmona, P González, MJ Del Jesus, S Ventura. | 2011 |
| Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD | CJ Carmona, P González, MJ del Jesus, F Herrera. | 2011 |
| Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification | AJ Rivera, F Charte, MD Pérez-Godoy, MJ del Jesus. | 2011 |
| On the discovery of association rules by means of evolutionary algorithms | MJ del Jesus, JA Gamez, P Gonzalez, JM Puerta. | 2011 |
| A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods | AJ Rivera, P Pérez-Recuerda, MD Pérez-Godoy, MJ Del Jesús, MP Frías, .... | 2011 |
| On the usefulness of fuzzy rule based systems based on hierarchical linguistic fuzzy partitions | A Fernández, V López, MJ Del Jesus, F Herrera. | 2011 |
| A summary on the study of the medium-term forecasting of the extra-virgen olive oil price | AJ Rivera, MD Pérez-Godoy, MJ Del Jesus, P Pérez-Recuerda, MP Frías, .... | 2011 |
| The Mágina Project. The Renewables Potential for Electricity Production in the Province of Jaén; Southern Spain | J Terrados, JA Ruiz-Arias, L Hontoria, G Almonacid, PJ Pérez, .... | 2011 |
| UNIVERSOL PROJECT. FINAL RESULTS | E Muñoz, J de la Casa, MJ Ortega, G Almonacid, DL Talavera, PG Vidal, .... | 2011 |
| Desarrollo de una página web para el aprendizaje interactivo del lenguaje de programación R | R Romero Zaliz, J Arnedo Fernández, VA Dueñas Robles, P Villar Castro, .... | 2011 |
| Coaching reflexivo entre iguales en el Practicum de la formación de maestros Reflective peer coaching in the Practicum of teacher training | AR Marcos, RM Esteban, R Aranda, M Blanchard, C Domínguez, .... | 2011 |
| NMEEF-SD: non-dominated multiobjective evolutionary algorithm for extracting fuzzy rules in subgroup discovery | CJ Carmona, P González, MJ del Jesus, F Herrera. | 2010 |
| Evolutionary algorithms for subgroup discovery applied to e-learning data | CJ Carmona, P González, MJ del Jesus, C Romero, S Ventura. | 2010 |
| CO 2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market | MD Pérez-Godoy, P Pérez, AJ Rivera, MJ del Jesús, CJ Carmona, .... | 2010 |
| A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design | MD Pérez-Godoy, AJ Rivera, CJ Carmona, MJ del Jesus. | 2010 |
| GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems | FJ Berlanga, AJ Rivera, MJ del Jesús, F Herrera. | 2010 |
| On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets | A Fernández, MJ del Jesus, F Herrera. | 2010 |
| Multi-class imbalanced data-sets with linguistic fuzzy rule based classification systems based on pairwise learning | A Fernández, MJ Del Jesus, F Herrera. | 2010 |
| Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets | MD Pérez-Godoy, A Fernández, AJ Rivera, MJ del Jesus. | 2010 |
| CO2RBFN: an evolutionary cooperative–competitive RBFN design algorithm for classification problems | MD Perez-Godoy, AJ Rivera, FJ Berlanga, MJ Del Jesus. | 2010 |
| Analysing the hierarchical fuzzy rule based classification systems with genetic rule selection | A Fernández, MJ del Jesús, F Herrera. | 2010 |
| Co2rbfn: predicción de series temporales con un enfoque cooperativo-̃́ competitivo | M Pérez-Godoy, P Pérez, A Rivera, M Del Jesus, PL López. | 2010 |
| Intelligent systems in long-term forecasting of the extra-virgin olive oil price in the Spanish market | MD Pérez-Godoy, P Pérez, AJ Rivera, MJ del Jesús, MP Frías, M Parras. | 2010 |
| Comparison of response surface methodology and artificial neural network applied to enzymatic hydrolysis of rapeseed straw | E Castro, C Cara, MJ Jesus, V Rivas. | 2010 |
| Introduction to the experimental design in the data mining tool KEEL | J Alcalá-Fdez, F Herrera, S García, MJ del Jesus, L Sánchez, .... | 2010 |
| CO 2 RBFN: an evolutionary cooperative–competitive RBFN design algorithm for classification problems | MD Perez-Godoy, AJ Rivera, FJ Berlanga, MJ Del Jesus. | 2010 |
| La web 2.0 y la economía social: posibilidades y aplicaciones | AM Moral, EB Jurado, FPR Rodríguez, MJ del Jesús Díaz. | 2010 |
| Non-dominated multi-objective evolutionary algorithm based on fuzzy rules extraction for subgroup discovery | CJ Carmona, P González, MJ del Jesús, F Herrera. | 2009 |
| An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery | CJ Carmona, P González, MJ del Jesus, F Herrera. | 2009 |
| EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design | PL López, AJ Rivera, MD Pérez-Godoy, MJ del Jesus, C Carmona. | 2009 |
| Techniques of Engineering Applied to a Non-structured Data Model | CJ Carmona, MJ del Jesus, P Guerrero, R Pena-Santiago, VM Rivas. | 2009 |
| Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data | C Romero, P González, S Ventura, MJ Del Jesús, F Herrera. | 2009 |
| Aplicación de algoritmos evolutivos de descubrimiento de subgrupos en e-learning: un caso de estudio analizando cursos de Moodle | C Romero, P González, S Ventura, MJ Del Jesús, F Herrera. | 2009 |
| Modelo predictivo colaborativo de apoyo al diagnostico en servicio de urgencias psiquiatricas | JR Cano, MJ del Jesús, P González, JJ Aguilera, AG López, F Herrera, .... | 2009 |
| KEEL: a software tool to assess evolutionary algorithms for data mining problems | J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, .... | 2009 |
| Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets | A Fernández, MJ del Jesus, F Herrera. | 2009 |
| On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets | A Fernández, MJ del Jesus, F Herrera. | 2009 |
| Evolutionary and metaheuristics based data mining | MJ del Jesús, JA Gámez, JM Puerta. | 2009 |
| Improving the performance of fuzzy rule based classification systems for highly imbalanced data-sets using an evolutionary adaptive inference system | A Fernández, MJ del Jesus, F Herrera. | 2009 |
| Parallelizing the design of radial basis function neural networks by means of evolutionary meta-algorithms | MG Arenas, E Parras-Gutierrez, VM Rivas, PA Castillo, MJ Del Jesus, .... | 2009 |
| Study of the robustness of a meta-algorithm for the estimation of parameters in radial basis function neural networks design | E Parras-Gutierrez, MJ Del Jesus, VM Rivas, JJ Merelo. | 2009 |
| E-tsRBF: preliminary results on the simultaneous determination of time-lags and parameters of Radial Basis Function Neural Networks for time series forecasting | E Parras-Gutierrez, V Rivas, MJ del Jesús. | 2009 |
| A Preliminar Analysis of CO2RBFN in Imbalanced Problems | MD Pérez-Godoy, AJ Rivera, A Fernández, MJ del Jesús, F Herrera. | 2009 |
| Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. | A Fernández, FJ Berlanga, MJ del Jesús, F Herrera. | 2009 |
| Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification | E Parras-Gutierrez, VM Rivas, MJ del Jesus, JJ Merelo. | 2009 |
| Adaptación de una asignatura avanzada de redes de computadores al modelo de docencia virtual dentro del marco del Espacio Europeo de Educación Superior | AJ Rivera, CJ Carmona, MD Pérez-Godoy, MJ del Jesus. | 2009 |
| A symbiotic CHC co-evolutionary algorithm for automatic RBF neural networks design | E Parras-Gutierrez, MJ Jesus, JJ Merelo, VM Rivas. | 2009 |
| Subgroup Discovery with Linguistic Rules | MJ Del Jesus, P González, F Herrera. | 2008 |
| Aplicación de un algoritmo de extracción de reglas difusas para minería de uso web | CJC del Jesus, PG García, VMR Santos, MJ del Jesus Díaz. | 2008 |
| A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets | A Fernández, S García, MJ del Jesus, F Herrera. | 2008 |
| KEEL: A data mining software tool integrating genetic fuzzy systems | J Alcalá-Fdez, S García, FJ Berlanga, A Fernández, L Sánchez, .... | 2008 |
| A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problems | FJ Berlanga, MJ del Jesus, F Herrera. | 2008 |
| A preliminary study of the effect of feature selection in evolutionary RBFN design | MD Perez-Godoy, JJ Aguilera, FJ Berlanga, VM Rivas, AJ Rivera. | 2008 |
| Parameter estimation for Radial Basis Function Neural Network design by means of two Symbiotic algorithms | E Parras-Gutierrez, MJ del Jesus, VM Rivas, JJ Merelo. | 2008 |
| Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm | E Parras-Gutierrez, VM Rivas, MJ del Jesus. | 2008 |
| Study of the robustness of a meta-algorithm for the estimation of parameters in Artificial Neural Networks design | E Parras-Gutierrez, MJ del Jesus, VM Rivas, JJ Merelo. | 2008 |
| A short study on the use of genetic 2-tuples tuning for fuzzy rule based classification systems in imbalanced data-sets | A Fernández, MJ del Jesus, F Herrera. | 2008 |
| An study on data mining methods for short-term forecasting of the extra virgin olive oil price in the Spanish market | P Pérez, MP Frías, MD Pérez-Godoy, AJ Rivera, MJ del Jesús, M Parras, .... | 2008 |
| Editorial [12th. Spanish Conference on Fuzzy Logic and Fuzzy Technologies, Jaen, 2004: selected papers] | L Martínez, MJ del Jesus, JL Castro. | 2008 |
| UTILIZACIÓN DE UN SISTEMA BASADO EN REGLAS DIFUSAS PARA LA APLICACIÓN DE OPERADORES EN UN ALGORITMO COOPERATIVO-COMPETITIVO | MDPGA Jesús, RRMJ del Jesus, DFJB Rivera. | 2008 |
| Sistemas Basados en Reglas Difusas en Clasificación: Nuevos Retos | AF Hilario, MJ del Jesus, F Herrera. | 2008 |
| Evolutionary fuzzy rule induction process for subgroup discovery: a case study in marketing | MJ Del Jesus, P González, F Herrera, M Mesonero. | 2007 |
| Multiobjective genetic algorithm for extracting subgroup discovery fuzzy rules | MJ del Jesus, P González, F Herrera. | 2007 |
| A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks | AJ Rivera, I Rojas, J Ortega, MJ del Jesús. | 2007 |
| Preface: Special Issue on Genetic Fuzzy Systems and the Interpretability–Accuracy Trade-off | J Casillas, F Herrera, R Pérez, MJ del Jesus, P Villar. | 2007 |
| Niching genetic feature selection algorithms applied to the design of fuzzy rule-based classification systems | JJ Aguilera, M Chica, MJ del Jesus, F Herrera. | 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 | A Fernández, S García, F Herrera, MJ del Jesús. | 2007 |
| CoEvRBFN: an approach to solving the classification problem with a hybrid cooperative-coevolutive algorithm | MD Pérez-Godoy, AJ Rivera, MJ Del Jesus, I Rojas. | 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 | A Fernández, S García, MJ Del Jesús, F Herrera. | 2007 |
| Un estudio sobre el uso de algoritmos genéticos multimodales para selección de características | JJ Aguilera, M Chica, MJ del Jesus, F Herrera. | 2007 |
| Optimización de CoEvRBF para aumentar su eficiencia en tareas de clasificación | MD PérezYGodoy, AJ Rivera, MJJI Rojas. | 2007 |
| Fuzzy Machine Learning-An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced … | A Fernandez, S Garcia, F Herrera, MJ Jesus. | 2007 |
| A genetic-programming-based approach for the learning of compact fuzzy rule-based classification systems | FJ Berlanga, MJ del Jesús, MJ Gacto, F Herrera. | 2006 |
| Multiobjective evolutionary induction of subgroup discovery fuzzy rules: a case study in marketing | F Berlanga, MJ Del Jesus, P González, F Herrera, M Mesonero. | 2006 |
| A First Study on the Use of Fuzzy Rule Based Classification Systems for Problems with Imbalanced Data Sets | MJ del Jesus, A Fernández, S Garcıa, F Herrera. | 2006 |
| UN PRIMER ESTUDIO SOBRE EL USO DE LOS SISTEMAS DE CLASIFICACIÓN BASADOS EN REGLAS DIFUSAS EN PROBLEMAS DE CLASIFICACIÓN CON CLASES NO BALANCEADAS | AF Hilario, S García, F Herrera, MJ del Jesus. | 2006 |
| Evolutionary induction of descriptive rules in a market problem | MJ del Jesús, P González, F Herrera, M Mesonero. | 2005 |
| Multiobjective evolutionary induction of subgroup discovery rules in a market problem | F Berlanga, MJ del Jesus, P González, F Herrera. | 2005 |
| Inducción evolutiva multiobjetivo de reglas de descripción de subgrupos en un problema de marketing | MJ del Jesus, P González, F Herrera. | 2005 |
| Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction | J Casillas, O Cordón, MJ Del Jesus, F Herrera. | 2005 |
| Genetic tuning of fuzzy rule deep structures for linguistic modeling | J Casillas, O Cordon, MJ Del Jesus, F Herrera. | 2005 |
| Learning fuzzy rules using Genetic Programming: Context-free grammar definition for high-dimensionality problems | FJ Berlanga, MJ Del Jesus, F Herrera. | 2005 |
| Learning compact fuzzy rule-based classification systems with genetic programming. | FJ Berlanga, MJ del Jesus, F Herrera. | 2005 |
| Aprendizaje de reglas difusas mediante programación genética en problemas con alta dimensionalidad | FJ Berlanga, MJ del Jesus, F Herrera. | 2005 |
| Evolutionary inducción of descriptive fuzzy rules in a market problem | MJ Del Jesus, P González, F Herrera, M Mesonero. | 2005 |
| Aprendizaje de reglas difusas mediante programación genética en problemas con alta dimesionalidad | FJB Rivera, MJ del Jesús Díaz, FH Triguero. | 2005 |
| Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms | MJ Del Jesus, F Hoffmann, LJ Navascués, L Sánchez. | 2004 |
| Proyecto KEEL: Desarrollo de una herramienta para el análisis e implementación de algoritmos de extracción de conocimiento evolutivos | J Alcalá-Fdez, MJ del Jesus, JM Garrell, F Herrera, C Herbás, L Sánchez. | 2004 |
| EXTRACCIÓN DE REGLAS DNF DIFUSAS EN UN PROBLEMA DE MARKETING | MJ del Jesus, P González, F Herrera, M Mesonero. | 2004 |
| Extracción Evolutiva de Reglas de Asociación en un Servicio de Urgencias Psiquiátricas | JJ Aguilera, MJ Del Jesus, P González, F Herrera, M Navío, J Sáinz. | 2003 |
| A multiobjective genetic learning process for joint feature selection and granularity and contexts learning in fuzzy rule-based classification systems | O Cordón, MJ Del Jesus, F Herrera, L Magdalena, P Villar. | 2003 |
| Co-evolutionary algorithm for RBF by self-organizing population of neurons | AJ Rivera, J Ortega, I Rojas, MJ del Jesús. | 2003 |
| A multiobjective genetic algorithm for feature selection and data base learning in fuzzy-rule based classification systems | O Cordón, F Herrera, MJ Del Jesús, L Magdalena, AM Sánchez, P Villar. | 2003 |
| Some relationships between fuzzy and random set-based classifiers and models | L Sánchez, J Casillas, O Cordón, M Jose del Jesus. | 2002 |
| Aproximación de funciones con evolución difusa mediante cooperación y competición de RBFs | A Rivera, J Ortega, MJ del Jesus, J González. | 2002 |
| Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems | J Casillas, O Cordón, MJ Del Jesus, F Herrera. | 2001 |
| A multiobjective genetic algorithm for feature selection and granularity learning in fuzzy-rule based classification systems | O Cordón, F Herrera, MJ Del Jesus, P Villar. | 2001 |
| Feature selection algorithms applied to Parkinson’s disease | M Navío, JJ Aguilera, MJ del Jesús, R González, F Herrera, C Iríbar. | 2001 |
| Feature Selection Algorithms Applied to | M Navío, JJ Aguilera, MJ del Jesus, R Gonzálezº. | 2001 |
| Different proposals to improve the accuracy of fuzzy linguistic modeling | SJIZ O. Cordón, M.J. Del Jesus, F. Herrera. | 2000 |
| Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process | O Cordon, MJ del Jesus, F Herrera. | 2000 |
| A proposal on reasoning methods in fuzzy rule-based classification systems | O Cordón, MJ del Jesus, F Herrera. | 1999 |
| MOGUL: A methodology to obtain genetic fuzzy rule‐based systems under the iterative rule learning approach | O Cordón, MJ del Jesús, F Herrera, M Lozano. | 1999 |
| Evolutionary approaches to the learning of fuzzy rule-based classification systems | O Cordón, MJ Del Jesus, F Herrera. | 1999 |
| Aprendizaje evolutivo de sistemas de clasificación basados en reglas difusas | MJ del Jesús Díaz. | 1999 |
| BASED CLASSIFICATION SYSTEMS | FH Cordón, MJ del Jesus. | 1999 |
| Evolución de la asignatura Metodología y Tecnología de la Programación II | JJ Aguilera, JR Balsas-Almagro, MJ Del Jesús. | 1999 |
| Genetic learning of fuzzy rule‐based classification systems cooperating with fuzzy reasoning methods | O Cordón, M José del Jesus, F Herrera. | 1998 |
| Analyzing the reasoning mechanisms in fuzzy rule based classification systems | O Cordón, MJ del Jesus, F Herrera. | 1998 |
| Reasoning Methods Based on OWA Operators under Fuzzy Mayority in Fuzzy Rule-Based Classification Systems | O Cordón, MJ Del Jesus, F Herrera, F Herrera. | 1998 |
| Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas. | O Cordón, MJ del Jesús, F Herrera, M Lozano. | 1998 |
| Métodos de razonamiento aproximado basados en el concepto de mayoría difusa para sistemas de clasificación | OC García, MJ del Jesús Díaz, F Herrera. | 1998 |
| Reasoning methods based on OWA operators under fuzzy majority in fuzzy rule-based classification systems | O Cordón, MJ Del Jesus, F Herrera. | 1998 |
| Selecting fuzzy rule-based classification systems with specific reasoning methods using genetic algorithms | O Cordón, MJ del Jesus, F Herrera, E López. | 1997 |
| An evolutionary paradigm for designing fuzzy rule-based systems from examples | O Cordon, MJ del Jesus, F Herrera, M Lozano. | 1997 |
| SISTEMA DE CLASIFICACIÓN CON REGLAS DIFUSAS UTILIZANDO ALGORITMOS GENÉTICOS | O Cordón, MJ del Jesus, F Herrera. | 1996 |
| Pneumococcal pyomyositis: case report, review of the literature, and comparison with classic pyomyositis caused by other bacteria | J Collazos, A Fernández, E Martinez, J Mayo, M Jesus. | 1996 |
Descargando datos de la publicación