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. Recuperado de https://addi.ehu.es/handle/10810/74080
María Asunción Padilla Rascón
First name
María Asunción
Last name
Padilla Rascón
2025
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
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
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