2021 BEETL Competition: Advancing Transfer Learning for Subject
Independence & Heterogenous EEG Data Sets

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets

14 February 2022

Moritz Grosse-Wentrup

Alexandre Gramfort

Sylvain Chevallier

Stylianos Bakas

Siegfried Ludwig

Konstantinos Barmpas

Yannis Panagakis

Stephen M. Gordon

Vernon J. Lawhern

Maciej Śliwowski

Vincent Rouanne

Papers citing "2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets"

1 / 1 papers shown

Title
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG Reinmar J. Kobler J. Hirayama Qibin Zhao M. Kawanabe 19 53 0 02 Jun 2022