Markus Götz

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Prof. Dr.-Ing. Morris RiedelProfessor of High Performance Computing & Machine Learning, Forschungszentrum Juelich & UoIcelandAdresse e-mail validée de fz-juelich.de
Gabriele CavallaroForschungszentrum Jülich and University of IcelandAdresse e-mail validée de fz-juelich.de
Daniel CoquelinKarlsruhe Institute of TechnologyAdresse e-mail validée de kit.edu
Jón Atli BenediktssonRector/President - Professor of Electrical and Computer Engineering, University of IcelandAdresse e-mail validée de hi.is
Charlotte DebusResearch Scientist, Karlsruhe Institute of Technology (KIT)Adresse e-mail validée de kit.edu
Matthias BookUniversity of IcelandAdresse e-mail validée de hi.is
Kai KrajsekJülich Supercomputing Centre (JSC) Forschungszentrum Jülich GmbHAdresse e-mail validée de fz-juelich.de
Alexander SchugNIC Group Leader FZ Jülich, Prof. University of Duisburg-EssenAdresse e-mail validée de fz-juelich.de
Kristján JónassonProfessor, Faculty of Industrial Engineering, Mechanical Engineering & Computer ScienceAdresse e-mail validée de hi.is
Thomas LippertProfessor for Computer Science, University Frankfurt and FIAS, Director Jülich Supercomputing CentreAdresse e-mail validée de fz-juelich.de
Hartwig AnztKarlsruhe Institute of TechnologyAdresse e-mail validée de kit.edu
Marie WeielPostdoctoral Researcher, Karlsruhe Institute of TechnologyAdresse e-mail validée de kit.edu
James KahnKarlsruhe Institute of TechnologyAdresse e-mail validée de kit.edu
Thierry GéraudProfessor at EPITAAdresse e-mail validée de lrde.epita.fr
Ralf FlocaMedical Image Computing, German Cancer Research Center (DKFZ)Adresse e-mail validée de dkfz-heidelberg.de
Fabian IsenseeHIP Applied Computer Vision Lab, Division of Medical Image Computing, German Cancer Research CenterAdresse e-mail validée de dkfz-heidelberg.de
Henrike ScholzUniversity Köln, University Würzburg, University of San FranciscoAdresse e-mail validée de uni-koeln.de
Achim BasermannAdresse e-mail validée de dlr.de
Helmut NeukirchenProfessor of Computer Science and Software Engineering, University of IcelandAdresse e-mail validée de hi.is
Marco NoldenGerman Cancer Research Center (DKFZ)Adresse e-mail validée de dkfz-heidelberg.de

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Markus Götz

Karlsruhe Institute of Technology (KIT), Helmholtz AI

Adresse e-mail validée de kit.edu

Artificial Intelligence Machine Learning AI Engineering High Performance Computing Scalable AI


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
HPDBSCAN: highly parallel DBSCAN M Götz, C Bodenstein, M Riedel Proceedings of the workshop on machine learning in high-performance …, 2015	60	2015
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	21	2018
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	20	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	19	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	18	2015
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	16	2021
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	16	2018
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	8	2015
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	6	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	6	2016
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	5	2020
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	5	2017
Scalable and parallel machine learning algorithms for statistical data mining-Practice & experience M Riedel, M Götz, M Richerzhagen, P Glock, C Bodenstein, AS Memon, ... 2015 38th International Convention on Information and Communication …, 2015	5	2015
Facilitating collaboration in high-performance computing projects with an interaction room M Book, M Riedel, H Neukirchen, M Götz Proceedings of the 4th ACM SIGPLAN International Workshop on Software …, 2017	4	2017
On parallel and scalable classification and clustering techniques for earth science datasets M Goetz, M Richerzhagen, G Cavallaro, C Bodenstein, P Glock, M Riedel, ... 6th Workshop on Data Mining in Earth System Science, International …, 2015	4	2015
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	3	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	3	2021
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	2	2022
A computational workflow for interdisciplinary deep learning projects utilizing bwHPC infrastructure MP Schilling, O Neumann, T Scherr, H Cui, AA Popova, PA Levkin, ... Proceedings of the 7th bwHPC Symposium 7, 69-74, 2022	2	2022
Automatic water mixing event identification in the Koljö Fjord observatory data M Götz, M Kononets, C Bodenstein, M Riedel, M Book, OP Palsson International Journal of Data Science and Analytics 7 (1), 67-79, 2019	2	2019

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