María José del Jesus
Orcid: 0000-0002-7891-3059
According to our database1,
María José del Jesus
authored at least 147 papers
between 1998 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
mldr.resampling: Efficient reference implementations of multilabel resampling algorithms.
Neurocomputing, November, 2023
XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department.
Artif. Intell. Medicine, March, 2023
A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams.
Inf. Fusion, 2023
PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders.
CoRR, 2023
Proceedings of the Advances in Computational Intelligence, 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
2022
Neurocomputing, 2022
2021
ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders.
Inf. Sci., 2021
A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams.
Expert Syst. Appl., 2021
Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms.
Proceedings of the Advances in Computational Intelligence, 2021
2020
IEEE Trans. Fuzzy Syst., 2020
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines.
Inf. Fusion, 2020
An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges.
Neurocomputing, 2020
EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search.
Integr. Comput. Aided Eng., 2020
A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
2019
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization.
Neurocomputing, 2019
Neurocomputing, 2019
Int. J. Comput. Intell. Syst., 2019
Cogn. Comput., 2019
Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?
IEEE Comput. Intell. Mag., 2019
Proceedings of the Understanding the Brain Function and Emotions, 2019
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019
A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy.
Proceedings of the Advances in Computational Intelligence, 2019
2018
An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects.
WIREs Data Mining Knowl. Discov., 2018
MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns.
IEEE Trans. Fuzzy Syst., 2018
IEEE Trans. Cybern., 2018
Prog. Artif. Intell., 2018
A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy.
Knowl. Based Syst., 2018
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines.
Inf. Fusion, 2018
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository.
Neurocomputing, 2018
Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization.
CoRR, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
2017
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution.
Knowl. Based Syst., 2017
A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets.
Int. J. Neural Syst., 2017
Int. J. Comput. Intell. Syst., 2017
Proceedings of the Advances in Computational Intelligence, 2017
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017
A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
R J., 2016
Int. J. Comput. Intell. Syst., 2016
Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016
On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Springer, ISBN: 978-3-319-41111-8, 2016
2015
Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges.
Knowl. Based Syst., 2015
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation.
Knowl. Based Syst., 2015
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., 2015
Addressing imbalance in multilabel classification: Measures and random resampling algorithms.
Neurocomputing, 2015
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions.
Expert Syst. Appl., 2015
CO ^2 RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design.
Proceedings of the Advances in Computational Intelligence, 2015
Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015
FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015
QUINTA: A question tagging assistant to improve the answering ratio in electronic forums.
Proceedings of the IEEE EUROCON 2015, 2015
2014
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks.
WIREs Data Mining Knowl. Discov., 2014
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms.
WIREs Data Mining Knowl. Discov., 2014
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification.
IEEE Trans. Neural Networks Learn. Syst., 2014
Neurocomputing, 2014
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets.
Appl. Soft Comput., 2014
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014
Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
2013
A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets.
Knowl. Based Syst., 2013
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches.
Knowl. Based Syst., 2013
MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology.
Knowl. Based Syst., 2013
Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks.
Expert Syst. Appl., 2013
Fuzzy rules for describing subgroups from Influenza A virus using a multi-objective evolutionary algorithm.
Appl. Soft Comput., 2013
Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks.
Proceedings of the Advances in Computational Intelligence, 2013
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
2012
Soft Comput., 2012
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD.
Int. J. Comput. Intell. Syst., 2012
Expert Syst. Appl., 2012
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery.
Expert Syst. Appl., 2012
A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO<sup>2</sup>RBFN.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012
Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations.
Proceedings of the ICPRAM 2012, 2012
Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com.
Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 2, Wroclaw, Poland, 28 June, 2012
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery.
Proceedings of the FUZZ-IEEE 2012, 2012
2011
WIREs Data Mining Knowl. Discov., 2011
Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department.
Soft Comput., 2011
Knowl. Inf. Syst., 2011
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods.
Appl. Intell., 2011
Multi-label Testing for CO<sup>2</sup>RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification.
Proceedings of the Advances in Computational Intelligence, 2011
Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011
A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price.
Proceedings of the Advances in Artificial Intelligence, 2011
2010
NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery.
IEEE Trans. Fuzzy Syst., 2010
CO<sup>2</sup>RBFN: an evolutionary cooperative-competitive RBFN design algorithm for classification problems.
Soft Comput., 2010
Analysis of an evolutionary RBFN design algorithm, CO<sup>2</sup>RBFN, for imbalanced data sets.
Pattern Recognit. Lett., 2010
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets.
Inf. Sci., 2010
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems.
Inf. Sci., 2010
CO<sup>2</sup>RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market.
Int. J. Hybrid Intell. Syst., 2010
Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010
A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design.
Proceedings of the International Joint Conference on Neural Networks, 2010
Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Analysing the Hierarchical Fuzzy Rule Based Classification Systems with genetic rule selection.
Proceedings of the 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2010
2009
Soft Comput., 2009
Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets.
Int. J. Approx. Reason., 2009
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data.
Expert Syst. Appl., 2009
On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets.
Expert Syst. Appl., 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification.
Proceedings of the Distributed Computing, 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
E-tsRBF: Preliminary Results on the Simultaneous Determination of Time-Lags and Parameters of Radial Basis Function Neural Networks for Time Series Forecasting.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery.
Proceedings of the FUZZ-IEEE 2009, 2009
Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
2008
Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets.
Fuzzy Sets Syst., 2008
An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008
A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problems.
Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008
Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008
Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2008
Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2008
2007
Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing.
IEEE Trans. Fuzzy Syst., 2007
A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks.
Soft Comput., 2007
Int. J. Approx. Reason., 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.
Proceedings of the Applications of Fuzzy Sets Theory, 2007
CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm.
Proceedings of the Computational and Ambient Intelligence, 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 Computational and Ambient Intelligence, 2007
Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule-based Classification Systems.
Proceedings of the FUZZ-IEEE 2007, 2007
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007
2006
Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing.
Proceedings of the Advances in Data Mining, 2006
A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems.
Proceedings of the Artificial Intelligence and Soft Computing, 2006
2005
Proceedings of the Intelligent Data Mining: Techniques and Applications, 2005
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction.
IEEE Trans. Fuzzy Syst., 2005
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005
2004
IEEE Trans. Fuzzy Syst., 2004
2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
2002
Int. J. Approx. Reason., 2002
2001
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems.
Inf. Sci., 2001
Proceedings of the Medical Data Analysis, Second International Symposium, 2001
1999
MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach.
Int. J. Intell. Syst., 1999
Int. J. Approx. Reason., 1999
1998
Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods.
Int. J. Intell. Syst., 1998
Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas.
Inteligencia Artif., 1998