Publicaciones

2025

Trustworthy and explainable federated system for extracting descriptive rules in a data streaming environment

María Asunción Padilla Rascón, Ángel Miguel García-Vico, Cristóbal J. Carmona

Extracting Knowledge from Machine Learning Models to Diagnose Breast Cancer

José Martínez-Ramírez, Cristóbal J. Carmona, María Ramírez-Expósito, José Martínez-Martos

Application of Spiking Neural Networks and Traditional Artificial Neural Networks for Solar Radiation Forecasting in Photovoltaic Systems in Arab Countries.

Bahgat Ayasi, Iago Vázquez, Mohammed Saleh, Ángel Miguel García-Vico, Cristóbal J. Carmona

2024

DESReg: Dynamic Ensemble Selection library for Regression tasks

María Dolores Pérez Godoy, Marta Molina, Francisco Martínez del Rio, David Elizondo, Francisco Charte Ojeda, Antonio Rivera

Modelado de módulos fotovoltaicos bifaciales mediante técnicas de aprendizaje automático

Manuel Germán Morales, Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, Juan De La Casa-Higueras, Jorge Tejero, Maria José del Jesus Díaz

Detección automática no supervisada de imágenes de fototrampeo vacías

David de la Rosa de la Rosa, Francisco Charte Ojeda, Maria José del Jesus Díaz

Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites

I.X. Vázquez, B.W.D. Ayasi, H. Seker, J. Luengo, J. Sedano, Á.M. García-Vico

SDRDPy: An application to graphically visualize the knowledge obtained with supervised descriptive rule algorithms

María Asunción Padilla Rascón, Pedro González García, Cristóbal J. Carmona

A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams

Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González García, Maria José del Jesus Díaz

Optimization of Transport Routes through a Social Interaction Algorithm-Based Application

Diego Valdivia-Alcalá, Ángel Miguel García-Vico, Cristóbal J. Carmona

Advancing Computational Frontiers: Spiking Neural Networks in High-Energy Efficiency Computing Across Diverse Domains

Bahgat Ayasi, Ángel Miguel García-Vico, Cristóbal J. Carmona, Mohammed Salah

Nets4Learning: A Web Platform for Designing and Testing ANN/DNN Models

Antonio Mudarra Machuca, David Valdivia, Pietro Ducange, Manuel Germán Morales, Antonio Jesús Rivera Rivas, María Dolores Pérez Godoy

2023

Analysis of Transformer Model Applications

M. Cabrera-Bermejo, M. Del Jesus, A. Rivera, D. Elizondo, Francisco Charte Ojeda, M. Pérez-Godoy

A First Evolutionary Fuzzy Approach for Change Mining with Smart Bands

David Padilla, María Asunción Padilla Rascón, Rubén Cámara, Cristóbal J. Carmona

An Evolutionary Fuzzy System for Multiclustering in Data Streaming

Luis Alfonso Pérez Martos, Ángel García-Vico, Pedro González, Cristóbal J. Carmona

NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images

David de la Rosa de la Rosa, Antón Álvarez, Ramón Pérez, Germán Garrote, Antonio Rivas, Maria José del Jesus Díaz, Francisco Charte Ojeda

Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy

Carmen Biedma-Rdguez, María Gacto, Augusto Anguita-Ruiz, Rafael Alcalá, Concepción Aguilera, Jesus Alcala-Fdez

Enhancing soft computing techniques to actively address imbalanced regression problems

María Arteaga, María Gacto, Marta Galende, Jesus Alcala-Fdez, Rafael Alcalá

XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department

A.J. Rivera, Cobo Muñoz, M.D. Pérez-Goody, Sáenz de San Pedro, Francisco Charte Ojeda, D. Elizondo, C. Rodríguez, M.L. Abolafia, A. Perea, M.J. del Jesus

mldr.resampling: Efficient reference implementations of multilabel resampling algorithms

Antonio Rivera, Miguel Dávila, D. Elizondo, Maria José del Jesus Díaz, Francisco Charte Ojeda

Urinary Metabolic Distinction of Niemann-Pick Class 1 Disease through the Use of Subgroup Discovery

Cristóbal J. Carmona, Manuel Germán Morales, David Elizondo, Victor Ruiz-Rodado, Martin Grootveld

Analysis of Transformer Model Applications

M. Cabrera-Bermejo, M. Del Jesus, A. Rivera, D. Elizondo, F. Charte, M. Pérez-Godoy, Pablo Bringas, Hilde García, Francisco de Pisón, Francisco Álvarez, Alicia Lora, álvaro Herrero, José Rolle, Héctor Quintián, Emilio Corchado

A Multiclustering Evolutionary Hyperrectangle-Based Algorithm

Luis Martos, Ángel García-Vico, Pedro González, Cristóbal J. Carmona

mldr.resampling: Efficient reference implementations of multilabel resampling algorithms

Antonio Jesús Rivera Rivas, Miguel Ángel Dávila Romero, David Elizondo, Maria José del Jesus Díaz, Francisco Charte Ojeda

A Multiclustering Evolutionary Hyperrectangle-Based Algorithm

Luis Alfonso Pérez Martos, Ángel Miguel García-Vico, Pedro González García, Cristóbal J. Carmona

A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams

Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González García, Maria José del Jesus Díaz

Clustering: An R library to facilitate the analysis and comparison of cluster algorithms

L.A. Pérez-Martos, Ángel Miguel García-Vico, Pedro González García, Cristóbal J. Carmona

2022

Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension

Carmen Rodríguez, María Gacto, Augusto Ruiz, Jesús Fernández, Rafael Fernández

Analysis of clustering methods for crop type mapping using satellite imagery

Antonio Rivas, M. Pérez-Godoy, David Elizondo, Lipika Deka, Maria José del Jesus Díaz

A case of study with the Clustering R library to measure the quality of cluster algorithms

L.A. Pérez-Martos, Ángel Miguel García-Vico, Pedro González García, Cristóbal J. Carmona

DGLMExtPois: Advances in Dealing with Over and Under-dispersion in a Double GLM Framework

Antonio Sáez-Castillo, Antonio Conde-Sánchez, Francisco Martínez

Gamificación mediante juegos de bloques en asignaturas del ámbito de la Inteligencia Artificial en el Grado en Ingeniería Informática

Cristóbal J. Carmona, Pedro González García, Ángel Miguel García-Vico

Strategies for time series forecasting with generalized regression neural networks

Francisco Martínez, Francisco Charte Ojeda, María del Pilar Frías Bustamante, Ana Martínez-Rodríguez

Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series

Francisco Martínez del Rio, M.P. Frías, María Dolores Pérez Godoy, Antonio Jesús Rivera Rivas

Uso de metodologías de aprendizaje invertido para resolución de la parte práctica en asignaturas del grado de ingeniería informática

Cristóbal J. Carmona, Pedro González García, Ángel Miguel García-Vico

2021

Revisión y análisis de conceptos en Inteligencia Artificial Explicable. Una aproximación a la unificación de la terminología

A Escobar, Pedro González García, Maria José del Jesus Díaz

Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms

Fernando Puentes-Marchal, M. Pérez-Godoy, Pedro González, Maria José del Jesus Díaz

A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams

Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González García, Maria José del Jesus Díaz
2021-Garcia-ESWA.pdf

An Internet of Things and Fuzzy Markup Language Based Approach to Prevent the Risk of Falling Object Accidents in the Execution Phase of Construction Projects

María Rojas, M. Gacto, Autilia Vitiello, Giovanni Acampora, José Hidalgo

ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders

Franciso Javier Pulgar Rubio, Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, Maria José del Jesus Díaz
1-s2.0-S0020025521002024-main.pdf

Clustering: Un paquete R para facilitar el análisis de algoritmos de agrupamiento

L.A. Pérez-Martos, Pedro González García, Cristóbal J. Carmona
2021 - CAEPIA - Clustering.pdf

Decomposition-Fusion for Label Distribution Learning

M Gonzalez, Germán González-Almagro, Isaac Triguero, José Ramón Cano De Amo, Salvador García López
1-s2.0-S1566253520303596-main.pdf

E2PAMEA: un algoritmo evolutivo para la extraccióni eficiente de patrones emergentes difusos en entornos big data

Ángel Miguel García-Vico, David Elizondo, Francisco Charte Ojeda, Pedro González García, Cristóbal J. Carmona
2021 - CAEPIA - E2PM.pdf

Enhancing instance-level constrained clustering through differential evolution

Germán González-Almagro, Julián Luengo, José Ramón Cano De Amo, Salvador García López

FEPDS: Una propuesta para la extracción de patrones emergentes difusos en flujos continuos de datos

Ángel Miguel García-Vico, H. Seker, Cristóbal J. Carmona, Pedro González García, Maria José del Jesus Díaz
2021 - CAEPIA - FEPDS.pdf

Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms

F. Puentes, María Dolores Pérez Godoy, Pedro González García, Maria José del Jesus Díaz

Reducing Data Complexity using Autoencoders with Class-informed Loss Functions

David Charte, Francisco Charte Ojeda, Francisco Herrera

Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study

David Charte, Iván Sevillano-García, María Lucena-González, José Martín-Rodríguez, Francisco Charte Ojeda, Francisco Herrera, Hugo González, Iker López, Pablo Bringas, Héctor Quintián, Emilio Corchado

Synthetic Sample Generation for Label Distribution Learning

M Gonzalez, Julián Luengo, José Ramón Cano De Amo, Salvador García López
1-s2.0-S0020025520307544-main.pdf, 1-s2.0-S0020025520307544-main.pdf

2020

E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments

Ángel Miguel García-Vico, Francisco Charte Ojeda, Pedro González García, David Elizondo, Cristóbal J. Carmona
1-s2.0-S0925231220311139-main.pdf
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