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2021 BEETL competition : advancing transfer learning for subject independence and heterogenous EEG data sets

Title data

Wei, Xiaoxi ; Faisal, A. Aldo ; Grosse-Wentrup, Moritz ; Gramfort, Alexandre ; Chevalliere, Sylvain ; Jayaram, Vinay ; Jeunet, Camille ; Bakas, Stylianos ; Ludwig, Siegfried ; Barmpas, Konstantinos ; Bahri, Mehdi ; Panagakis, Yannis ; Laskaris, Nikolaos ; Adamos, Dimitrios A. ; Zafeiriou, Stefanos ; Duong, William C. ; Gordon, Stephen M. ; Lawhern, Vernon J. ; Sliwowski, Maciej ; Rouanne, Vincent ; Tempczyk, Piotr:
2021 BEETL competition : advancing transfer learning for subject independence and heterogenous EEG data sets.
In: Kiela, Douwe ; Ciccone, Marco ; Caputo, Barbara (ed.): NeurIPS 2021 Competition and Demonstration Track : Revised Selected Papers. - s.l. , 2022 . - pp. 205-219 . - (Proceedings of Machine Learning Research ; 176 )

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Life Sciences: Food, Nutrition and Health
Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften - Univ.-Prof. Dr. Aldo Faisal
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences
Date Deposited: 17 Aug 2023 12:33
Last Modified: 17 Aug 2023 12:33
URI: https://eref.uni-bayreuth.de/id/eprint/86596