Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. - Christian Eichenberger; Moritz Neun; Henry Martin; Pedro Herruzo; Markus Spanring; Yichao Lu; Sungbin Choi; Vsevolod Konyakhin; Nina Lukashina; Aleksei Shpilman; Nina Wiedemann; Martin Raubal; et al. (NeurIPS (Competition and Demos), 2021)

Efficient Sensor Selection for Individualized Prediction Based on Biosignals. - Markus Vieth; Nils Grimmelsmann; Axel Schneider; Barbara Hammer (IDEAL, 2022)

A Graph-based U-Net Model for Predicting Traffic in unseen Cities. - Luca Hermes; Barbara Hammer; Andrew Melnik; Riza Velioglu; Markus Vieth; Malte Schilling (IJCNN, 2022)

Extending Drift Detection Methods to Identify When Exactly the Change Happened. - Markus Vieth; Alexander Schulz 001; Barbara Hammer (IWANN (1), 2023)

Predicting the Level of Co-Activation of One Muscle Head from the Other Muscle Head of the Biceps Brachii Muscle by Linear Regression and Shallow Feedforward Neural Networks. - Nils Grimmelsmann; Malte Mechtenberg; Markus Vieth; Alexander Schulz 001; Barbara Hammer; Axel Schneider (BIOSTEC (1), 2024)

Similarity-Based Zero-Shot Domain Adaptation for Wearables. - Markus Vieth; Nils Grimmelsmann; Axel Schneider; Barbara Hammer (ESANN, 2024)