Markus Götz
Markus Götz
Group leader, Karlsruhe Institute of Technology (KIT), Helmholtz AI
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
HPDBSCAN: highly parallel DBSCAN
M Götz, C Bodenstein, M Riedel
Proceedings of the workshop on machine learning in high-performance …, 2015
Machine Learning-Aided Numerical Linear Algebra: Convolutional Neural Networks for the Efficient Preconditioner Generation
M Götz, H Anzt
2018 IEEE/ACM 9th Workshop on Latest Advances in Scalable Algorithms for …, 2018
Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions
M Weiel, M Götz, A Klein, D Coquelin, R Floca, A Schug
Nature Machine Intelligence 3 (8), 727-734, 2021
The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks
J Lange, G Cavallaro, M Götz, E Erlingsson, M Riedel
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
Parallel computation of component trees on distributed memory machines
M Götz, G Cavallaro, T Géraud, M Book, M Riedel
IEEE transactions on parallel and distributed systems 29 (11), 2582-2598, 2018
Smart data analytics methods for remote sensing applications
G Cavallaro, M Riedel, JA Benediktsson, M Goetz, T Runarsson, ...
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International …, 2014
On scalable data mining techniques for earth science
M Götz, M Richerzhagen, C Bodenstein, G Cavallaro, P Glock, M Riedel, ...
Procedia computer science 51, 2188-2197, 2015
HeAT--a Distributed and GPU-accelerated Tensor Framework for Data Analytics
M Götz, D Coquelin, C Debus, K Krajsek, C Comito, P Knechtges, ...
arXiv preprint arXiv:2007.13552, 2020
Deep learning approaches to building rooftop thermal bridge detection from aerial images
Z Mayer, J Kahn, Y Hou, M Götz, R Volk, F Schultmann
Automation in Construction 146, 104690, 2023
Learning Tree Structures from Leaves For Particle Decay Reconstruction
J Kahn, I Tsaklidis, O Taubert, L Reuter, G Dujany, T Böckh, A Thaller, ...
Machine Learning: Science and Technology, 2022
Scalable developments for big data analytics in remote sensing
G Cavallaro, M Riedel, C Bodenstein, P Glock, M Richerzhagen, M Götz, ...
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads
R Caspart, S Ziegler, A Weyrauch, H Obermaier, S Raffeiner, ...
International Conference on High Performance Computing, 108-121, 2022
Process Insights into Perovskite Thin‐Film Photovoltaics from Machine Learning with In Situ Luminescence Data
F Laufer, S Ziegler, F Schackmar, EA Moreno Viteri, M Götz, C Debus, ...
Solar RRL 7 (7), 2201114, 2023
Machine learning-aided numerical linear algebra: Convolutional neural networks for the efficient preconditioner generation. In 2018 IEEE/ACM 9th Workshop on Latest Advances in …
M Götz, H Anzt
IEEE, 2018
Accelerating neural network training with distributed asynchronous and selective optimization (DASO)
D Coquelin, C Debus, M Götz, F von der Lehr, J Kahn, M Siggel, A Streit
Journal of Big Data 9 (1), 1-18, 2022
HyDe: The first open-source, Python-based, GPU-accelerated hyperspectral denoising package
D Coquelin, B Rasti, M Götz, P Ghamisi, R Gloaguen, A Streit
2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2022
Evolutionary Optimization of Neural Architectures in Remote Sensing Classification Problems
D Coquelin, R Sedona, M Riedel, M Götz
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1587 …, 2021
The Helmholtz analytics toolkit (heat): a scientific big data library for hpc
K Krajsek, C Comito, M Götz, B Hagemeier, P Knechtges, M Siggel
Extreme data workshop, 2018
Automatic object detection using dbscan for counting intoxicated flies in the florida assay
C Bodenstein, M Götz, A Jansen, H Scholz, M Riedel
2016 15th IEEE International Conference on Machine Learning and Applications …, 2016
Supporting Software Engineering Practices in the Development of Data-Intensive HPC Applications with the JuML Framework
M Götz, M Book, C Bodenstein, M Riedel
Proceedings of the 1st International Workshop on Software Engineering for …, 2017
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