Padilla Rascón, M. A. . ., García-Vico, Ángel 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
Cristóbal J. Carmona
First name
Cristóbal J.
Last name
Carmona
2025
Martínez-Ramírez, J. M., Carmona, C. J. ., Ramírez-Expósito, M. J., & Martínez-Martos, J. M. (2025). Extracting Knowledge from Machine Learning Models to Diagnose Breast Cancer. Life, 15. https://doi.org/10.3390/life15020211
Ayasi, B. ., Vázquez, I. X., Saleh, M. ., García-Vico, Ángel 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.
2024
Padilla Rascón, M. A. . ., González García, P. ., & Carmona, C. J. . (2024). SDRDPy: An application to graphically visualize the knowledge obtained with supervised descriptive rule algorithms. SoftwareX, 28. https://doi.org/10.1016/j.softx.2024.101939
García-Vico, Ángel 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. Presentado en.
Valdivia-Alcalá, D. I., García-Vico, Ángel 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). Presentado en.
Ayasi, B. ., García-Vico, Ángel 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. Presentado en.
2023
Carmona, C. J. ., Germán Morales, M. ., Elizondo, D. ., Ruiz-Rodado, V. ., & Grootveld, M. . (2023). Urinary Metabolic Distinction of Niemann-Pick Class 1 Disease through the Use of Subgroup Discovery. Metabolites, 13. https://doi.org/10.3390/metabo13101079
Pérez-Martos, L. ., García-Vico, Ángel 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.
Martos, L. A. P., García-Vico, Ángel M., González, P. ., & Carmona, C. J. . (2023). A Multiclustering Evolutionary Hyperrectangle-Based Algorithm. International Journal of Computational Intelligence Systems, 16. https://doi.org/10.1007/S44196-023-00341-3