Vázquez, I. ., Ayasi, B. ., Seker, H. ., Luengo, J. ., Sedano, J. ., & García-Vico, Á.M. . (2024). Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites. Applied Soft Computing, 160, 111681. https://doi.org/https://doi.org/10.1016/j.asoc.2024.111681
H. Seker
First name
H.
Last name
Seker
2024
2021
García-Vico, Ángel M. ., Seker, H. ., Carmona, C. J. ., González García, P. ., & del Jesus Díaz, M. J. . (2021). FEPDS: Una propuesta para la extracción de patrones emergentes difusos en flujos continuos de datos. Presented at the.
2020
García-Vico, Ángel M. ., Carmona, C. J. ., González García, P. ., Seker, H. ., & del Jesus Díaz, M. J. . (2020). FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams. IEEE Transactions on Fuzzy Systems, 28, 3193-3203. https://doi.org/10.1109/TFUZZ.2020.2992849 (Original work published 2020)
2013
Carmona, C. J. ., Chrysostomou, C. ., Seker, H. ., & del Jesus Díaz, M. J. . (2013). Análisis del virus de la gripe A mediante descubrimientos de subgrupos difusos. 1313-1322. Madrid (Spain). (Original work published 2025)
Carmona, C. J. ., Chrysostomou, C. ., Seker, H. ., & del Jesus Díaz, M. J. . (2013). Fuzzy Rules for Describing Subgroups from Influenza A Virus Using a Multi-objective Evolutionary Algorithm. Applied Soft Computing, 13, 3439-3448. https://doi.org/10.1016/j.asoc.2013.04.011