World's Best Scientists 2026 revealed!
María José del Jesus

María José del Jesus

D-Index & Metrics

Computer Science

D-Index
42
Citations
10143
World Ranking
8240
National Ranking
114

Overview

María José del Jesus is affiliated with the University of Jaén in Spain and has contributed extensively to the field of computer science, with a total of 47 publications primarily focused on artificial intelligence and its intersections with other subfields.

Their research covers several subfields including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Information Systems
  • Plant Science

Key topics in their body of work include:

  • Data Stream Mining Techniques
  • Anomaly Detection Techniques and Applications
  • Time Series Analysis and Forecasting
  • Data Mining Algorithms and Applications
  • Generative Adversarial Networks and Image Synthesis
  • Smart Agriculture and AI
  • Domain Adaptation and Few-Shot Learning

María José del Jesus has multiple recent papers that reflect the diversity of their research interests. Notable publications include:

  • "An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges" (2020, Neurocomputing)
  • "Analysis of clustering methods for crop type mapping using satellite imagery" (2022, Neurocomputing)
  • "EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search" (2020, Integrated Computer-Aided Engineering)
  • "FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams" (2020, IEEE Transactions on Fuzzy Systems)
  • "ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders" (2021, Information Sciences)

Their frequent coauthors include:

  • Antonio J. Rivera
  • Francisco Charte
  • María Dolores Pérez-Godoy
  • David Elizondo
  • C. J. Carmona

In terms of publication venues, María José del Jesus often publishes in:

  • Neurocomputing
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Information Fusion
  • Integrated Computer-Aided Engineering

Best Publications

  • KEEL: a software tool to assess evolutionary algorithms for data mining problems

    J. Alcalá-Fdez;L. Sánchez;S. García;M. J. del Jesus

  • A proposal on reasoning methods in fuzzy rule-based classification systems

    Oscar Cordón;María José del Jesus;Francisco Herrera

  • Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches

    Alberto FernáNdez;Victoria LóPez;Mikel Galar;MaríA José Del Jesus

  • A practical tutorial on autoencoders for nonlinear feature fusion: taxonomy, models, software and guidelines

    David Charte;Francisco Charte;Salvador García;María José del Jesus

  • An overview on subgroup discovery: foundations and applications

    Franciso Herrera;Cristóbal José Carmona;Pedro González;María José del Jesus

  • A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets

    Alberto Fernández;Salvador García;María José del Jesus;Francisco Herrera

  • Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction

    J. Casillas;O. Cordon;M.J. del Jesus;F. Herrera

  • Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks

    Alberto Fernández;Sara del Río;Victoria López;Abdullah Bawakid

  • Addressing imbalance in multilabel classification: Measures and random resampling algorithms

    Francisco Charte;Antonio J. Rivera;María José del Jesus;Francisco Herrera;Francisco Herrera

  • KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

    Isaac Triguero;Sergio González;Jose M. Moyano;Salvador García

  • MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation

    Francisco Charte;Antonio J. Rivera;María José del Jesus;Francisco Herrera;Francisco Herrera

  • Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets

    Alberto Fernández;María José del Jesus;Francisco Herrera

  • Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?

    Alberto Fernandez;Francisco Herrera;Oscar Cordon;Maria Jose del Jesus

  • Web usage mining to improve the design of an e-commerce website: OrOliveSur.com

    C. J. Carmona;S. Ramírez-Gallego;F. Torres;E. Bernal

  • Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems

    J. Casillas;O. Cordón;M. J. Del Jesus;F. Herrera

  • Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms

    M.J. del Jesus;F. Hoffmann;L.J. Navascues;L. Sanchez

  • Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges

    Alberto Fernández;Victoria López;María José del Jesus;Francisco Herrera;Francisco Herrera

  • Genetic Learning of Fuzzy Rule-Based Classification Systems Cooperating with Fuzzy Reasoning Methods

    Oscar Cordón;María José del Jesus;Francisco Herrera

  • MOGUL: A Methodology to Obtain Genetic Fuzzy Rule-Based Systems under the Iterative Rule Learning Approach*

    O. Cordón;M. J. del Jesus;F. Herrera;M. Lozano

  • Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data

    C. Romero;P. González;S. Ventura;M. J. del Jesus

Frequent Co-Authors

Francisco Herrera
Francisco Herrera University of Granada
Alberto Fernández
Alberto Fernández University of Granada
Oscar Cordón
Oscar Cordón University of Granada
Salvador García
Salvador García University of Granada
Julián Luengo
Julián Luengo University of Granada
José Manuel Benítez
José Manuel Benítez University of Granada
Sebastián Ventura
Sebastián Ventura University of Córdoba
Mykola Pechenizkiy
Mykola Pechenizkiy Eindhoven University of Technology
Francesco Marcelloni
Francesco Marcelloni University of Pisa
Manuel Lozano
Manuel Lozano University of Granada

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