DaSCI
X-twitter Linkedin Instagram Tiktok Facebook Youtube
InicioPersonalDirectorioCristóbal J. Carmona del Jesus
Ampliar imagen
PLAN DE FORMACIÓN, INICIACIÓN A LA INVESTIGACIÓN Y CAPTACIÓN DE TALENTO

Cristóbal J. Carmona del Jesus

Universidad de Jaén

Publicaciones

Synchronising Fuzzy Labels in Federated Evolutionary Systems: A Preliminary Study
  • 2026
  • book-chapter
A Practical Tutorial on Spiking Neural Networks: Comprehensive Review, Models, Experiments, Software Tools, and Implementation Guidelines

Eng

  • 2025
  • journal-article
A Practical Tutorial on Spiking Neural Networks: Comprehensive Review, Models, Experiments, Software Tools, and Implementation Guidelines
  • 2025
  • preprint
Application of spiking neural networks and traditional artificial neural networks for solar radiation forecasting in photovoltaic systems in Arab countries

Neural Computing and Applications

  • 2025
  • journal-article
Extracting Knowledge from Machine Learning Models to Diagnose Breast Cancer

Life

  • 2025
  • journal-article
Advancing Computational Frontiers: Spiking Neural Networks in High-Energy Efficiency Computing Across Diverse Domains
  • 2024
  • book-chapter
Optimization of Transport Routes Through a Social Interaction Algorithm-Based Application
  • 2024
  • book-chapter
A Multiclustering Evolutionary Hyperrectangle-Based Algorithm

International Journal of Computational Intelligence Systems

  • 2023
  • journal-article
Clustering: an R library to facilitate the analysis and comparison of cluster algorithms

Progress in Artificial Intelligence

  • 2023
  • journal-article
Urinary Metabolic Distinction of Niemann–Pick Class 1 Disease through the Use of Subgroup Discovery

Metabolites

  • 2023
  • journal-article
A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms
  • 2022
  • book-chapter
A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns

Advances in Intelligent Systems and Computing

  • 2021
  • book-chapter
E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments

Neurocomputing

  • 2020
  • journal-article
FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams

IEEE Transactions on Fuzzy Systems

  • 2020
  • journal-article
A Big Data Approach for the Extraction of Fuzzy Emerging Patterns

Cognitive Computation

  • 2019
  • journal-article
Subgroup discovery on multiple instance data

International Journal of Computational Intelligence Systems

  • 2019
  • journal-article
A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy

Knowledge-Based Systems

  • 2018
  • journal-article
An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects

WIREs Data Mining and Knowledge Discovery

  • 2018
  • journal-article
Improvement of subgroup descriptions in noisy data by detecting exceptions

Progress in Artificial Intelligence

  • 2018
  • journal-article
MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns

IEEE Transaction on Fuzzy Systems

  • 2018
  • journal-article
A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm

IEEE International Conference on Fuzzy Systems

  • 2017
  • conference-paper
A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets

International Journal of Neural Systems

  • 2017
  • journal-article
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments – A MapReduce solution

Knowledge-Based Systems

  • 2017
  • journal-article
A View on Fuzzy Systems for Big Data: Progress and Opportunities

International Journal of Computational Intelligence Systems

  • 2016
  • journal-article
Subgroup discovery with evolutionary fuzzy systems in r: The SDEFSR package

R Journal

  • 2016
  • journal-article
The influence of noise on the evolutionary fuzzy systems for subgroup discovery

Soft Computing

  • 2016
  • journal-article
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions

Expert Systems with Applications

  • 2015
  • journal-article
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

  • 2015
  • journal-article
Addressing imbalanced classification with instance generation techniques: IPADE-ID

Neurocomputing

  • 2014
  • journal-article
Addressing imbalanced classification with instance generation techniques: IPADE-ID

Neurocomputing

  • 2014
  • journal-article
Overview on evolutionary subgroup discovery: Analysis of the suitability and potential of the search performed by evolutionary algorithms

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

  • 2014
  • journal-article
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets

Applied Soft Computing Journal

  • 2014
  • journal-article
An evolutionary fuzzy system for the detection of exceptions in subgroup discovery

Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013

  • 2013
  • conference-paper
Fuzzy rules for describing subgroups from Influenza A virus using a multi-objective evolutionary algorithm

Applied Soft Computing

  • 2013
  • journal-article
MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology

Knowledge-Based Systems

  • 2013
  • journal-article
A Preliminary Study on Missing Data Imputation in Evolutionary Fuzzy Systems of Subgroup Discovery

2012 Ieee International Conference on Fuzzy Systems (Fuzz-Ieee)

  • 2012
  • journal-article
A preliminary study onselecting the optimal cut points in discretization by evolutionary algorithms
  • 2012
  • conference-paper
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery

Expert Systems With Applications

  • 2012
  • journal-article
Evolutionary-based selection of generalized instances for imbalanced classification
AUTHORS: Carmona, Cristobal J., Derrac, Joaquin, Garcia, Salvador, Herrera, Francisco, Triguero, Isaac

Knowledge-Based Systems

  • 2012
  • journal-article
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD

International Journal of Computational Intelligence Systems

  • 2012
  • journal-article
Subgroup discovery applied to the e-commerce website OrOliveSur.com
  • 2012
  • conference-paper
Web usage mining to improve the design of an e-commerce website: OrOliveSur.com

Expert Systems With Applications

  • 2012
  • journal-article
An overview on subgroup discovery: foundations and applications
AUTHORS: Gonzalez, Pedro, Herrera, Franciso, Jose Carmona, Cristobal, Jose del Jesus, Maria

Knowledge and Information Systems

  • 2011
  • journal-article
Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD

IEEE SSCI 2011: Symposium Series on Computational Intelligence - GEFS 2011: 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems

  • 2011
  • conference-paper
Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department

Soft Computing

  • 2011
  • journal-article
Evolutionary selection of hyperrectangles in nested generalized exemplar learning
AUTHORS: Carmona, Cristobal J., Derrac, Joaquin, Garcia, Salvador, Herrera, Francisco, Luengo, Julian

Applied Soft Computing

  • 2011
  • journal-article
Subgroup discovery in an e-learning usage study based on Moodle

Proceedings of the 2011 7th International Conference on Next Generation Web Services Practices, NWeSP 2011

  • 2011
  • conference-paper
A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design
  • 2010
  • conference-paper
A Preliminary Study on Mutation Operators in Cooperative Competitive Algorithms for RBFN Design

2010 International Joint Conference on Neural Networks Ijcnn 2010

  • 2010
  • journal-article
CO(2)RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price

Nicso 2010: Nature Inspired Cooperative Strategies For Optimization

  • 2010
  • journal-article
Evolutionary algorithms for subgroup discovery applied to e-learning data

2010 IEEE Education Engineering Conference, EDUCON 2010

  • 2010
  • conference-paper
NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery
AUTHORS: Gonzalez, Pedro, Herrera, Francisco, Jose Carmona, Cristobal, Jose del Jesus, Maria

Ieee Transactions on Fuzzy Systems

  • 2010
  • journal-article
Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification

Trends in Applied Intelligent Systems, Pt I, Proceedings

  • 2010
  • journal-article
Preselection of neurostimulation waveforms for visual prostheses using genetic algorithms
  • 2010
  • conference-paper
An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery

2009 Ieee International Conference on Fuzzy Systems, Vols 1-3

  • 2009
  • journal-article
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design

Bio-Inspired Systems: Computational and Ambient Intelligence, Pt 1

  • 2009
  • journal-article
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery

Hybrid Artificial Intelligence Systems

  • 2009
  • journal-article
Techniques of Engineering Applied to a Non-structured Data Model

International Symposium on Distributed Computing and Artificial Intelligence 2008

  • 2009
  • journal-article
Contacto
ccarmona@ujaen.es
Google Scholar
ORCID
R.ID