AIM-STAGE: a self-supervised framework via adaptive interval-aware multi-kernel calibration and spectro-temporal exploration for few-shot EEG staging
- DOI
- 10.1088/1741-2552/aebd1c
- Published
- 2026-11-03
- Container
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1088/1741-2552/aebd1c,
title = {AIM-STAGE: a self-supervised framework via adaptive interval-aware multi-kernel calibration and spectro-temporal exploration for few-shot EEG staging},
author = {Yijia Liu and Tianhao Liu and Jun Yuan and Yunfeng Li and Xingyu Liu and Xiaoqing Wang and Tiantian Ma and Liyang Bi and Xiaozhu Lin and Nasrollah Moghadam Charkari and Hossein Ganjidoust and Titus Alfred Makudali Msagati and Qianjin Guo},
year = {2026},
journal = {Journal of Neural Engineering},
doi = {10.1088/1741-2552/aebd1c},
url = {https://doi.org/10.1088/1741-2552/aebd1c}
}RIS
TY - JOUR TI - AIM-STAGE: a self-supervised framework via adaptive interval-aware multi-kernel calibration and spectro-temporal exploration for few-shot EEG staging AU - Yijia Liu AU - Tianhao Liu AU - Jun Yuan AU - Yunfeng Li AU - Xingyu Liu AU - Xiaoqing Wang AU - Tiantian Ma AU - Liyang Bi AU - Xiaozhu Lin AU - Nasrollah Moghadam Charkari AU - Hossein Ganjidoust AU - Titus Alfred Makudali Msagati AU - Qianjin Guo PY - 2026 JO - Journal of Neural Engineering DO - 10.1088/1741-2552/aebd1c UR - https://doi.org/10.1088/1741-2552/aebd1c ER -
APA
Liu, Y., Liu, T., Yuan, J., Li, Y., Liu, X., Wang, X., Ma, T., Bi, L., Lin, X., Charkari, N. M., Ganjidoust, H., Msagati, T. A. M., & Guo, Q. (2026). AIM-STAGE: a self-supervised framework via adaptive interval-aware multi-kernel calibration and spectro-temporal exploration for few-shot EEG staging. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/aebd1c
Source records
- crossref · retrieved 2026-11-06T22:54:12.705Z