Andreas Lintermann
Orcid: 0000-0003-3321-6599
According to our database1,
Andreas Lintermann
authored at least 21 papers
between 2013 and 2024.
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Bibliography
2024
Distributed hybrid quantum-classical performance prediction for hyperparameter optimization.
Quantum Mach. Intell., December, 2024
On the choice of physical constraints in artificial neural networks for predicting flow fields.
Future Gener. Comput. Syst., 2024
Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations.
Future Gener. Comput. Syst., 2024
Robustness evaluation of large-scale machine learning-based reduced order models for reproducing flow fields.
Future Gener. Comput. Syst., 2024
Automated surgery planning for an obstructed nose by combining computational fluid dynamics with reinforcement learning.
Comput. Biol. Medicine, 2024
2023
Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks.
J. Big Data, December, 2023
Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC.
Proceedings of the 46th MIPRO ICT and Electronics Convention, 2023
Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods.
Proceedings of the International Conference on Automated Machine Learning, 2023
2022
An effective simulation- and measurement-based workflow for enhanced diagnostics in rhinology.
Medical Biol. Eng. Comput., 2022
A machine-learning-based method for automatizing lattice-Boltzmann simulations of respiratory flows.
Appl. Intell., 2022
Practice and Experience using High Performance Computing and Quantum Computing to Speed-up Data Science Methods in Scientific Applications.
Proceedings of the 45th Jubilee International Convention on Information, 2022
Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Effects of the Nasal Cavity Complexity on the Pharyngeal Airway Fluid Mechanics: A Computational Study.
J. Digit. Imaging, 2021
Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021
Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021
2020
Proceedings of the High Performance Computing, 2020
2019
Future Gener. Comput. Syst., 2019
2018
Proceedings of the High Performance Computing, 2018
2016
Proceedings of the High-Performance Scientific Computing, 2016
2013
Fluid mechanics based classification of the respiratory efficiency of several nasal cavities.
Comput. Biol. Medicine, 2013