A Novel Adversarial Approach for EEG Dataset Refinement: Enhancing Generalization Through Proximity-to-Boundary Scoring.
- DOI
- 10.1109/tcyb.2026.3721131
- Published
- 2026 Aug 14
- Container
- IEEE transactions on cybernetics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tcyb.2026.3721131,
title = {A Novel Adversarial Approach for EEG Dataset Refinement: Enhancing Generalization Through Proximity-to-Boundary Scoring.},
author = {Kim SJ and Kong H and Lee DH and Kwak HG and Lee SW},
year = {2026},
journal = {IEEE transactions on cybernetics},
doi = {10.1109/tcyb.2026.3721131},
url = {https://doi.org/10.1109/tcyb.2026.3721131}
}RIS
TY - JOUR TI - A Novel Adversarial Approach for EEG Dataset Refinement: Enhancing Generalization Through Proximity-to-Boundary Scoring. AU - Kim SJ AU - Kong H AU - Lee DH AU - Kwak HG AU - Lee SW PY - 2026 JO - IEEE transactions on cybernetics DO - 10.1109/tcyb.2026.3721131 UR - https://doi.org/10.1109/tcyb.2026.3721131 ER -
APA
SJ, K., H, K., DH, L., HG, K., & SW, L. (2026). A Novel Adversarial Approach for EEG Dataset Refinement: Enhancing Generalization Through Proximity-to-Boundary Scoring.. IEEE transactions on cybernetics. https://doi.org/10.1109/tcyb.2026.3721131
Source records
- pubmed · retrieved 2026-09-25T11:31:54.759Z