Dr. Nicole Krämer

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Guido NolteDept. of Neurophysiology and Pathophysiology, UKE, HamburgDirección de correo verificada de uke.de
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyDirección de correo verificada de tu-berlin.de
Roman RosipalSenior Researcher at Slovak Academy of Sciences & CTO at Pacific Development and Technology, LLCDirección de correo verificada de savba.sk
Andreas ZiehePostdoc researcher, TU BerlinDirección de correo verificada de cs.tu-berlin.de
Gilles BlanchardProfessor of Statistics, University of Paris-SaclayDirección de correo verificada de universite-paris-saclay.fr
Vadim V NikulinPrincipal Investigator, Max Planck Institute for Human Cognitive and Brain SciencesDirección de correo verificada de cbs.mpg.de
Tammo KruegerTU BerlinDirección de correo verificada de tu-berlin.de
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoDirección de correo verificada de k.u-tokyo.ac.jp
Mikio L. BraunTU Berlin (allumni)Dirección de correo verificada de zalando.de
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupDirección de correo verificada de tu-berlin.de
Carmen VidaurreIkerbasque Research Associate Prof., BCBL & BIFOLD TU-BerlinDirección de correo verificada de bcbl.eu
Konrad RieckTechnische Universität BerlinDirección de correo verificada de tu-berlin.de
Gunnar RätschProfessor, ETH ZürichDirección de correo verificada de inf.ethz.ch
Soeren SonnenburgMachine Learning ResearcherDirección de correo verificada de tomtom.com
Christina LehermeierCorn Product Design | Bayer Crop ScienceDirección de correo verificada de tum.de
Koji TsudaProfessor, GSFS, The University of TokyoDirección de correo verificada de k.u-tokyo.ac.jp
Hiroto SaigoKyushu UniversityDirección de correo verificada de inf.kyushu-u.ac.jp
Hugo GascónWIITDirección de correo verificada de wiit.cloud
Gerhard TutzDirección de correo verificada de stat.uni-muenchen.de

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Dr. Nicole Krämer

Boehringer Ingelheim

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statistics machine learning translational medicine biomarkers


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Overview and recent advances in partial least squares R Rosipal, N Krämer International Statistical and Optimization Perspectives Workshop" Subspace …, 2005	1493	2005
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	663	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	386	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	289	2009
The feature importance ranking measure A Zien, N Krämer, S Sonnenburg, G Rätsch Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009	222	2009
Usefulness of Multiparental Populations of Maize (Zea mays L.) for Genome-Based Prediction Genetics 198 (1), 3-16, 2014	148	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	141	2011
Sparse causal discovery in multivariate time series S Haufe, KR Müller, G Nolte, N Krämer causality: objectives and assessment, 97-106, 2010	124	2010
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	118	2013
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	114	2008
Partial least squares regression for graph mining H Saigo, N Krämer, K Tsuda Proceedings of the 14th ACM SIGKDD international conference on knowledge …, 2008	110	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	100	2012
Optimal learning rates for kernel conjugate gradient regression G Blanchard, N Krämer Advances in neural information processing systems 23, 2010	92	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	88	2017
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	86	2010
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 Lee Epidemiology 23 (4), 583-593, 2012	67	2012
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	62	2010
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	59	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	57	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	55	2014

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