Patient-level EEG seizure classification with AHCNet: Hybrid CNN and handcrafted feature fusion
- DOI
- 10.17305/bb.2026.14684
- Published
- 2026-11-09
- Container
- Biomolecules and Biomedicine
- Publisher
- Association of Basic Medical Sciences of FBIH
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.17305/bb.2026.14684,
title = {Patient-level EEG seizure classification with AHCNet: Hybrid CNN and handcrafted feature fusion},
author = {Saloua Ben Younes and Souhir Chabchoub and Mazin Abed Mohammed and Ridha Ben Salah},
year = {2026},
journal = {Biomolecules and Biomedicine},
doi = {10.17305/bb.2026.14684},
url = {https://doi.org/10.17305/bb.2026.14684}
}RIS
TY - JOUR TI - Patient-level EEG seizure classification with AHCNet: Hybrid CNN and handcrafted feature fusion AU - Saloua Ben Younes AU - Souhir Chabchoub AU - Mazin Abed Mohammed AU - Ridha Ben Salah PY - 2026 JO - Biomolecules and Biomedicine DO - 10.17305/bb.2026.14684 UR - https://doi.org/10.17305/bb.2026.14684 ER -
APA
Younes, S. B., Chabchoub, S., Mohammed, M. A., & Salah, R. B. (2026). Patient-level EEG seizure classification with AHCNet: Hybrid CNN and handcrafted feature fusion. Biomolecules and Biomedicine. https://doi.org/10.17305/bb.2026.14684
Source records
- crossref · retrieved 2026-11-10T08:31:09.537Z