Cristóbal J. Carmona

First name
Cristóbal J.
Last name
Carmona

2025

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
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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
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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.
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2024

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). Presented at the.
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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. Presented at the.
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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
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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. Presented at the.
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2023

Padilla, D. ., Padilla Rascón, M. A. . ., Cámara, R. ., & Carmona, C. J. . (2023). A First Evolutionary Fuzzy Approach for Change Mining with Smart Bands. 14113 LNAI, 171-181. Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-42935-4_14
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Pérez Martos, L. A. . ., García-Vico, Ángel M., González, P. ., & Carmona, C. J. . (2023). An Evolutionary Fuzzy System for Multiclustering in Data Streaming. 230, 33-43. Elsevier B.V. https://doi.org/10.1016/J.PROCS.2023.12.058
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García-Vico, Ángel 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
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