Markus Vieth

PhD Student

Room:

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.

Publications:

Bayesian-Optimization-Based Sensor Placement for EEG and Other Biosignals

Vieth M, Hammer B (2026)
In: Artificial Neural Networks and Machine Learning – ICANN 2026. 35th International Conference on Artificial Neural Networks, Padua, Italy, September 14–17, 2026, Proceedings, Part IV. Pasa L, Lintas A, Tetko IV, Micheli A, Navarin N, Villa AEP, Tortorella D, Polato M (Eds); Lecture Notes in Computer Science, 17092. Cham: Springer Nature Switzerland: 431-442.

Robust Individual Sensor Placement by Means of Domain-informed Adversarial Training

Vieth M, Hammer B (2025)
In: 2025 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8.

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

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.

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.

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.