| Overview and recent advances in partial least squares R Rosipal, N Krämer International Statistical and Optimization Perspectives Workshop" Subspace …, 2005 | 1488 | 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 | 665 | 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 | 389 | 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 | 292 | 2009 |
| The feature importance ranking measure A Zien, N Krämer, S Sonnenburg, G Rätsch Joint European conference on machine learning and knowledge discovery in …, 2009 | 230 | 2009 |
| Usefulness of Multiparental Populations of Maize (Zea mays L.) for Genome-Based Prediction Genetics 198 (1), 3-16, 2014 | 147 | 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 | 142 | 2011 |
| Sparse causal discovery in multivariate time series S Haufe, KR Müller, G Nolte, N Krämer causality: objectives and assessment, 97-106, 2010 | 120 | 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 | 119 | 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 | 117 | 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 | 111 | 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 | 103 | 2012 |
| Optimal learning rates for kernel conjugate gradient regression G Blanchard, N Krämer Advances in neural information processing systems 23, 2010 | 90 | 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 | 89 | 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 | 84 | 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 | 63 | 2010 |
| Subspace, latent structure and feature selection techniques R Rosipal, N Kramer Lect Notes Comput Sci Chap Overview and Recent Advances in Partial Least …, 2006 | 58 | 2006 |
| 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 | 57 | 2018 |
| Enhancing genome-enabled prediction by bagging genomic BLUP D Gianola, KA Weigel, N Krämer, A Stella, CC Schön PLoS One 9 (4), e91693, 2014 | 56 | 2014 |
Roman RosipalSenior Researcher at Slovak Academy of Sciences & CTO at Pacific Development and Technology, LLCEmail được xác minh tại savba.sk
Guido NolteDept. of Neurophysiology and Pathophysiology, UKE, HamburgEmail được xác minh tại uke.deKlaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyEmail được xác minh tại tu-berlin.de
Gilles BlanchardProfessor of Statistics, University of Paris-SaclayEmail được xác minh tại universite-paris-saclay.fr
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoEmail được xác minh tại k.u-tokyo.ac.jp
Tammo KruegerTU BerlinEmail được xác minh tại tu-berlin.de
Vadim V NikulinPrincipal Investigator, Max Planck Institute for Human Cognitive and Brain SciencesEmail được xác minh tại cbs.mpg.de
Mikio L. BraunTU Berlin (allumni)Email được xác minh tại zalando.de
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupEmail được xác minh tại tu-berlin.de
Konrad RieckTechnische Universität BerlinEmail được xác minh tại tu-berlin.de
Gunnar RätschProfessor, ETH ZürichEmail được xác minh tại inf.ethz.ch
Soeren SonnenburgMachine Learning ResearcherEmail được xác minh tại tomtom.com
Christina LehermeierCorn Product Design | Bayer Crop ScienceEmail được xác minh tại tum.de
Koji TsudaProfessor, GSFS, The University of TokyoEmail được xác minh tại k.u-tokyo.ac.jp
Hiroto SaigoKyushu UniversityEmail được xác minh tại inf.kyushu-u.ac.jp
Hugo GascónWIITEmail được xác minh tại wiit.cloud