Markus Vieth

According to our database, Markus Vieth authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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, Barbara Hammer, Axel Schneider

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

Extending Drift Detection Methods to Identify When Exactly the Change Happened.

Markus Vieth, Alexander Schulz, Barbara Hammer

Proceedings of the Advances in Computational Intelligence, 2023

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

Proceedings of the International Joint Conference on Neural Networks, 2022

Efficient Sensor Selection for Individualized Prediction Based on Biosignals.

Markus Vieth, Nils Grimmelsmann, Axel Schneider, Barbara Hammer

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

2021

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, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021