Florian Steinke
Florian Steinke
Professor, Energy Information Networks & Systems, TU Darmstadt
eins.tu-darmstadt.de의 이메일 확인됨 - 홈페이지
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MRI-based attenuation correction for PET/MRI: a novel approach combining pattern recognition and atlas registration
M Hofmann, F Steinke, V Scheel, G Charpiat, J Farquhar, P Aschoff, ...
Journal of nuclear medicine 49 (11), 1875-1883, 2008
5122008
Bayesian inference and optimal design in the sparse linear model
M Seeger, F Steinke, K Tsuda
Artificial Intelligence and Statistics, 444-451, 2007
3512007
Grid vs. storage in a 100% renewable Europe
F Steinke, P Wolfrum, C Hoffmann
Renewable Energy 50, 826-832, 2013
3192013
MRI-based attenuation correction for whole-body PET/MRI: quantitative evaluation of segmentation-and atlas-based methods
M Hofmann, I Bezrukov, F Mantlik, P Aschoff, F Steinke, T Beyer, ...
Journal of Nuclear Medicine 52 (9), 1392-1399, 2011
2802011
Transmission grid extensions for the integration of variable renewable energies in Europe: Who benefits where?
K Schaber, F Steinke, T Hamacher
Energy Policy 43, 123-135, 2012
2752012
Parametric study of variable renewable energy integration in Europe: Advantages and costs of transmission grid extensions
K Schaber, F Steinke, P Mühlich, T Hamacher
Energy policy 42, 498-508, 2012
1652012
Semi-supervised regression using Hessian energy with an application to semi-supervised dimensionality reduction
KI Kim, F Steinke, M Hein
MPI for Biological Cybernetics, 2010
1022010
Support vector machines for 3D shape processing
F Steinke, B Schölkopf, V Blanz
Computer Graphics Forum 24 (3), 285-294, 2005
1012005
Learning similarity measure for multi-modal 3D image registration
D Lee, M Hofmann, F Steinke, Y Altun, ND Cahill, B Scholkopf
2009 IEEE Conference on Computer Vision and Pattern Recognition, 186-193, 2009
812009
Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models
F Steinke, M Seeger, K Tsuda
BMC systems biology 1 (1), 1-15, 2007
632007
Managing temporary oversupply from renewables efficiently: Electricity storage versus energy sector coupling in germany
K Schaber, F Steinke, T Hamacher
International Energy Workshop, Paris, 2013
492013
Kernels, regularization and differential equations
F Steinke, B Schölkopf
Pattern Recognition 41 (11), 3271-3286, 2008
472008
Non-parametric regression between manifolds
F Steinke, M Hein
Advances in Neural Information Processing Systems, 1561-1568, 2009
462009
Nonparametric regression between general Riemannian manifolds
F Steinke, M Hein, B Schölkopf
SIAM Journal on Imaging Sciences 3 (3), 527-563, 2010
422010
Object correspondence as a machine learning problem
B Schölkopf, F Steinke, V Blanz
Proceedings of the 22nd international conference on Machine learning, 776-783, 2005
382005
The energy system development plan (ESDP)
S Raths, S Koopmann, C Müller, A Meinerzhagen, T Falke, M Cramer, ...
International ETG Congress 2015; Die Energiewende-Blueprints for the new …, 2015
242015
Learning dense 3d correspondence
F Steinke, V Blanz, B Schölkopf
Advances in Neural Information Processing Systems, 1313-1320, 2007
222007
Semantic traffic-aware routing using the larkc platform
E Della Valle, I Celino, D Dell'Aglio, R Grothmann, F Steinke, V Tresp
IEEE Internet Computing 15 (6), 15-23, 2011
202011
A novel metric for information retrieval in semantic networks
JL Moore, F Steinke, V Tresp
Extended Semantic Web Conference, 65-79, 2011
202011
Method, system, and computer program for information retrieval in semantic networks
JL Moore, F Steinke, V Tresp
US Patent 8,566,273, 2013
182013
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