Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic. - Thomas Bartz-Beielstein; Marcel Dröscher; Alpar Gür; Alexander Hinterleitner; Tom Lawton; Olaf Mersmann; Dessislava Peeva; Lennard Reese; Nicolas Rehbach; Frederik Rehbach; Amrita Sen; Aleksandr Subbotin; et al. (CEC, 2021)

Resource planning for hospitals under special consideration of the COVID-19 pandemic: optimization and sensitivity analysis. - Thomas Bartz-Beielstein; Marcel Dröscher; Alpar Gür; Alexander Hinterleitner; Olaf Mersmann; Dessislava Peeva; Lennard Reese; Nicolas Rehbach; Frederik Rehbach; A. Sen; Aleksandr Subbotin; Martin Zaefferer (GECCO Companion, 2021)

Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis. - Thomas Bartz-Beielstein; Marcel Dröscher; Alpar Gür; Alexander Hinterleitner; Olaf Mersmann; Dessislava Peeva; Lennard Reese; Nicolas Rehbach; Frederik Rehbach; Amrita Sen; Aleksandr Subbotin; Martin Zaefferer (CoRR, 2021)

Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution. - Alexander Hinterleitner; Thomas Bartz-Beielstein; Richard Schulz; Sebastian Spengler; Thomas Winter; Christoph Leitenmeier (CoRR, 2024)

Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes. - Thomas Bartz-Beielstein; Axel Wellendorf; Noah Pütz; Jens Brandt; Alexander Hinterleitner; Richard Schulz; Richard Scholz; Olaf Mersmann; Robin Knabe (CoRR, 2024)

Tuning for Trustworthiness - Balancing Performance and Explanation Consistency in Neural Network Optimization. - Alexander Hinterleitner; Thomas Bartz-Beielstein (CoRR, 2025)