| Hyperspectral data and machine learning for estimating CDOM, chlorophyll a, diatoms, green algae and turbidity S Keller, PM Maier, FM Riese, S Norra, A Holbach, N Börsig, A Wilhelms, ... International journal of environmental research and public health 15 (9), 1881, 2018 | 14 | 2018 |
| Introducing a Framework of Self-Organizing Maps for Regression of Soil Moisture with Hyperspectral Data FM Riese, S Keller IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing …, 2018 | 7 | 2018 |
| Developing a Machine Learning Framework for Estimating Soil Moisture with VNIR hyperspectral data S Keller, FM Riese, J Stötzer, PM Maier, S Hinz ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information …, 2018 | 6 | 2018 |
| Modeling Subsurface Soil Moisture Based on Hyperspectral Data: First Results of a Multilateral Field Campaign S Keller, FM Riese, N Allroggen, C Jackisch, S Hinz Tagungsband der 37. Wissenschaftlich-Technische Jahrestagung der DGPF e.V …, 2018 | 4 | 2018 |
| Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data FM Riese, S Keller ISPRS Ann. Photogramm. Remote Sens. Spat., 615-621, 2019 | 1 | 2019 |
| Fusion of Hyper Spectral and Ground Penetrating Radar Data to Estimate Soil Moisture FM Riese, S Keller 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2018 | 1* | 2018 |
| Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data FM Riese, S Keller, S Hinz Remote Sensing 12 (1), 7, 2020 | | 2020 |
| SUSI: Supervised Self-Organizing Maps for Regression and Classification in Python FM Riese, S Keller arXiv preprint arXiv:1903.11114, 2019 | | 2019 |
| Solutions and planning tools for water supply and wastewater management in prosperous regions tackling water scarcity CD León, H Kosow, Y Zahumensky, M Krauß, S Wasielewski, R Minke, ... Mid-Term Conference–Frankfurt am Main, Germany 20-21 February 2019, 28, 2019 | | 2019 |
| Soil Texture Processing O Sefrin, FM Riese, S Keller | | 2019 |
| SUSI: SUpervised Self-organIzing maps in Python FM Riese, S Keller https://doi.org/10.5281/zenodo.2609130, 2018 | | 2018 |
| Hyperspectral benchmark dataset on soil moisture FM Riese, S Keller https://doi.org/10.5281/zenodo.1227837, 2018 | | 2018 |
| Boosted-jet reconstruction methods in a search for Higgs-boson production in association with a top-quark-antiquark pair at the CMS experiment F Riese | | 2017 |
| Spin correlated variables in the search for the Higgs boson in associated production with a top-quark-antiquark pair in the CMS experiment M Wassmer, K El Morabit, MA Harrendorf, U Husemann, H Mildner, ... Verhandlungen der Deutschen Physikalischen Gesellschaft, 2017 | | 2017 |
| Boosted category in the seach for the Higgs boson in associated production with a top-quark-antiquark pair in the CMS experiment F Riese, K El Morabit, MA Harrendorf, U Husemann, H Mildner, A Saibel, ... Verhandlungen der Deutschen Physikalischen Gesellschaft, 2017 | | 2017 |
| Studies on the modeling of the t anti t+ jets background of the t anti tH (b anti b) process in CMS K El Morabit, MA Harrendorf, U Husemann, H Mildner, F Riese, A Saibel, ... Verhandlungen der Deutschen Physikalischen Gesellschaft, 2017 | | 2017 |
| Testsoftware und Datenbanken für das CMS-Pixeldetektor-Upgrade F Riese Karlsruher Institut für Technologie (KIT), 2014 | | 2014 |
Philipp MaierKarlsruhe Institute of TechnologyVerified email at kit.edu
