Abstract: To investigate the impact of cross-grained sentiments on user feature representation and address the issue of data sparsity, this paper proposes a Personalized Recommendation Algorithm ...

Real EEG motor-imagery BCI decoder using PhysioNet EEGBCI, MNE-Python, CSP, LDA, cross-validation, and a local dashboard for trial-level inspection. The goal is not to present a new BCI algorithm. The ...

Build a comprehensive benchmark of popular Brain-Computer Interface (BCI) algorithms applied on an extensive list of freely available EEG datasets. Reproducible Research in BCI has a long way to go.

Microsoft Research conducts fundamental science and technology research across a spectrum of research areas. With labs around the globe we pursue breakthroughs across the computing and AI stack to ...