Paper accepted at the Journal of Electromyography and Kinesiology
Modern Machine Learning Approaches Applied in Spinal Pain Research
News
08/03/21 >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
03/25/21 >
Interim Professorship Data Science
I was appointed interim professor for Data Science (W2) for next semester
03/12/21 >
Paper accepted at Scientific Reports (Nature)
Paper on Intra-Class Correlation as Pain Threshold Measurement
03/05/21 >
Our Covid-19 Paper and Facebook’s Data for Good Program
Our Covid-19 Paper was featured in an interview with Facebook
02/14/21 >
Paper accepted at AAAI Spring Symposium 2021
Paper on Semi-Structured Piecewise Exponential Models accepted at AAAI Spring Symposium 2021.
09/28/20 >
Paper accepted at Scientific Reports (Nature)
Paper on Machine Learning Approach for Predictive Modelling of Post-surgical Recovery.