Ángel Miguel García-Vico

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Emerging Patterns

Top Venues

Int. J. Comput. Intell. Syst.

IEEE Trans. Fuzzy Syst.

Publications

Iago Xabier Vázquez, Bahgat Ayasi, Huseyin Seker, Julián Luengo, Javier Sedano, Ángel Miguel García-Vico
Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites. Appl. Soft Comput. 160 (2024)
Bahgat Ayasi, Ángel Miguel García-Vico, Cristóbal J. Carmona, Mohammed Saleh
Advancing Computational Frontiers: Spiking Neural Networks in High-Energy Efficiency Computing Across Diverse Domains. CAEPIA (2024)
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus
A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams. Inf. Fusion 91 (2023)
Luis Alfonso Pérez Martos, Ángel Miguel García-Vico, Pedro González, Cristóbal J. Carmona
Clustering: an R library to facilitate the analysis and comparison of cluster algorithms. Prog. Artif. Intell. 12 (1) (2023)
Manuel Luis González Hernandez, Jorge Ruiz, Randy Lozada, Erik Sebastian Skibinsky Gitlin, Ángel Miguel García-Vico, Javier Sedano, José Ramón Villar
FAS-CT: FPGA-Based Acceleration System with Continuous Training. FedCSIS (Communication Papers) (2023)
Ignacio Aguilera-Martos, Ángel Miguel García-Vico, Julián Luengo, Sergio Damas, Francisco J. Melero, José Javier Valle-Alonso, Francisco Herrera
TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning. Neurocomputing 517 (2023)
Luis Alfonso Pérez Martos, Ángel Miguel García-Vico, Pedro González, Cristóbal José Carmona
A Multiclustering Evolutionary Hyperrectangle-Based Algorithm. Int. J. Comput. Intell. Syst. 16 (1) (2023)
Randy Lozada, Jorge Ruiz, Manuel L. González, Javier Sedano, José R. Villar, Ángel Miguel García-Vico, Erik S. Skibinsky-Gitlin
Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference. IDEAL (2022)
Luis Alfonso Pérez Martos, Ángel Miguel García-Vico, Pedro González, Cristóbal José Carmona
A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms. HAIS (2022)
Ignacio Aguilera-Martos, Ángel Miguel García-Vico, Julián Luengo, Sergio Damas, Francisco J. Melero, José Javier Valle-Alonso, Francisco Herrera
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). CoRR (2022)
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus
A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams. Expert Syst. Appl. 183 (2021)
Ángel Miguel García-Vico, Francisco Herrera
A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks. HAIS (2021)
Manuel L. González, Javier Sedano, Ángel Miguel García-Vico, José Ramón Villar
A Comparison of Techniques for Virtual Concept Drift Detection. SOCO (2021)
Ángel Miguel García-Vico, Cristóbal José Carmona, Pedro González, María José del Jesus
A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns. SOCO (2020)
Ángel Miguel García-Vico, Francisco Charte, Pedro González, David A. Elizondo, Cristóbal José Carmona
E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments. Neurocomputing 415 (2020)
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, Huseyin Seker, María José del Jesus
FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams. IEEE Trans. Fuzzy Syst. 28 (12) (2020)
Ángel Miguel García-Vico, Pedro González, Cristóbal José Carmona, María José del Jesus
A Big Data Approach for the Extraction of Fuzzy Emerging Patterns. Cogn. Comput. 11 (3) (2019)
José María Luna, Cristóbal J. Carmona, Ángel Miguel García-Vico, María José del Jesus, Sebastián Ventura
Subgroup Discovery on Multiple Instance Data. Int. J. Comput. Intell. Syst. 12 (2) (2019)
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus
MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns. IEEE Trans. Fuzzy Syst. 26 (5) (2018)
Pedro González García, Ángel Miguel García-Vico, Cristóbal J. Carmona, María José del Jesus
Improvement of subgroup descriptions in noisy data by detecting exceptions. Prog. Artif. Intell. 7 (1) (2018)
Ángel Miguel García-Vico, Cristóbal J. Carmona, Diana Martín, Milton García-Borroto, María José del Jesus
An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects. WIREs Data Mining Knowl. Discov. 8 (1) (2018)
Ángel Miguel García-Vico, Pedro González, María José del Jesus, Cristóbal J. Carmona
A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm. FUZZ-IEEE (2017)
Ángel Miguel García-Vico, J. Montes, Jorge Aguilera, Cristóbal J. Carmona, María José del Jesus
Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining. SOCO-CISIS-ICEUTE (2016)
Julián Luengo, Ángel Miguel García-Vico, M. Dolores Pérez-Godoy, Cristóbal J. Carmona
The influence of noise on the evolutionary fuzzy systems for subgroup discovery. Soft Comput. 20 (11) (2016)