| HPDBSCAN: highly parallel DBSCAN M Götz, C Bodenstein, M Riedel Proceedings of the workshop on machine learning in high-performance …, 2015 | 38 | 2015 |
| 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 | 15 | 2015 |
| 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 | 15 | 2014 |
| 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 | 12 | 2018 |
| 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 | 10 | 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 | 7 | 2018 |
| 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 | 6 | 2015 |
| Scalable developments for big data analytics in remote sensing G Cavallaro, M Riedel, C Bodenstein, P Glock, M Richerzhagen, M Goetz, ... 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 5 | 2015 |
| 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 |
| 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 | 3 | 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 | 3 | 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 | 2 | 2017 |
| Smart Data Analytics Methods for Remote Sensing Applications M Riedel, G Cavallaro, JA Benediktsson, T Runarsson, K Jonasson, ... Proceedings of the IEEE 35th Canadian Symposium on Remote Sensing, 2014 | 2 | 2014 |
| Syncro-concurrent editing library for Google wave M Goderbauer, M Goetz, A Grosskopf, A Meyer, M Weske ICWE'10-10th International Conference on Web Engineering, 510-513, 2010 | 2 | 2010 |
| 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 | 1 | 2019 |
| Scalable Data Analysis in High Performance Computing M Götz University of Iceland, School of Engineering and Natural Sciences, Faculty …, 2017 | 1 | 2017 |
| Loss Scheduling for Class-Imbalanced Image Segmentation Problems O Taubert, M Götz, A Schug, A Streit 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | | 2020 |
| 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 | | 2020 |
| High-Performance Data Analysis with the Helmholtz Analytics Toolkit M Siggel, C Debus, A Rüttgers, K Krajsek, P Knechtges, M Götz, C Comito, ... | | 2019 |
| Near Surface Ozone Predictions Based on Multiple Artificial Neural Network Architectures. F Kleinert, B Gong, M Götz, MG Schultz Geophysical Research Abstracts 21, 2019 | | 2019 |
Prof. Dr.-Ing. Morris RiedelProfessor of High Performance Computing & Machine Learning, Forschungszentrum Juelich & UoIcelandVerified email at fz-juelich.de
