Padilla Rascón, M. A., García-Vico, Á. M., & Carmona, C. J. (2025). Trustworthy and explainable federated system for extracting descriptive rules in a data streaming environment. Results in Engineering, 25, 104137. https://doi.org/https://doi.org/10.1016/j.rineng.2025.104137
Ángel Miguel García-Vico
First name
Ángel Miguel
Last name
García-Vico
2025
Ayasi, B., Vázquez, I. X., Saleh, M., García-Vico, Á. M., & Carmona, C. J. (2025). Application of Spiking Neural Networks and Traditional Artificial Neural Networks for Solar Radiation Forecasting in Photovoltaic Systems in Arab Countries. Neural Computing And Applications.
Padilla Rascón, M. A., García-Vico, Á. M., & Carmona, C. J. (2025). Keyword: Trustworthy and Explainable Federated System for Extracting Descriptive Rules in a Data Streaming Environment. Donostia/San Sebastián: Universidad del País Vasco. Retrieved from https://addi.ehu.es/handle/10810/74080
2024
García-Vico, Á. M., Carmona, C. J., González García, P., & del Jesus Díaz, M. J. (2024). A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams. XX Conferencia de la Asociación Española Para la Inteligencia Artificial. Presented at the.
Valdivia-Alcalá, D. I., García-Vico, Á. M., & Carmona, C. J. (2024). Optimization of Transport Routes through a Social Interaction Algorithm-Based Application. 15th International Conference on EUropean Transnational Education (ICEUTE 2024). Presented at the.
Ayasi, B., García-Vico, Á. M., Carmona, C. J., & Salah, M. (2024). Advancing Computational Frontiers: Spiking Neural Networks in High-Energy Efficiency Computing Across Diverse Domains. 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024. Presented at the.
2023
Pérez Martos, L. A., García-Vico, Á. M., González García, P., & Carmona, C. J. (2023). A Multiclustering Evolutionary Hyperrectangle-Based Algorithm. International Journal of Computational Intelligence Systems , 16(165). https://doi.org/10.1007/s44196-023-00341-3
García-Vico, Á. M., Carmona, C. J., González García, P., & del Jesus Díaz, M. J. (2023). A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams. Information Fusion. https://doi.org/10.1016/j.inffus.2022.10.028
Pérez-Martos, L., García-Vico, Á. M., González García, P., & Carmona, C. J. (2023). Clustering: An R library to facilitate the analysis and comparison of cluster algorithms. Progress in Artificial Intelligence.
2022
Pérez-Martos, L., García-Vico, Á. M., González García, P., & Carmona, C. J. (2022). A case of study with the Clustering R library to measure the quality of cluster algorithms. 88-97.