Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining. - Ángel Miguel García-Vico; J. Montes; Jorge Aguilera 001; Cristóbal J. Carmona; María José del Jesus (SOCO-CISIS-ICEUTE, 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)

A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm. - Ángel Miguel García-Vico; Pedro González 001; María José del Jesus; Cristóbal J. Carmona (FUZZ-IEEE, 2017)

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)

MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns. - Ángel Miguel García-Vico; Cristóbal J. Carmona; Pedro González 001; María José del Jesus (IEEE Trans. Fuzzy Syst., 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)

A Big Data Approach for the Extraction of Fuzzy Emerging Patterns. - Ángel Miguel García-Vico; Pedro González 001; Cristóbal José Carmona; María José del Jesus (Cogn. Comput., 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 Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns. - Ángel Miguel García-Vico; Cristóbal José Carmona; Pedro González 001; María José del Jesus (SOCO, 2020)

E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments. - Ángel Miguel García-Vico; Francisco Charte; Pedro González 001; David A. Elizondo; Cristóbal José Carmona (Neurocomputing, 2020)

FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams. - Ángel Miguel García-Vico; Cristóbal J. Carmona; Pedro González 001; Huseyin Seker; María José del Jesus (IEEE Trans. Fuzzy Syst., 2020)

A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks. - Ángel Miguel García-Vico; Francisco Herrera (HAIS, 2021)

A Comparison of Techniques for Virtual Concept Drift Detection. - Manuel Luis González Hernandez; Javier Sedano; Ángel Miguel García-Vico; José Ramón Villar 001 (SOCO, 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 001; María José del Jesus (Expert Syst. Appl., 2021)

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 001; Cristóbal José Carmona (HAIS, 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 001; Ángel Miguel García-Vico; Erik S. Skibinsky-Gitlin (IDEAL, 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 001; José Javier Valle-Alonso; Francisco Herrera (CoRR, 2022)

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 001 (FedCSIS (Communication Papers), 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 001; José Javier Valle-Alonso; Francisco Herrera (Neurocomputing, 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 001; María José del Jesus (Inf. Fusion, 2023)

Clustering: an R library to facilitate the analysis and comparison of cluster algorithms. - Luis Alfonso Pérez Martos; Ángel Miguel García-Vico; Pedro González 001; Cristóbal J. Carmona (Prog. Artif. Intell., 2023)

A Multiclustering Evolutionary Hyperrectangle-Based Algorithm. - Luis Alfonso Pérez Martos; Ángel Miguel García-Vico; Pedro González 001; Cristóbal José Carmona (Int. J. Comput. Intell. Syst., 2023)

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 (CAEPIA, 2024)

Deep Learning Inference on Edge: A Preliminary Device Comparison. - Manuel Luis González Hernandez; Jorge Ruiz; Lidia Andrés; Randy Lozada; Erik S. Skibinsky-Gitlin; Jorge Fernández 007; Javier Sedano; Ángel Miguel García-Vico (IDEAL (1), 2024)

Low Consumption Models for Disease Diagnosis in Isolated Farms. - Iago Xabier Vázquez; Ángel Miguel García-Vico; Huseyin Seker; Javier Sedano (IDEAL (1), 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)

Synchronising Fuzzy Labels in Federated Evolutionary Systems: A Preliminary Study. - María Asunción Padilla-Rascón; Ángel Miguel García-Vico; Cristóbal J. Carmona (IDEAL (2), 2025)

Knapsack and Shortest Path Problems Generalizations from a Quantum-Inspired Tensor Network Perspective. - Sergio Muñiz Subiñas; Jorge Martínez Martín; Alejandro Mata Ali; Javier Sedano; Ángel Miguel García-Vico (IQSOFT, 2025)

Application of spiking neural networks and traditional artificial neural networks for solar radiation forecasting in photovoltaic systems in Arab countries. - Bahgat Ayasi; Iago Xabier Vázquez; Mohammed Saleh; Ángel Miguel García-Vico; Cristóbal J. Carmona (Neural Comput. Appl., 2025)

Vacuum Spiker: A Spiking Neural Network-Based Model for Efficient Anomaly Detection in Time Series. - Iago Xabier Vázquez; Javier Sedano; Muhammad Afzal; Ángel Miguel García-Vico (CoRR, 2025)

Optimization of the quantization of dense neural networks from an exact QUBO formulation. - Sergio Muñiz Subiñas; Manuel L. González; Jorge Ruiz Gómez; Alejandro Mata Ali; Jorge Martínez Martín; Miguel Franco Hernando; Ángel Miguel García-Vico (CoRR, 2025)