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Department of Mathematics, Technische Universität München
List of publications from the DBLP Bibliography Server - FAQ
| 2011 | ||
|---|---|---|
| 13 | Kathrin Maria Gerling, Alberto Fuchslocher, Ralf Schmidt, Nicole Krämer, Maic Masuch: Designing and Evaluating Casual Health Games for Children and Teenagers with Cancer. ICEC 2011: 198-209 | |
| 2010 | ||
| 12 | Gilles Blanchard, Nicole Krämer: Optimal learning rates for Kernel Conjugate Gradient regression. NIPS 2010: 226-234 | |
| 11 | Tammo Krueger, Nicole Krämer, Konrad Rieck: ASAP: Automatic Semantics-Aware Analysis of Network Payloads. PSDML 2010: 50-63 | |
| 10 | Guido Nolte, Andreas Ziehe, Nicole Krämer, Florin Popescu, Klaus-Robert Müller: Comparison of Granger Causality and Phase Slope Index. Journal of Machine Learning Research - Proceedings Track 6: 267-276 (2010) | |
| 9 | Stefan Haufe, Klaus-Robert Müller, Guido Nolte, Nicole Krämer: Sparse Causal Discovery in Multivariate Time Series. Journal of Machine Learning Research - Proceedings Track 6: 97-106 (2010) | |
| 8 | Gilles Blanchard, Nicole Krämer: Kernel Partial Least Squares is Universally Consistent. Journal of Machine Learning Research - Proceedings Track 9: 57-64 (2010) | |
| 2009 | ||
| 7 | Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch: The Feature Importance Ranking Measure. ECML/PKDD (2) 2009: 694-709 | |
| 6 | Nicole Krämer, Juliane Schäfer, Anne-Laure Boulesteix: Regularized estimation of large-scale gene association networks using graphical Gaussian models. BMC Bioinformatics 10: 384 (2009) | |
| 5 | Nicole Krämer, Masashi Sugiyama, Mikio L. Braun: Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression. Journal of Machine Learning Research - Proceedings Track 5: 288-295 (2009) | |
| 4 | Carmen Vidaurre, Nicole Krämer, Benjamin Blankertz, Alois Schlögl: Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces. Neural Networks 22(9): 1313-1319 (2009) | |
| 2008 | ||
| 3 | Hiroto Saigo, Nicole Krämer, Koji Tsuda: Partial least squares regression for graph mining. KDD 2008: 578-586 | |
| 2007 | ||
| 2 | Nicole Krämer, Mikio L. Braun: Kernelizing PLS, degrees of freedom, and efficient model selection. ICML 2007: 441-448 | |
| 2005 | ||
| 1 | Roman Rosipal, Nicole Krämer: Overview and Recent Advances in Partial Least Squares. SLSFS 2005: 34-51 | |
| 1 | Gilles Blanchard | [8] [12] |
| 2 | Benjamin Blankertz | [4] |
| 3 | Anne-Laure Boulesteix | [6] |
| 4 | Mikio L. Braun | [2] [5] |
| 5 | Alberto Fuchslocher | [13] |
| 6 | Kathrin Maria Gerling | [13] |
| 7 | Stefan Haufe | [9] |
| 8 | Tammo Krueger | [11] |
| 9 | Maic Masuch | [13] |
| 10 | Klaus-Robert Müller | [9] [10] |
| 11 | Guido Nolte | [9] [10] |
| 12 | Florin Popescu | [10] |
| 13 | Gunnar Rätsch | [7] |
| 14 | Konrad Rieck | [11] |
| 15 | Roman Rosipal | [1] |
| 16 | Hiroto Saigo | [3] |
| 17 | Juliane Schäfer | [6] |
| 18 | Alois Schlögl | [4] |
| 19 | Ralf Schmidt | [13] |
| 20 | Sören Sonnenburg | [7] |
| 21 | Masashi Sugiyama | [5] |
| 22 | Koji Tsuda | [3] |
| 23 | Carmen Vidaurre | [4] |
| 24 | Andreas Ziehe | [10] |
| 25 | Alexander Zien | [7] |
Colors in the list of coauthors
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