We have 4 of 40 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Brain-computer interfaces decode neural activity, yet class-label supervision (CLS) leaves relationships among classes implicit. We propose Language as Supervision (LaS), which aligns neural features with natural-language class descriptions through learned projections and predicts classes using candidate text prototype...
Recently, conventional domain adaptation (DA) methods have demonstrated promising performance in cross-subject classification in electroencephalogram (EEG)-based brain-computer interfaces (BCIs). However, these methods require direct access to labeled source subject data, potentially compromising biometric privacy. Sou...
This work presents a calibration-focused dataset containing 163 trials from 12 participants, with separate 18-point fitting and 32-point test grids, and uses it to evaluate global, local, and composite correction functions under a common spatial-extrapolation protocol and introduces a lightweight neural refiner that co...
It is demonstrated that deep latent representations extract clinically relevant signatures from noisy signals, enabling precise, rapid, and data-efficient diagnosis.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
