BFRCNet: addressing the class imbalance problem in the rapid serial visual presentation paradigm for decoding.

Xu M, Gao X, Li F, Zhang B, Chen Y.

DOI: 10.1088/1741-2552/ae2d9a
Published: 2026-07-30
Container: J Neural Eng
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1088/1741-2552/ae2d9a,
  title = {BFRCNet: addressing the class imbalance problem in the rapid serial visual presentation paradigm for decoding.},
  author = {Xu M and  Gao X and  Li F and  Zhang B and  Chen Y.},
  year = {2026},
  journal = {J Neural Eng},
  doi = {10.1088/1741-2552/ae2d9a},
  url = {https://doi.org/10.1088/1741-2552/ae2d9a}
}

RIS

TY  - JOUR
TI  - BFRCNet: addressing the class imbalance problem in the rapid serial visual presentation paradigm for decoding.
AU  - Xu M
AU  -  Gao X
AU  -  Li F
AU  -  Zhang B
AU  -  Chen Y.
PY  - 2026
JO  - J Neural Eng
DO  - 10.1088/1741-2552/ae2d9a
UR  - https://doi.org/10.1088/1741-2552/ae2d9a
ER  -

APA

M, X., X, G., F, L., B, Z., & Y., C. (2026). BFRCNet: addressing the class imbalance problem in the rapid serial visual presentation paradigm for decoding.. J Neural Eng. https://doi.org/10.1088/1741-2552/ae2d9a

Source records

europe-pmc · retrieved 2026-09-26T13:12:08.457Z