2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. - 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; et al. (NeurIPS (Competition and Demos), 2021)

EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters. - Siegfried Ludwig; Stylianos Bakas; Dimitrios A. Adamos; Nikolaos A. Laskaris; Yannis Panagakis; Stefanos Zafeiriou (CoRR, 2021)

Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition. - Stylianos Bakas; Siegfried Ludwig; Konstantinos Barmpas; Mehdi Bahri; Yannis Panagakis; Nikolaos A. Laskaris; Dimitrios A. Adamos; Stefanos Zafeiriou (CoRR, 2022)

Latent Alignment with Deep Set EEG Decoders. - Stylianos Bakas; Siegfried Ludwig; Dimitrios A. Adamos; Nikolaos A. Laskaris; Yannis Panagakis; Stefanos Zafeiriou (CoRR, 2023)