| EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders D Bethge, P Hallgarten, T Grosse-Puppendahl, M Kari, LL Chuang, ... 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 24 | 2022 |
| Domain-Invariant Representation Learning from EEG with Private Encoders D Bethge, P Hallgarten, T Grosse-Puppendahl, M Kari, R Mikut, A Schmidt, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 22 | 2022 |
| Exploiting Multiple EEG Data Domains with Adversarial Learning D Bethge, P Hallgarten, O Özdenizci, R Mikut, A Schmidt, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 11 | 2022 |
| Interpretable Time-Dependent Convolutional Emotion Recognition with Contextual Data Streams D Bethge, C Patsch, P Hallgarten, T Kosch Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023 | 3 | 2023 |
| TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning P Hallgarten, D Bethge, O Özdcnizci, T Grosse-Puppendahl, E Kasneci 2023 31st European Signal Processing Conference (EUSIPCO), 1030-1034, 2023 | 1 | 2023 |
| Computer-implemented method for determining a navigation route M Kari, LFSP Coelho, P Hallgarten, D Bethge, T Grosse-Puppendahl US Patent App. 17/973,063, 2024 | | 2024 |
David BethgeLMU Munich, NXP | prev. Meta, Porsche & CMU在 meta.com 的电子邮件经过验证
