10 citations · 16 across the 5 of their papers we have counts for
5 papers
Multi-Objective Optimization with Desirability and Morris-Mitchell Criterion
Thomas Bartz-Beielstein, Eva Bartz, Alexander Hinterleitner +2
Industrial experimental designs frequently lack optimal space-filling properties, rendering them unrepresentative. This study presents a comprehensive methodology to refine existin…
Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization
Eva Bartz, Martin Zaefferer, Olaf Mersmann +1
Machine learning algorithms such as random forests or xgboost are gaining more importance and are increasingly incorporated into production processes in order to enable comprehensi…
Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic
Thomas Bartz-Beielstein, Frederik Rehbach, Olaf Mersmann +1
We present a resource-planning tool for hospitals under special consideration of the COVID-19 pandemic, called babsim.hospital. It provides many advantages for crisis teams, e.g.,…
Optimization of High-dimensional Simulation Models Using Synthetic Data
Thomas Bartz-Beielstein, Eva Bartz, Frederik Rehbach +1
Simulation models are valuable tools for resource usage estimation and capacity planning. In many situations, reliable data is not available. We introduce the BuB simulator, which…
Why we need an AI-resilient society- Profiling Large Language Models
Thomas Bartz-Beielstein, Eva Bartz
Three generations of software have transformed the role of artificial intelligence in society. In the first, programmers wrote explicit logic. In the second, neural networks learne…