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"2021 BEETL Competition: Advancing Transfer Learning for Subject ..."

Xiaoxi Wei et al. (2021)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2023-11-12

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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/nips/WeiFGGCJJBLBBPL21
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  persistent URL:
  - https://dblp.org/rec/conf/nips/WeiFGGCJJBLBBPL21
Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk:
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS (Competition and Demos) 2021: 205-219

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