Miguel Angel García Vico

Universidad de Jaén

Publicaciones

Synchronising Fuzzy Labels in Federated Evolutionary Systems: A Preliminary Study

2026
book-chapter

10.1007/978-3-032-10489-2_21

A Novel Method for Virtual Real-Time Cumuliform Fluid Dynamics Simulation Using Deep Recurrent Neural Networks

Mathematics

2025
journal-article

10.3390/math13172746

A Practical Tutorial on Spiking Neural Networks: Comprehensive Review, Models, Experiments, Software Tools, and Implementation Guidelines

Eng

2025
journal-article

10.3390/eng6110304

A Practical Tutorial on Spiking Neural Networks: Comprehensive Review, Models, Experiments, Software Tools, and Implementation Guidelines

2025
preprint

10.20944/preprints202509.2072.v1

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

10.1007/s00521-025-11066-z

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

2024
book-chapter

10.1007/978-3-031-62799-6_2

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

AUTHORS: I.X. Vázquez; B.W.D. Ayasi; H. Seker; J. Luengo; J. Sedano; A.M. García-Vico

Applied Soft Computing

2024
journal-article

10.1016/j.asoc.2024.111681

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

2024
book-chapter

10.1007/978-3-031-75016-8_28

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

AUTHORS: Á.M. García-Vico; C.J. Carmona; P. González; M.J. del Jesus

Information Fusion

2023
journal-article

10.1016/j.inffus.2022.10.028

A Multiclustering Evolutionary Hyperrectangle-Based Algorithm

International Journal of Computational Intelligence Systems

2023
journal-article

10.1007/s44196-023-00341-3

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

Progress in Artificial Intelligence

2023
journal-article

10.1007/s13748-022-00294-2

Consumption–Production Profile Categorization in Energy Communities

AUTHORS: Wolfram Rozas; Rafael Pastor-Vargas; Angel Miguel García-Vico; José Carpio

Energies

2023
journal-article

10.3390/en16196996

A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms

2022
book-chapter

10.1007/978-3-031-15471-3_8

A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks

AUTHORS: Ángel M. García-Vico; Francisco Herrera

2021
book-chapter

10.1007/978-3-030-86271-8_47

A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns

Advances in Intelligent Systems and Computing

2021
book-chapter

10.1007/978-3-030-57802-2_10

FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams

IEEE Transactions on Fuzzy Systems

2020
journal-article

10.1109/TFUZZ.2020.2992849

A Big Data Approach for the Extraction of Fuzzy Emerging Patterns

Cognitive Computation

2019
journal-article

10.1007/s12559-018-9612-7

El perfil de las organizaciones en Twitter: distinción entre operadores de productos ecológicos y no ecológicos

XXVIII AEDEM International Meeting

2019
conference-paper

Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments

Big Data Analytics

2019
journal-article

10.1186/s41044-018-0038-8

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

10.1002/widm.1231

Improvement of subgroup descriptions in noisy data by detecting exceptions

Progress in Artificial Intelligence

2018
journal-article

10.1007/s13748-017-0131-7

Modelos descriptivos basados en aprendizaje supervisado para el tratamiento de grandes volúmenes de datos y flujos continuos de datos

Proc. of the XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (XVIII CAEPIA)

2018
conference-paper

MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns

IEEE Transaction on Fuzzy Systems

2018
journal-article

10.1109/TFUZZ.2018.2814577

MOEA-EFEP: Un algoritmo evolutivo multi-objetivo para la extracción de patrones emergentes difusos

Proc. of the XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (XVIII CAEPIA)

2018
conference-paper

Una primera aproximación para la extracción de patrones emergentes en flujos continuos de datos

Proc. of the XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (XVIII CAEPIA)

2018
conference-paper

A First Approach to Handle Emergining Patterns Mining on Big Data Problems: The EvAEFP-Spark Algorithm

Proc. of the 2017 IEEE International Conference on Fuzzy Systems

2017
conference-paper

Análisis de Diferentes Tipos de Reglas en Sistemas Difusos Evolutivos para Mineŕıa de Patrones Emergentes

Proc. of the XII Spanish Conference on Metaheuristics, Evolutive and Bioinspired Algorithms (MAEB 2017)

2017
conference-paper

Impact of the Type of Rule in Fuzzy Emerging Pattern Mining on a Big Data Approach

Proc. of the II International symposium on Fuzzy and Rough Sets (ISFUROS 2017)

2017
conference-paper

Analysing Concentrating Photovoltaics Technology through the use of Emerging Pattern Mining

Proceedings of the 11th International Conference on Soft Computing Models in Industrial and Environmental Applications

2016
conference-paper

Mineŕıa de Patrones Emergentes: Una oportunidad para la extracción evolutiva de conocimiento

XI Congreso Español de Metaheuŕısticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016)

2016
conference-paper

Subgroup Discovery with Evolutionary Fuzzy Systems in R: the SDEFSR Package

The R Journal

2016
journal-article

The influence of noise on the evolutionary fuzzy systems for subgroup discovery

Soft Computing

2016
journal-article

10.1007/s00500-016-2300-1

Análisis descriptivo mediante aprendizaje supervisado basado en patrones emergentes

VII Simposio de Teoŕıa y Aplicaciones de Mineŕıa de Datos

2015
conference-paper

Usando Algoritmos de Descubrimiento de Subgrupos en R: El Paquete SDR

VII Simposio de Teoŕıa y Aplicaciones de Mineŕıa de Datos

2015
conference-paper

Contacto

agvico@ujaen.es