Nicole Krämer

14 papers A* 2A 2Journal 3Unranked 7
YearRankTypeTitle / Venue / Authors
2012 — conf
Learning stateful models for network honeypots.
AISec
Tammo Krueger, Hugo Gascon, Nicole Krämer, Konrad Rieck
2010 — conf
ASAP: Automatic Semantics-Aware Analysis of Network Payloads.
PSDML
Tammo Krueger, Nicole Krämer, Konrad Rieck
2010 — conf
Comparison of Granger Causality and Phase Slope Index.
NIPS Causality: Objectives and Assessment
Guido Nolte, Andreas Ziehe, Nicole Krämer, Florin Popescu, Klaus-Robert Müller
2010 A conf
Kernel Partial Least Squares is Universally Consistent.
AISTATS
Gilles Blanchard, Nicole Krämer
2010 — conf
Optimal learning rates for Kernel Conjugate Gradient regression.
NIPS
Gilles Blanchard, Nicole Krämer
2010 — conf
Sparse Causal Discovery in Multivariate Time Series.
NIPS Causality: Objectives and Assessment
Stefan Haufe, Klaus-Robert Müller, Guido Nolte, Nicole Krämer
2009 A conf
Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression.
AISTATS
Nicole Krämer, Masashi Sugiyama, Mikio L. Braun
2009 J jnl
Regularized estimation of large-scale gene association networks using graphical Gaussian models.
BMC Bioinform.
Nicole Krämer, Juliane Schäfer, Anne-Laure Boulesteix
2009 — conf
The Feature Importance Ranking Measure.
ECML/PKDD (2)
Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch
2009 J jnl
Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces.
Neural Networks
Carmen Vidaurre, Nicole Krämer, Benjamin Blankertz, Alois Schlögl
2008 A* conf
Partial least squares regression for graph mining.
KDD
Hiroto Saigo, Nicole Krämer, Koji Tsuda
2007 J jnl
An overview on the shrinkage properties of partial least squares regression.
Comput. Stat.
Nicole Krämer
2007 A* conf
Kernelizing PLS, degrees of freedom, and efficient model selection.
ICML
Nicole Krämer, Mikio L. Braun
2005 — conf
Overview and Recent Advances in Partial Least Squares.
SLSFS
Roman Rosipal, Nicole Krämer