Ángel Miguel García-Vico

According to our database, Ángel Miguel García-Vico authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Iago Xabier Vázquez, Bahgat Ayasi, Huseyin Seker, Julián Luengo, Javier Sedano, Ángel Miguel García-Vico

Appl. Soft Comput., 2024

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

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

Proceedings of the Advances in Artificial Intelligence, 2024

2023

A Multiclustering Evolutionary Hyperrectangle-Based Algorithm.

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

Int. J. Comput. Intell. Syst., December, 2023

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

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

Prog. Artif. Intell., March, 2023

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, María José del Jesus

Inf. Fusion, 2023

TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning.

Ignacio Aguilera-Martos, Ángel Miguel García-Vico, Julián Luengo, Sergio Damas, Francisco J. Melero, José Javier Valle-Alonso, Francisco Herrera

Neurocomputing, 2023

FAS-CT: FPGA-Based Acceleration System with Continuous Training.

Manuel Luis González Hernandez, Jorge Ruiz, Randy Lozada, Erik Sebastian Skibinsky Gitlin, Ángel Miguel García-Vico, Javier Sedano, José Ramón Villar

Proceedings of the Communication Papers of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022

TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and Experimental Cases of Study).

Ignacio Aguilera-Martos, Ángel Miguel García-Vico, Julián Luengo, Sergio Damas, Francisco J. Melero, José Javier Valle-Alonso, Francisco Herrera

CoRR, 2022

Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference.

Randy Lozada, Jorge Ruiz, Manuel Luis González Hernandez, Javier Sedano, José R. Villar, Ángel Miguel García-Vico, Erik S. Skibinsky-Gitlin

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

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

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

Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

2021

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

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

Expert Syst. Appl., 2021

A Comparison of Techniques for Virtual Concept Drift Detection.

Manuel Luis González Hernandez, Javier Sedano, Ángel Miguel García-Vico, José Ramón Villar

Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

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

Ángel Miguel García-Vico, Francisco Herrera

Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

2020

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

Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, Huseyin Seker, María José del Jesus

IEEE Trans. Fuzzy Syst., 2020

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

Ángel Miguel García-Vico, Francisco Charte, Pedro González, David A. Elizondo, Cristóbal José Carmona

Neurocomputing, 2020

A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns.

Ángel Miguel García-Vico, Cristóbal José Carmona, Pedro González, María José del Jesus

Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

2019

Subgroup Discovery on Multiple Instance Data.

José María Luna, Cristóbal J. Carmona, Ángel Miguel García-Vico, María José del Jesus, Sebastián Ventura

Int. J. Comput. Intell. Syst., 2019

A Big Data Approach for the Extraction of Fuzzy Emerging Patterns.

Ángel Miguel García-Vico, Pedro González, Cristóbal José Carmona, María José del Jesus

Cogn. Comput., 2019

2018

An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects.

Ángel Miguel García-Vico, Cristóbal J. Carmona, Diana Martín, Milton García-Borroto, María José del Jesus

WIREs Data Mining Knowl. Discov., 2018

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

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

IEEE Trans. Fuzzy Syst., 2018

Improvement of subgroup descriptions in noisy data by detecting exceptions.

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

Prog. Artif. Intell., 2018

2017

A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm.

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

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

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

Julián Luengo, Ángel Miguel García-Vico, M. Dolores Pérez-Godoy, Cristóbal J. Carmona

Soft Comput., 2016

Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining.

Ángel Miguel García-Vico, J. Montes, Jorge Aguilera, Cristóbal J. Carmona, María José del Jesus

Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016