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Subject-Independent Classification of P300 Event-Related Potentials Using a Small Number of Training Subjects.

, , and . IEEE Trans. Hum. Mach. Syst., 52 (5): 843-854 (2022)

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Design and evaluation of a P300 visual brain-computer interface speller in cyrillic characters., , , and . RO-MAN, page 1006-1011. IEEE, (2017)Trained by demonstration humanoid robot controlled via a BCI system for telepresence., , , and . BCI, page 1-4. IEEE, (2018)Deep Transfer Learning for Subject-Independent ERP-based BCIs., , , and . BCI, page 1-3. IEEE, (2021)Cross-correlation between HbO and HbR as an effective feature of motion artifact in fNIRS signal., , , , and . BCI, page 1-3. IEEE, (2018)Data Augmentation for P300-based Brain-Computer Interfaces Using Generative Adversarial Networks., , and . BCI, page 1-7. IEEE, (2021)Is Riemannian Geometry Better than Euclidean in Averaging Covariance Matrices for CSP-based Subject-Independent Classification of Motor Imagery?, , , and . EMBC, page 910-914. IEEE, (2021)Cortical activation pattern for grasping during observation, imagery, execution, FES, and observation-FES integrated BCI: An fNIRS pilot study., , , , , , and . EMBC, page 6345-6348. IEEE, (2013)On Robust Classification of Hemodynamic Signals for BCIs via Multiple Kernel ν-SVM., and . IROS, page 3063-3068. IEEE, (2016)Subject-Independent Brain-Computer Interfaces: A Comparative Study of Attention Mechanism-Driven Deep Learning Models., and . IHCI (1), volume 14531 of Lecture Notes in Computer Science, page 245-254. Springer, (2023)Design and Optimization of a BCI-Driven Telepresence Robot Through Programming by Demonstration., , , and . IEEE Access, (2019)