Paper accepted at the Journal of Biomechanics
Comparing shallow, deep, and transfer learning in predicting joint moments in running
News
10/13/21 >10/03/21 >
Paper accepted at WACV 2021
Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach
09/18/21 >
Paper accepted at the ICMLA
Paper Deep Semi-Supervised Time Series Classification accepted at ICMLA
09/17/21 >
Interim Professorship Data Science
I will serve another term as interim professor for Data Science (W2) in the upcoming winter semester.
09/10/21 >
Paper accepted at Computational Statistics and Data Analysis
Selective Inference for Additive and Linear Mixed Models
08/03/21 >
Paper accepted at the Journal of Electromyography and Kinesiology
Modern Machine Learning Approaches Applied in Spinal Pain Research
08/03/21 >
Our Work on Covid-19 is featured by Facebook’s Data for Good
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany
07/23/21 >
Paper accepted at the ECML-PKDD Workshop on Automating Data Science (ADS2021)
AutoCompboost: Automatic Interpretable Boosting
07/06/21 >
Paper accepted at the Journal of Forecasting
Paper on Bayesian Time-Varying Autoregssive Models accepted at the Journal of Forecasting
06/18/21 >
Paper accepted at the ECML-PKDD
Paper Deep Conditional Transformation Models accepted at ECML