Dr. Nicole Krämer
Dr. Nicole Krämer
Staburo GmbH
Verified email at staburo.de
Title
Cited by
Cited by
Year
Overview and recent advances in partial least squares
R Rosipal, N Krämer
International Statistical and Optimization Perspectives Workshop" Subspace …, 2005
11072005
Robustly estimating the flow direction of information in complex physical systems
G Nolte, A Ziehe, VV Nikulin, A Schlögl, N Krämer, T Brismar, KR Müller
Physical review letters 100 (23), 234101, 2008
4142008
Time domain parameters as a feature for EEG-based brain–computer interfaces
C Vidaurre, N Krämer, B Blankertz, A Schlögl
Neural Networks 22 (9), 1313-1319, 2009
2582009
Regularized estimation of large-scale gene association networks using graphical Gaussian models
N Krämer, J Schäfer, AL Boulesteix
BMC bioinformatics 10 (1), 384, 2009
1942009
Partial least squares regression for graph mining
H Saigo, N Krämer, K Tsuda
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
1012008
The degrees of freedom of partial least squares regression
N Krämer, M Sugiyama
Journal of the American Statistical Association 106 (494), 697-705, 2011
862011
Sparse causal discovery in multivariate time series
S Haufe, KR Müller, G Nolte, N Krämer
Causality: Objectives and Assessment, 97-106, 2010
832010
Penalized Partial Least Squares with applications to B-spline transformations and functional data
N Krämer, AL Boulesteix, G Tutz
Chemometrics and Intelligent Laboratory Systems 94 (1), 60-69, 2008
822008
Usefulness of Multiparental Populations of Maize (Zea mays L.) for Genome-Based Prediction
Genetics 198 (1), 3-16, 2014
732014
Total loss estimation using copula-based regression models
N Krämer, EC Brechmann, D Silvestrini, C Czado
Insurance: Mathematics and Economics 53 (3), 829-839, 2013
612013
Optimal learning rates for kernel conjugate gradient regression
G Blanchard, N Krämer
Advances in Neural Information Processing Systems, 226-234, 2010
602010
Comparison of granger causality and phase slope index
G Nolte, A Ziehe, N Krämer, F Popescu, KR Müller
Causality: Objectives and Assessment, 267-276, 2010
542010
Learning stateful models for network honeypots
T Krueger, H Gascon, N Krämer, K Rieck
Proceedings of the 5th ACM workshop on Security and artificial intelligence …, 2012
522012
The feature importance ranking measure
A Zien, N Krämer, S Sonnenburg, G Rätsch
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009
472009
Addressing the identification problem in age-period-cohort analysis: a tutorial on the use of partial least squares and principal components analysis
YK Tu, N Krämer, WC Leec
Epidemiology, 583-593, 2012
462012
Kernelizing PLS, degrees of freedom, and efficient model selection
N Krämer, ML Braun
Proceedings of the 24th international conference on Machine learning, 441-448, 2007
412007
ASAP: Automatic semantics-aware analysis of network payloads
T Krueger, N Krämer, K Rieck
International Workshop on Privacy and Security Issues in Data Mining and …, 2010
402010
Biomarkers predict enhanced clinical outcomes with afatinib versus methotrexate in patients with second-line recurrent and/or metastatic head and neck cancer
EEW Cohen, LF Licitra, B Burtness, J Fayette, T Gauler, PM Clement, ...
Annals of Oncology 28 (10), 2526-2532, 2017
392017
An overview on the shrinkage properties of partial least squares regression
N Krämer
Computational Statistics 22 (2), 249-273, 2007
382007
Subspace, latent structure and feature selection techniques
R Rosipal, N Kramer
Lecture Notes in Computer Science. Springer, 34-51, 2006
382006
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Articles 1–20