Weak self-supervised learning for seizure forecasting: a feasibility study.

Yang Y, Truong ND, Eshraghian JK, Nikpour A, Kavehei O

DOI: 10.1098/rsos.220374
Published: 2022 Aug
Container: Royal Society open science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1098/rsos.220374,
  title = {Weak self-supervised learning for seizure forecasting: a feasibility study.},
  author = {Yang Y and Truong ND and Eshraghian JK and Nikpour A and Kavehei O},
  year = {2022},
  journal = {Royal Society open science},
  doi = {10.1098/rsos.220374},
  url = {https://doi.org/10.1098/rsos.220374}
}

RIS

TY  - JOUR
TI  - Weak self-supervised learning for seizure forecasting: a feasibility study.
AU  - Yang Y
AU  - Truong ND
AU  - Eshraghian JK
AU  - Nikpour A
AU  - Kavehei O
PY  - 2022
JO  - Royal Society open science
DO  - 10.1098/rsos.220374
UR  - https://doi.org/10.1098/rsos.220374
ER  -

APA

Y, Y., ND, T., JK, E., A, N., & O, K. (2022). Weak self-supervised learning for seizure forecasting: a feasibility study.. Royal Society open science. https://doi.org/10.1098/rsos.220374

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pubmed · retrieved 2026-09-25T14:48:50.557Z