Honest dataset cards for public EEG/BCI datasets: leakage-aware baselines, chance/significance, per-class metrics, and MOABB + EEGDash metadata. Not medical software.
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Updated
Jun 23, 2026 - Python
Honest dataset cards for public EEG/BCI datasets: leakage-aware baselines, chance/significance, per-class metrics, and MOABB + EEGDash metadata. Not medical software.
EEG Classification using MiniRocket + Ridge Classifier on BCI Competition IV Dataset 2a. Reproducible pipeline for Time-Series feature extraction and classification.
Channel selection for P300 BCI using a continuous-weight evolutionary strategy. Evaluated against oracle, uniform, and SNR-based baselines on the Lee2019_ERP dataset, with cross-subject transfer analysis.
EEG-based asynchronous BCI control vs non-control classification pipeline using CSP and machine learning.
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