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04/30/2021
A User-Guided Bayesian Framework for Ensemble Feature Selection in Life Science Applications (UBayFS)
Training machine learning models on high-dimensional datasets is a chall...
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02/04/2021
From a Point Cloud to a Simulation Model: Bayesian Segmentation and Entropy based Uncertainty Estimation for 3D Modelling
The 3D modelling of indoor environments and the generation of process si...
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05/26/2020
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants
Accurate demand forecasting is one of the key aspects for successfully m...
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04/02/2019
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks
In this article a novel approach for training deep neural networks using...
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03/13/2019
A novel Bayesian approach for variable selection in linear regression models
We propose a novel Bayesian approach to the problem of variable selectio...
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02/26/2019