activity
20212026
most citedEnhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution

4 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

math.NA2026

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…

math.OC2025

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…

cs.LG2025

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…

cs.LG2024

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…

cs.LG2024★ 4 cited

Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution

Alexander Hinterleitner, Thomas Bartz-Beielstein, Richard Schulz +3

Research in Explainable Artificial Intelligence (XAI) is increasing, aiming to make deep learning models more transparent. Most XAI methods focus on justifying the decisions made b…

cs.AI2021

Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis

Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür +9

Crises like the COVID-19 pandemic pose a serious challenge to health-care institutions. They need to plan the resources required for handling the increased load, for instance, hosp…