| 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 | 21 | 2022 |
| 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 | 21 | 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 | 10 | 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 Özdenizci, T Grosse-Puppendahl, E Kasneci arXiv preprint arXiv:2306.06522, 2023 | 1 | 2023 |
David BethgeLMU Munich, NXP | prev. Meta, Porsche & CMUVerified email at meta.com
