A novel and accurate EEG emotion classification model based on multiple attention local binary patterns.
- DOI
- 10.1186/s12916-026-04940-7
- Published
- 2026 Jun 1
- Container
- BMC medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12916-026-04940-7,
title = {A novel and accurate EEG emotion classification model based on multiple attention local binary patterns.},
author = {Koksal H and Yildirim K and Nayak J and Baygin M and Barua PD and Tasci B and Dogan S and Tuncer T and Acharya UR},
year = {2026},
journal = {BMC medicine},
doi = {10.1186/s12916-026-04940-7},
url = {https://doi.org/10.1186/s12916-026-04940-7}
}RIS
TY - JOUR TI - A novel and accurate EEG emotion classification model based on multiple attention local binary patterns. AU - Koksal H AU - Yildirim K AU - Nayak J AU - Baygin M AU - Barua PD AU - Tasci B AU - Dogan S AU - Tuncer T AU - Acharya UR PY - 2026 JO - BMC medicine DO - 10.1186/s12916-026-04940-7 UR - https://doi.org/10.1186/s12916-026-04940-7 ER -
APA
H, K., K, Y., J, N., M, B., PD, B., B, T., S, D., T, T., & UR, A. (2026). A novel and accurate EEG emotion classification model based on multiple attention local binary patterns.. BMC medicine. https://doi.org/10.1186/s12916-026-04940-7
Source records
- pubmed · retrieved 2026-11-10T16:27:10.798Z