Scholar
Andrej Tschalzev
Google Scholar ID: N7yih0oAAAAJ
University of Mannheim
Citations & Impact
Citations
69
H-index
5
i10-index
2
Publications
9
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- - Cohausz, L., Tschalzev, A., Bartelt, C. and Stuckenschmidt, H. (2024). Investigating demographic features and their connection to performance, predictions, and fairness in EDM models. Journal of Educational Data Mining, 16, 177–213.
- - Marton, S., Lüdtke, S., Bartelt, C., Tschalzev, A. and Stuckenschmidt, H. (2024). Explaining neural networks without access to training data. Machine Learning, 113, 3633-3652.
- - Rink, J., Szabo, K., Hoyer, C., Saver, J. L., Nour, M., Audebert, H. J., Kunz, W. G., Froelich, M. F., Heinzl, A., Tschalzev, A., Hoffmann, J., Schoenberg, S. O. and Tollens, F. (2024). Mobile stroke units services in Germany: A cost-effectiveness modeling perspective on catchment zones, operating modes, and staffing. European Journal of Neurology, 1–9.
- - Rink, J., Tollens, F., Tschalzev, A., Bartelt, C., Heinzl, A., Hoffmann, J., Schoenberg, S. O., Marzina, A., Sandikci, V., Wiegand, C., Hoyer, C. and Szabo, K. (2024). Establishing an MSU service in a medium-sized German urban area — clinical and economic considerations. Frontiers in Neurolgy, 15, 1–9.
Research Experience
- Since 2021, Scientific Assistant at the Institute for Enterprise Systems.
Education
- - 2018-2021: Master of Science in Data Science at the University of Mannheim
- - 2014-2018: Bachelor of Arts in Sociology at the University of Mannheim
Background
- Research Interests: Multimodal machine learning, Deep Learning for tabular data, Data Science for Healthcare, Activity Recognition.
