MS-STGAN: A dual-branch multi-scale spatio-temporal generative adversarial framework for incomplete EEG-based emotion recognition.
- DOI
- 10.1016/j.neunet.2026.109203
- Published
- 2026 Dec
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109203,
title = {MS-STGAN: A dual-branch multi-scale spatio-temporal generative adversarial framework for incomplete EEG-based emotion recognition.},
author = {Cheng C and Zhang J and Cheng Y and Jia Z and He W},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109203},
url = {https://doi.org/10.1016/j.neunet.2026.109203}
}RIS
TY - JOUR TI - MS-STGAN: A dual-branch multi-scale spatio-temporal generative adversarial framework for incomplete EEG-based emotion recognition. AU - Cheng C AU - Zhang J AU - Cheng Y AU - Jia Z AU - He W PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109203 UR - https://doi.org/10.1016/j.neunet.2026.109203 ER -
APA
C, C., J, Z., Y, C., Z, J., & W, H. (2026). MS-STGAN: A dual-branch multi-scale spatio-temporal generative adversarial framework for incomplete EEG-based emotion recognition.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109203
Source records
- pubmed · retrieved 2026-09-26T05:30:32.689Z