Felix M. Riese
Felix M. Riese
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
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
Deep learning for land cover change detection
O Sefrin, FM Riese, S Keller
Remote Sensing 13 (1), 78, 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
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
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
Supervised, semi-supervised, and unsupervised learning for hyperspectral regression
FM Riese, S Keller
Hyperspectral Image Analysis: Advances in Machine Learning and Signal …, 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
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 22 (2), 359-367, 2022
Hyperspectral benchmark dataset on soil moisture
FM Riese, S Keller, 2018
Susi: Supervised self-organizing maps for regression and classification in python
FM Riese, S Keller
arXiv preprint arXiv:1903.11114, 2019
SuSi: Supervised Self-organizing Maps in Python
FM Riese, S Keller, 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
Examples for CNN training and classification on Sentinel-2 data
J Leitloff, FM Riese, 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, ...
Code for Deep Learning for Land Cover Change Detection
O Sefrin, FM Riese, S Keller, 2020
Development and Applications of Machine Learning Methods for Hyperspectral Data
FM Riese, 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
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
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
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