460 citations · 670 across the 4 of their papers we have counts for
4 papers
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets
Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup +18
Transfer learning and meta-learning offer some of the most promising avenues to unlock the scalability of healthcare and consumer technologies driven by biosignal data. This is bec…
Tangent space spatial filters for interpretable and efficient Riemannian classification
Jiachen Xu, Moritz Grosse-Wentrup, Vinay Jayaram
Methods based on Riemannian geometry have proven themselves to be good models for decoding in brain-computer interfacing (BCI). However, one major drawback of these methods is that…
MOABB: Trustworthy algorithm benchmarking for BCIs
Vinay Jayaram, Alexandre Barachant
BCI algorithm development has long been hampered by two major issues: small sample sets and a lack of reproducibility. We offer a solution to both of these problems via a software…
Transfer Learning in Brain-Computer Interfaces
Vinay Jayaram, Morteza Alamgir, Yasemin Altun +2
The performance of brain-computer interfaces (BCIs) improves with the amount of available training data, the statistical distribution of this data, however, varies across subjects…