María José del Jesus

ORCID

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 54

Top Venues

CoRR

Neurocomputing

HAIS

Int. J. Comput. Intell. Syst.

Publications

Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus
EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search. CoRR (2023)
Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte
mldr.resampling: Efficient reference implementations of multilabel resampling algorithms. Neurocomputing 559 (2023)
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus
A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams. Inf. Fusion 91 (2023)
M. I. Cabrera-Bermejo, María José del Jesus, Antonio J. Rivera, David A. Elizondo, Francisco Charte, M. Dolores Pérez-Godoy
Analysis of Transformer Model Applications. HAIS (2023)
David de la Rosa, Antonio J. Rivera, María José del Jesus, Francisco Charte
PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders. CoRR (2023)
Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte
mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms. CoRR (2023)
David de la Rosa, Antonio Álvarez, Ramón Pérez, Germán Garrote, Antonio J. Rivera, María José del Jesus, Francisco Charte
NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images. IWANN (2) (2023)
Antonio Jesús Rivera, J. Cobo Muñoz, M. D. Pérez-Goody, B. Sáenz de San Pedro, Francisco Charte, David A. Elizondo, C. Rodríguez, M. L. Abolafia, A. Perea, María José del Jesus
XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department. Artif. Intell. Medicine 137 (2023)
Antonio J. Rivera, María Dolores Pérez-Godoy, David A. Elizondo, Lipika Deka, María José del Jesus
Analysis of clustering methods for crop type mapping using satellite imagery. Neurocomputing 492 (2022)
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders. Inf. Sci. 565 (2021)
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus
A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams. Expert Syst. Appl. 183 (2021)
Fernando Puentes-Marchal, María Dolores Pérez-Godoy, Pedro González, María José del Jesus
Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms. IWANN (2) (2021)
Ángel Miguel García-Vico, Cristóbal José Carmona, Pedro González, María José del Jesus
A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns. SOCO (2020)
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines. Inf. Fusion 54 (2020)
Fernando Puentes, María Dolores Pérez-Godoy, Pedro González, María José del Jesus
An analysis of technological frameworks for data streams. Prog. Artif. Intell. 9 (3) (2020)
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, Huseyin Seker, María José del Jesus
FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams. IEEE Trans. Fuzzy Syst. 28 (12) (2020)
David Charte, Francisco Charte, María José del Jesus, Francisco Herrera
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges. CoRR (2020)
David Charte, Francisco Charte, María José del Jesus, Francisco Herrera
A Showcase of the Use of Autoencoders in Feature Learning Applications. CoRR (2020)
Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus
EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search. Integr. Comput. Aided Eng. 27 (3) (2020)
Antonio Jesús Rivera, María Dolores Pérez-Godoy, David Elizondo, Lipika Deka, María José del Jesus
A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops. SOCO (2020)
David Charte, Francisco Charte, María José del Jesus, Francisco Herrera
An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges. Neurocomputing 404 (2020)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
Dealing with difficult minority labels in imbalanced mutilabel data sets. Neurocomputing (2019)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization. Neurocomputing (2019)
Ángel Miguel García-Vico, Pedro González, Cristóbal José Carmona, María José del Jesus
A Big Data Approach for the Extraction of Fuzzy Emerging Patterns. Cogn. Comput. 11 (3) (2019)
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction. Int. J. Comput. Intell. Syst. 12 (1) (2019)
David Charte, Francisco Charte, María José del Jesus, Francisco Herrera
A Showcase of the Use of Autoencoders in Feature Learning Applications. IWINAC (2) (2019)
José María Luna, Cristóbal J. Carmona, Ángel Miguel García-Vico, María José del Jesus, Sebastián Ventura
Subgroup Discovery on Multiple Instance Data. Int. J. Comput. Intell. Syst. 12 (2) (2019)
Alberto Fernández, Francisco Herrera, Oscar Cordón, María José del Jesus, Francesco Marcelloni
Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to? IEEE Comput. Intell. Mag. 14 (1) (2019)
Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus
Automating Autoencoder Architecture Configuration: An Evolutionary Approach. IWINAC (1) (2019)
David Charte, Francisco Charte, Salvador García, María José del Jesus, Francisco Herrera
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. Inf. Fusion 44 (2018)
Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesus, Francisco Herrera
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository. Neurocomputing 289 (2018)
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus
MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns. IEEE Trans. Fuzzy Syst. 26 (5) (2018)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization. CoRR (2018)
Pedro González García, Ángel Miguel García-Vico, Cristóbal J. Carmona, María José del Jesus
Improvement of subgroup descriptions in noisy data by detecting exceptions. Prog. Artif. Intell. 7 (1) (2018)
Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesus, Francisco Herrera
Tips, guidelines and tools for managing multi-label datasets: the mldr.datasets R package and the Cometa data repository. CoRR (2018)
Cristóbal J. Carmona, María José del Jesus, Francisco Herrera
A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy. Knowl. Based Syst. 139 (2018)
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders. IDEAL (1) (2018)
Ángel Miguel García-Vico, Cristóbal J. Carmona, Diana Martín, Milton García-Borroto, María José del Jesus
An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects. WIREs Data Mining Knowl. Discov. 8 (1) (2018)
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality reduction. CoRR (2018)
José María Luna, Mykola Pechenizkiy, María José del Jesus, Sebastián Ventura
Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming. IEEE Trans. Cybern. 48 (11) (2018)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets. CoRR (2018)
David Charte, Francisco Charte, Salvador García, María José del Jesus, Francisco Herrera
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. CoRR (2018)
Francisco Javier Pulgar, Antonio Jesús Rivera Rivas, María Dolores Pérez-Godoy, Pedro González, Cristóbal J. Carmona, María José del Jesus
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution. Knowl. Based Syst. 117 (2017)
Ángel Miguel García-Vico, Pedro González, María José del Jesus, Cristóbal J. Carmona
A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm. FUZZ-IEEE (2017)
Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, Francisco Javier Pulgar, María José del Jesus
A Transformation Approach Towards Big Data Multilabel Decision Trees. IWANN (1) (2017)
Francisco Javier Pulgar, Antonio J. Rivera, Francisco Charte, María José del Jesus
On the Impact of Imbalanced Data in Convolutional Neural Networks Performance. HAIS (2017)
Isaac Triguero, Sergio González, Jose M. Moyano, Salvador García, Jesús Alcalá-Fdez, Julián Luengo, Alberto Fernández, María José del Jesus, Luciano Sánchez, Francisco Herrera
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. Int. J. Comput. Intell. Syst. 10 (1) (2017)
Alberto Fernández, Cristóbal J. Carmona, María José del Jesus, Francisco Herrera
A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets. Int. J. Neural Syst. 27 (6) (2017)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance. HAIS (2016)
Ángel Miguel García-Vico, J. Montes, Jorge Aguilera, Cristóbal J. Carmona, María José del Jesus
Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining. SOCO-CISIS-ICEUTE (2016)
Alberto Fernández, Cristóbal J. Carmona, María José del Jesus, Francisco Herrera
A View on Fuzzy Systems for Big Data: Progress and Opportunities. Int. J. Comput. Intell. Syst. 9 (sup1) (2016)
Ángel M. García, Francisco Charte, Pedro González, Cristóbal J. Carmona, María José del Jesus
Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package. R J. 8 (2) (2016)
Francisco Charte, David Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
R Ultimate Multilabel Dataset Repository. HAIS (2016)
Cristóbal J. Carmona, Francisco Javier Pulgar, Antonio Jesús Rivera Rivas, María José del Jesus, Jorge Aguilera
Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach. HAIS (2016)
Francisco Charte, Antonio Jesús Rivera, María José del Jesus, Francisco Herrera
Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels. HAIS (2015)
Cristóbal J. Carmona, Pedro González, María José del Jesus
FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery. IFSA-EUSFLAT (2015)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing 163 (2015)
Cristóbal J. Carmona, Victor Ruiz-Rodado, María José del Jesus, A. Weber, Martin Grootveld, Pedro González, David A. Elizondo
A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans. Inf. Sci. 298 (2015)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
QUINTA: A question tagging assistant to improve the answering ratio in electronic forums. EUROCON (2015)
Alberto Fernández, Victoria López, María José del Jesus, Francisco Herrera
Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges. Knowl. Based Syst. 80 (2015)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. Knowl. Based Syst. 89 (2015)
Alberto Fernández, María José del Jesus, Francisco Herrera
Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection. IDEAL (2015)
María Dolores Pérez-Godoy, Antonio Jesús Rivera, Francisco Charte, María José del Jesus
CO ^2 RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design. IWANN (1) (2015)
B. García-Domingo, Cristóbal J. Carmona, Antonio Jesús Rivera Rivas, María José del Jesus, Jorge Aguilera
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions. Expert Syst. Appl. 42 (13) (2015)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
MLeNN: A First Approach to Heuristic Multilabel Undersampling. IDEAL (2014)
Alberto Fernández, Sara del Río, Victoria López, Abdullah Bawakid, María José del Jesus, José Manuel Benítez, Francisco Herrera
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks. WIREs Data Mining Knowl. Discov. 4 (5) (2014)
Elisabet Parras-Gutierrez, Víctor M. Rivas, Maribel García Arenas, María José del Jesus
Short, medium and long term forecasting of time series using the L-Co-R algorithm. Neurocomputing 128 (2014)
Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms. WIREs Data Mining Knowl. Discov. 4 (2) (2014)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification. IEEE Trans. Neural Networks Learn. Syst. 25 (10) (2014)
M. Dolores Pérez-Godoy, Antonio J. Rivera, Cristóbal J. Carmona, María José del Jesus
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets. Appl. Soft Comput. 25 (2014)
Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera
Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms. HAIS (2014)
Cristóbal J. Carmona, Charalambos Chrysostomou, Huseyin Seker, María José del Jesus
Fuzzy rules for describing subgroups from Influenza A virus using a multi-objective evolutionary algorithm. Appl. Soft Comput. 13 (8) (2013)
Cristóbal J. Carmona, Pedro González, María José del Jesus, B. García-Domingo, Jorge Aguilera
An evolutionary fuzzy system for the detection of exceptions in subgroup discovery. IFSA/NAFIPS (2013)
Cristóbal J. Carmona, Pedro González, B. García-Domingo, María José del Jesus, Jorge Aguilera
MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology. Knowl. Based Syst. 54 (2013)
Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera
A First Approach to Deal with Imbalance in Multi-label Datasets. HAIS (2013)
Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, María Dolores Pérez-Godoy, María José del Jesus
Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks. IWANN (1) (2013)
Victoria López, Alberto Fernández, María José del Jesus, Francisco Herrera
A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets. Knowl. Based Syst. 38 (2013)
Antonio J. Rivera, B. García-Domingo, María José del Jesus, Jorge Aguilera
Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks. Expert Syst. Appl. 40 (5) (2013)
Alberto Fernández, Victoria López, Mikel Galar, María José del Jesus, Francisco Herrera
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches. Knowl. Based Syst. 42 (2013)
M. Dolores Pérez-Godoy, Antonio J. Rivera, María José del Jesus, Francisco Martínez
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments. IJCNN (2013)
Cristóbal J. Carmona, Julián Luengo, Pedro González, María José del Jesus
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery. Expert Syst. Appl. 39 (13) (2012)
Victoria López, Alberto Fernández, María José del Jesus, Francisco Herrera
Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. ICPRAM (2) (2012)
Antonio J. Rivera, B. García-Domingo, María José del Jesus, Jorge Aguilera
RBFN. SOCO (2012)
Cristóbal J. Carmona, Julián Luengo, Pedro González, María José del Jesus
A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery. FUZZ-IEEE (2012)
Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera
Improving Multi-label Classifiers via Label Reduction with Association Rules. HAIS (2) (2012)
Elisabet Parras-Gutierrez, Maribel García Arenas, Víctor M. Rivas, María José del Jesus
Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm. Soft Comput. 16 (6) (2012)
Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García
Web usage mining to improve the design of an e-commerce website: OrOliveSur.com. Expert Syst. Appl. 39 (12) (2012)
Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García
Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com. ICEIS (2) (2012)
Cristóbal J. Carmona, Pedro González, María José Gacto, María José del Jesus
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD. Int. J. Comput. Intell. Syst. 5 (2) (2012)
María José del Jesus, José A. Gámez, Pedro González, José Miguel Puerta
On the discovery of association rules by means of evolutionary algorithms. WIREs Data Mining Knowl. Discov. 1 (5) (2011)
Antonio Jesús Rivera Rivas, Francisco Charte, M. Dolores Pérez-Godoy, María José del Jesus
RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification. IWANN (1) (2011)
Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera
Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD. GEFS (2011)
Francisco Herrera, Cristóbal J. Carmona, Pedro González, María José del Jesus
An overview on subgroup discovery: foundations and applications. Knowl. Inf. Syst. 29 (3) (2011)
Cristóbal J. Carmona, Pedro González, María José del Jesus, M. Navío-Acosta, L. Jiménez-Trevino
Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department. Soft Comput. 15 (12) (2011)
Antonio Jesús Rivera Rivas, Pedro Pérez-Recuerda, M. Dolores Pérez-Godoy, María José del Jesus, María Pilar Frías, Manuel Parras
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods. Appl. Intell. 34 (3) (2011)
Antonio Jesús Rivera Rivas, M. Dolores Pérez-Godoy, María José del Jesus, Pedro Pérez-Recuerda, María Pilar Frías, Manuel Parras
A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price. CAEPIA (2011)
Francisco José Berlanga, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems. Inf. Sci. 180 (8) (2010)
M. Dolores Pérez-Godoy, Alberto Fernández, Antonio Jesús Rivera Rivas, María José del Jesus
RBFN, for imbalanced data sets. Pattern Recognit. Lett. 31 (15) (2010)
M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Cristóbal J. Carmona, María José del Jesus
A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design. IJCNN (2010)
Alberto Fernández, María José del Jesus, Francisco Herrera
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets. Inf. Sci. 180 (8) (2010)

María José del Jesus.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

María José del Jesus