Multi-view self-supervised learning for multivariate variable-channel time series T Brüsch, MN Schmidt, TS Alstrøm 2023 IEEE 33rd International Workshop on Machine Learning for Signal …, 2023 | 2 | 2023 |
On convex conceptual regions in deep network representations L Tětková, T Brüsch, TK Scheidt, FM Mager, RØ Aagaard, J Foldager, ... arXiv preprint arXiv:2305.17154, 2023 | 2 | 2023 |
LiRA-CD: An open-source dataset for road condition modelling and research A Skar, AM Vestergaard, T Brüsch, S Pour, E Kindler, TS Alstrøm, ... Data in Brief 49, 109426, 2023 | 1 | 2023 |
On convex decision regions in deep network representations L Tětková, T Brüsch, T Scheidt, F Mager, R Aagaard, J Foldager, ... | | 2023 |