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Found 3 papers, 2 papers with code
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
The significance of this study lies in its contribution to establishing a rigorous and transparent benchmark for BCI research, offering insights into optimal methodologies and highlighting the importance of reproducibility in driving advancements within the field.
Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation
In this paper, we address the task of predicting the location of inner defects from the outer shape of the logs.
Minimizing subject-dependent calibration for BCI with Riemannian transfer learning
Calibration is still an important issue for user experience in Brain-Computer Interfaces (BCI).
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