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
I was appointed interim professor for Data Science (W2) for next semester
Paper on Intra-Class Correlation as Pain Threshold Measurement
Our Covid-19 Paper was featured in an interview with Facebook
Paper on Semi-Structured Piecewise Exponential Models accepted at AAAI Spring Symposium 2021.
Paper on Machine Learning Approach for Predictive Modelling of Post-surgical Recovery.
Paper on Machine Learning for Survival Analysis accepted at the ECML 2020.
Paper on classification of Patellofemoral Pain Syndrome accepted at Gait and Posture
Today I finally got confirmed my new position.
Due to Covid-19 we unfortunately had to cancel …
Paper on interpretable machine learning models for classifying back pain accepted
Thanks to several people making a short research stay at Xiamen University possible!
I will present our new unifying method at the Institutskolloquium on 26th of February.
From 7th to 10th of July in 2020 we will host the European useR! satellite conference in Munich.
Paper on neck pain classification accepted at Gait and Posture
We will host a session on advances in deep regression.
New homepage launched.
I will join the working group computational statistics in Jan ‘20
Open researcher positions for deep distributional regressions
cAIC4 now supports lmeand gamm objects
Paper Inference for $L_2$-Boosting accepted
Our next Applied R Meetup will be at CYOSS
I will give a talk on Inference for L2-Boosting
Paper Conditional Model Selection in Mixed-Effects Models with cAIC4 accepted