Comprehensive benchmarking and explainable machine learning analysis of EEG imagery activity recognition.
- DOI
- 10.1038/s41598-026-50997-y
- Published
- 2026 May 16
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-50997-y,
title = {Comprehensive benchmarking and explainable machine learning analysis of EEG imagery activity recognition.},
author = {Siam MJN and Showrov TA and Hossain MS and Ayaan NS and Bari SMS and Tariq F and Mahmud AA},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-50997-y},
url = {https://doi.org/10.1038/s41598-026-50997-y}
}RIS
TY - JOUR TI - Comprehensive benchmarking and explainable machine learning analysis of EEG imagery activity recognition. AU - Siam MJN AU - Showrov TA AU - Hossain MS AU - Ayaan NS AU - Bari SMS AU - Tariq F AU - Mahmud AA PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-50997-y UR - https://doi.org/10.1038/s41598-026-50997-y ER -
APA
MJN, S., TA, S., MS, H., NS, A., SMS, B., F, T., & AA, M. (2026). Comprehensive benchmarking and explainable machine learning analysis of EEG imagery activity recognition.. Scientific reports. https://doi.org/10.1038/s41598-026-50997-y
Source records
- pubmed · retrieved 2026-09-25T18:54:53.026Z
- europe-pmc · retrieved 2026-09-25T18:54:53.019Z
- doaj · retrieved 2026-09-25T18:54:53.023Z