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Andreas Lintermann
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2020 – today
- 2024
- [j11]Mario Rüttgers, Moritz Waldmann, Klaus Vogt, Justus Ilgner, Wolfgang Schröder, Andreas Lintermann:
Automated surgery planning for an obstructed nose by combining computational fluid dynamics with reinforcement learning. Comput. Biol. Medicine 173: 108383 (2024) - [j10]Aito Higashida, Kazuto Ando, Mario Rüttgers, Andreas Lintermann, Makoto Tsubokura:
Robustness evaluation of large-scale machine learning-based reduced order models for reproducing flow fields. Future Gener. Comput. Syst. 159: 243-254 (2024) - [j9]Xin Liu, Mario Rüttgers, Alessio Quercia, Romain Egele, Elisabeth Pfaehler, Rushikesh Shende, Marcel Aach, Wolfgang Schröder, Prasanna Balaprakash, Andreas Lintermann:
Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations. Future Gener. Comput. Syst. 159: 474-488 (2024) - [j8]Rishabh Puri, Junya Onishi, Mario Rüttgers, Rakesh Sarma, Makoto Tsubokura, Andreas Lintermann:
On the choice of physical constraints in artificial neural networks for predicting flow fields. Future Gener. Comput. Syst. 161: 361-375 (2024) - [j7]Eric Wulff, Juan Pablo García Amboage, Marcel Aach, Thorsteinn Eli Gislason, Thorsteinn Kristinn Ingolfsson, Tomas Kristinn Ingolfsson, Edoardo Pasetto, Amer Delilbasic, Morris Riedel, Rakesh Sarma, Maria Girone, Andreas Lintermann:
Distributed hybrid quantum-classical performance prediction for hyperparameter optimization. Quantum Mach. Intell. 6(2): 59 (2024) - 2023
- [j6]Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel, Andreas Lintermann:
Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks. J. Big Data 10(1): 96 (2023) - [c10]Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel, Andreas Lintermann:
Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods. AutoML 2023: 12/1-17 - [c9]Morris Riedel, Chadi Barakat, Sebastian Johannes Fritsch, Marcel Aach, J. Busch, Andreas Lintermann, Andreas Schuppert, Sigurður Brynjólfsson, Helmut Neukirchen, Matthias Book:
Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC. MIPRO 2023: 435-440 - [c8]Marcel Aach, Rakesh Sarma, Eray Inanc, Morris Riedel, Andreas Lintermann:
Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision. SC Workshops 2023: 1776-1779 - 2022
- [j5]Mario Rüttgers, Moritz Waldmann, Wolfgang Schröder, Andreas Lintermann:
A machine-learning-based method for automatizing lattice-Boltzmann simulations of respiratory flows. Appl. Intell. 52(8): 9080-9100 (2022) - [j4]Moritz Waldmann, Alice Grosch, Christian Witzler, Matthias Lehner, Odo Benda, Walter Koch, Klaus Vogt, Christopher Kohn, Wolfgang Schröder, Jens Henrik Göbbert, Andreas Lintermann:
An effective simulation- and measurement-based workflow for enhanced diagnostics in rhinology. Medical Biol. Eng. Comput. 60(2): 365-391 (2022) - [c7]Marcel Aach, Rocco Sedona, Andreas Lintermann, Gabriele Cavallaro, Helmut Neukirchen, Morris Riedel:
Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification. IGARSS 2022: 263-266 - [c6]Morris Riedel, Matthias Book, Helmut Neukirchen, Gabriele Cavallaro, Andreas Lintermann:
Practice and Experience using High Performance Computing and Quantum Computing to Speed-up Data Science Methods in Scientific Applications. MIPRO 2022: 281-286 - 2021
- [j3]Hussein Aljawad, Mario Rüttgers, Andreas Lintermann, Wolfgang Schröder, Kyungmin Clara Lee:
Effects of the Nasal Cavity Complexity on the Pharyngeal Airway Fluid Mechanics: A Computational Study. J. Digit. Imaging 34(5): 1120-1133 (2021) - [c5]Morris Riedel, Rocco Sedona, Chadi Barakat, Pétur Helgi Einarsson, Reza Hassanian, Gabriele Cavallaro, Matthias Book, Helmut Neukirchen, Andreas Lintermann:
Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures. IPDPS Workshops 2021: 76-85 - [c4]Mario Rüttgers, Moritz Waldmann, Wolfgang Schröder, Andreas Lintermann:
Machine-Learning-Based Control of Perturbed and Heated Channel Flows. ISC Workshops 2021: 7-22 - 2020
- [c3]Mario Rüttgers, Seong-Ryong Koh, Jenia Jitsev, Wolfgang Schröder, Andreas Lintermann:
Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning. ISC Workshops 2020: 81-101
2010 – 2019
- 2019
- [j2]Andreas Lintermann, Dirk Pleiter, Wolfgang Schröder:
Performance of ODROID-MC1 for scientific flow problems. Future Gener. Comput. Syst. 95: 149-162 (2019) - 2018
- [c2]Jens Henrik Göbbert, Tim Kreuzer, Alice Grosch, Andreas Lintermann, Morris Riedel:
Enabling Interactive Supercomputing at JSC Lessons Learned. ISC Workshops 2018: 669-677 - 2017
- [e1]Edoardo Di Napoli, Marc-André Hermanns, Hristo Iliev, Andreas Lintermann, Alexander Peyser:
High-Performance Scientific Computing - First JARA-HPC Symposium, JHPCS 2016, Aachen, Germany, October 4-5, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10164, Springer 2017, ISBN 978-3-319-53861-7 [contents] - 2016
- [c1]Michael Schlottke-Lakemper, Hans Yu, Sven Berger, Andreas Lintermann, Matthias Meinke, Wolfgang Schröder:
The Direct-Hybrid Method for Computational Aeroacoustics on HPC Systems. JHPCS 2016: 70-81 - 2013
- [j1]Andreas Lintermann, Matthias Meinke, Wolfgang Schröder:
Fluid mechanics based classification of the respiratory efficiency of several nasal cavities. Comput. Biol. Medicine 43(11): 1833-1852 (2013)
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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