Ángel Miguel García-Vico
Orcid: 0000-0003-1583-2128
According to our database1,
Ángel Miguel García-Vico
authored at least 26 papers
between 2016 and 2024.
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Bibliography
2024
Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites.
Appl. Soft Comput., 2024
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024
Advancing Computational Frontiers: Spiking Neural Networks in High-Energy Efficiency Computing Across Diverse Domains.
Proceedings of the Advances in Artificial Intelligence, 2024
2023
Int. J. Comput. Intell. Syst., December, 2023
Clustering: an R library to facilitate the analysis and comparison of cluster algorithms.
Prog. Artif. Intell., March, 2023
A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams.
Inf. Fusion, 2023
TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning.
Neurocomputing, 2023
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).
CoRR, 2022
Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference.
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.
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.
Expert Syst. Appl., 2021
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.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021
2020
IEEE Trans. Fuzzy Syst., 2020
E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments.
Neurocomputing, 2020
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
2019
Cogn. Comput., 2019
2018
An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects.
WIREs Data Mining Knowl. Discov., 2018
MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns.
IEEE Trans. Fuzzy Syst., 2018
Prog. Artif. Intell., 2018
2017
A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
Soft Comput., 2016
Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016