Dr. Nicole Krämer
Dr. Nicole Krämer
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Cited by
Cited by
Overview and recent advances in partial least squares
R Rosipal, N Krämer
Subspace, Latent Structure and Feature Selection: Statistical and …, 2006
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
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
Regularized estimation of large-scale gene association networks using graphical Gaussian models
N Krämer, J Schäfer, AL Boulesteix
BMC bioinformatics 10, 1-24, 2009
Usefulness of Multiparental Populations of Maize (Zea mays L.) for Genome-Based Prediction
Genetics 198 (1), 3-16, 2014
The degrees of freedom of partial least squares regression
N Krämer, M Sugiyama
Journal of the American Statistical Association 106 (494), 697-705, 2011
The feature importance ranking measure
A Zien, N Krämer, S Sonnenburg, G Rätsch
arXiv preprint arXiv:0906.4258, 2009
Sparse causal discovery in multivariate time series
S Haufe, KR Müller, G Nolte, N Krämer
causality: objectives and assessment, 97-106, 2010
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
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
Partial least squares regression for graph mining
H Saigo, N Krämer, K Tsuda
Proceedings of the 14th ACM SIGKDD international conference on knowledge …, 2008
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
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
Optimal learning rates for kernel conjugate gradient regression
G Blanchard, N Krämer
Advances in neural information processing systems 23, 2010
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
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
ASAP: Automatic semantics-aware analysis of network payloads
T Krueger, N Krämer, K Rieck
Privacy and Security Issues in Data Mining and Machine Learning …, 2011
Association of ERBB mutations with clinical outcomes of afatinib-or erlotinib-treated patients with lung squamous cell carcinoma: secondary analysis of the LUX-Lung 8 …
GD Goss, E Felip, M Cobo, S Lu, K Syrigos, KH Lee, E Göker, ...
JAMA oncology 4 (9), 1189-1197, 2018
Subspace, latent structure and feature selection techniques
R Rosipal, N Kramer
Lect Notes Comput Sci Chap Overview and Recent Advances in Partial Least …, 2006
Enhancing genome-enabled prediction by bagging genomic BLUP
D Gianola, KA Weigel, N Krämer, A Stella, CC Schön
PLoS One 9 (4), e91693, 2014
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