Paper accepted at the Journal of Biomechanics
Comparing shallow, deep, and transfer learning in predicting joint moments in running
Comparing shallow, deep, and transfer learning in predicting joint moments in running
Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach
Paper Deep Semi-Supervised Time Series Classification accepted at ICMLA
I will serve another term as interim professor for Data Science (W2) in the upcoming winter semester.
Selective Inference for Additive and Linear Mixed Models
Modern Machine Learning Approaches Applied in Spinal Pain Research
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany
AutoCompboost: Automatic Interpretable Boosting
Paper on Bayesian Time-Varying Autoregssive Models accepted at the Journal of Forecasting
Paper Deep Conditional Transformation Models accepted at ECML