Similarity-Based Zero-Shot Domain Adaptation for Wearables
Vieth M, Grimmelsmann N, Schneider A, Hammer B (2024)
In: ESANN 2024 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 221-226.
PhD Student
mvieth@techfak.uni-bielefeld.de +49 521 106-12145Room: CITEC 2-110
Markus Vieth studied Cognitive Informatics (Bachelor’s degree) and Intelligent Systems (Master’s degree), both at Bielefeld University. During his Master’s, he focused on household service robotics and achieved 1st place at the RoboCup German Open 2019 as a member of the Team of Bielefeld (ToBi). In 2021, he became a Ph.D. student in the Machine Learning Group, as part of the Dataninja research training group. His research interests include robust design of biosensors, transfer learning/customization of such sensors, and feature selection.
Similarity-Based Zero-Shot Domain Adaptation for Wearables
Vieth M, Grimmelsmann N, Schneider A, Hammer B (2024)
In: ESANN 2024 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 221-226.
Nonlinear Prediction in a Smart Shoe Insole
Vieth M (2024)
DataNinja sAIOnARA Conference.
Grimmelsmann N, Mechtenberg M, Vieth M, Schulz A, Hammer B, Schneider A (2024)
In: Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 611-621.
Extending Drift Detection Methods to Identify When Exactly the Change Happened
Vieth M, Schulz A, Hammer B (2023)
In: Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 92-104.
Efficient Sensor Selection for Individualized Prediction Based on Biosignals
Vieth M, Grimmelsmann N, Schneider A, Hammer B (2022)
In: Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Yin H, Camacho D, Tino P (Eds); Lecture Notes in Computer Science, 13756. Cham: Springer International Publishing: 326-337.