Skip to content
DraconiticResearch
Search Sources API
220,411 studies31 sourcesUpdated 51 min ago
Peer-reviewedLicence not statedBiomedical Engineering Letters

EEG-SDL-Net: biomedical EEG signal classification via multi-level supervised Kolmogorov–Arnold networks

  1. 1Higher Institute of Applied Sciences and Technology of Kasserine, Kairouan University, 1200 Kasserine, Tunisia
  2. 2Laboratory of Electronics and Microelectronics, LR99ES30, Faculty of Sciences, Monastir University, 5019 Monastir, Tunisia

Related

  1. Nonlinear Feature Modeling Using Kolmogorov-Arnold Networks in Electroencephalography for Depression Classification: Deep Learning Study.
    Bin Yang, Yongfeng Fan, Xinhong Wei +1
    JMIR AIPeer-reviewedCC BYFull textNeuroscienceEurope PMC
  2. Contextual Biomedical Language Models for Imbalance-Aware Drug-Food Interaction Classification
    L. Nalgonda, M. Yadav, Z. Mohammed +1
    bioRxivPreprintCC BY-NC-NDFull textBioinformatics & computational biologybioRxiv
  3. Quantifying performance inflation from hidden sample dependence in biomedical image classification benchmarks
    M. Vasinkova, L. Jochymek, P. Gajdos
    bioRxivPreprintCC BYFull textBioinformatics & computational biologybioRxiv
  4. A hybrid supervised learning model for the classification of a low-volume EEG dataset employing powerful ensembles
    Steffi Philip Mulamoottil, T. Vigneswaran
    Scientific ReportsPeer-reviewedCC BY 4.0Full textNeuroscienceCrossref
  5. An urban patrol case urgency classification method based on self-supervised clustering of a graph neural network
    Yirui Jiang, Hao Wu, Tiejun Yang +3
    PLOS OnePeer-reviewedCC BY 4.0Full textNeurosciencePLOS
BibTeX
@article{alaeddine2026eegsdlnet,
  title = {{EEG-SDL-Net: biomedical EEG signal classification via multi-level supervised Kolmogorov–Arnold networks}},
  author = {Hmidi Alaeddine},
  journal = {Biomedical Engineering Letters},
  year = {2026},
  month = sep,
  doi = {10.1007/s13534-026-00618-4},
  url = {https://doi.org/10.1007/s13534-026-00618-4},
}
RIS
TY  - JOUR
TI  - EEG-SDL-Net: biomedical EEG signal classification via multi-level supervised Kolmogorov–Arnold networks
AU  - Hmidi Alaeddine
PY  - 2026
DA  - 2026/09/17
JO  - Biomedical Engineering Letters
DO  - 10.1007/s13534-026-00618-4
UR  - https://doi.org/10.1007/s13534-026-00618-4
SN  - 2093-9868
SN  - 2093-985X
ER  -