Alexander Hinterleitner

According to our database, Alexander Hinterleitner authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Physics-based Approximation and Prediction of Speedlines in Compressor Performance Maps.

Abdul-Malik Akiev, Danyal Ergür, Alexander Schirger, Matthias Müller, Alexander Hinterleitner, Thomas Bartz-Beielstein

CoRR, March, 2026

2025

Tuning for Trustworthiness - Balancing Performance and Explanation Consistency in Neural Network Optimization.

Alexander Hinterleitner, Thomas Bartz-Beielstein

CoRR, May, 2025

Automated Prediction of Compressor Performance Maps: Surrogate-Based Optimization with RNNs for Enhanced Extrapolation and Interpolation.

Richard Schulz, Alexander Hinterleitner, Noah Christoph Pütz, Jens Uwe Brandt, Matthias Müller, Thomas Bartz-Beielstein

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

2024

Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes.

Thomas Bartz-Beielstein, Axel Wellendorf, Noah Christoph Pütz, Jens Uwe Brandt, Alexander Hinterleitner, Richard Schulz, Richard Scholz, Olaf Mersmann, Robin Knabe

CoRR, 2024

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

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

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

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

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, Martin Zaefferer

Proceedings of the IEEE Congress on Evolutionary Computation, 2021