| 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, 2019 | 64 | 2019 |
| 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 | 59 | 2018 |
| Deep learning for land cover change detection O Sefrin, FM Riese, S Keller Remote Sensing 13 (1), 78, 2020 | 51 | 2020 |
| 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 | 42 | 2019 |
| 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 | 24 | 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 | 17* | 2018 |
| Supervised, semi-supervised, and unsupervised learning for hyperspectral regression FM Riese, S Keller Hyperspectral Image Analysis: Advances in Machine Learning and Signal …, 2020 | 13 | 2020 |
| 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 | 9 | 2018 |
| Transparent exploration of machine learning for biomarker discovery from proteomics and omics data FM Torun, S Virreira Winter, S Doll, FM Riese, A Vorobyev, ... Journal of Proteome Research, 2021 | 8 | 2021 |
| Hyperspectral benchmark dataset on soil moisture FM Riese, S Keller https://doi.org/10.5281/zenodo.1227837, 2018 | 8 | 2018 |
| SuSi: Supervised Self-organizing Maps in Python FM Riese, S Keller https://doi.org/10.5281/zenodo.2609130, 2019 | 7 | 2019 |
| 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 | 6 | 2018 |
| Susi: Supervised self-organizing maps for regression and classification in python FM Riese, S Keller arXiv preprint arXiv:1903.11114, 2019 | 5 | 2019 |
| Examples for CNN training and classification on Sentinel-2 data J Leitloff, FM Riese https://doi.org/10.5281/zenodo.3268451, 2018 | 5 | 2018 |
| Integrated water management solutions in the Lurín Catchment, Lima, Peru: supporting United Nations' Sustainable Development Goal 6: final report of the joint project TRUST J Bondy, F Brauer, J Cardona, J Chamorro, T Fischer, L Hahne, S Hinz, ... | 3 | 2021 |
| Code for Deep Learning for Land Cover Change Detection O Sefrin, FM Riese, S Keller https://doi.org/10.5281/zenodo.4289079, 2020 | 2 | 2020 |
| Development and Applications of Machine Learning Methods for Hyperspectral Data FM Riese https://doi.org/10.5445/IR/1000120067, 2020 | 2 | 2020 |
| 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 | 2 | 2019 |
| 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 | 1 | 2017 |
| Using patient-reported quality of life outcomes to assess the validity of smartphone-based remote assessment of motor and cognitive performance in manifest Huntington’s disease … F Riese, J Rennig, F Lipsmeier, A Bamdadian, S Schobel, C Gossens, ... MDS Virtual Congress 2021 36 (suppl 1), 2021 | | 2021 |
Sina KellerPostdoc, Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of TechnologyVerified email at kit.edu
