4 citations · 4 across the 5 of their papers we have counts for
7 papers
LLMs taking shortcuts in test generation: A study with SAP HANA and LevelDB
Vekil Bekmyradov, Noah C. Pütz, Thomas Bartz-Beielstein
Large Language Models (LLMs) have achieved impressive results on public benchmarks, often leading to claims of advanced reasoning and understanding. However, recent research in cog…
Physics-based Approximation and Prediction of Speedlines in Compressor Performance Maps
Abdul-Malik Akiev, Danyal Ergür, Alexander Schirger +3
Speedlines in compressor performance maps (CPMs) are critical for understanding and predicting compressor behavior under various operating conditions. We investigate a physics-base…
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…
Tuning for Trustworthiness -- Balancing Performance and Explanation Consistency in Neural Network Optimization
Alexander Hinterleitner, Thomas Bartz-Beielstein
Despite the growing interest in Explainable Artificial Intelligence (XAI), explainability is rarely considered during hyperparameter tuning or neural architecture optimization, whe…
Multi-Objective Optimization and Hyperparameter Tuning With Desirability Functions
Thomas Bartz-Beielstein
The desirability-function approach is a widely adopted method for optimizing multiple-response processes. Kuhn (2016) implemented the packages desirability and desirability2 in the…
Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes
Thomas Bartz-Beielstein, Axel Wellendorf, Noah Pütz +6
The increasing shortage of nursing staff and the acute risk of falls in nursing homes pose significant challenges for the healthcare system. This study presents the development of…