Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission Rates. - Benjamin Blankertz; Christin Schäfer; Guido Dornhege; Gabriel Curio (ICANN, 2002)

Oracle Bounds and Exact Algorithm for Dyadic Classification Trees. - Gilles Blanchard; Christin Schäfer; Yves Rozenholc (COLT, 2004)

Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines. - Pavel Laskov; Christin Schäfer; Igor V. Kotenko (DIMVA, 2004)

Annealed k-Means Clustering and Decision Trees. - Christin Schäfer; Julian Laub (GfKl, 2004)

Binary On-line Classification Based on Temporally Integrated Information. - Christin Schäfer; Steven Lemm; Gabriel Curio (GfKl, 2004)

Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector Machines. - Pavel Laskov; Christin Schäfer; Igor V. Kotenko; Klaus-Robert Müller (Prax. Inf.verarb. Kommun., 2004)

BCI competition 2003-data set III: probabilistic modeling of sensorimotor μ rhythms for classification of imaginary hand movements. - Steven Lemm; Christin Schäfer; Gabriel Curio (IEEE Trans. Biomed. Eng., 2004)

Learning Intrusion Detection: Supervised or Unsupervised?. - Pavel Laskov; Patrick Düssel; Christin Schäfer; Konrad Rieck (ICIAP, 2005)

A General and Efficient Multiple Kernel Learning Algorithm. - Sören Sonnenburg; Gunnar Rätsch; Christin Schäfer (NIPS, 2005)

Visualization of anomaly detection using prediction sensitivity. - Pavel Laskov; Konrad Rieck; Christin Schäfer; Klaus-Robert Müller (Sicherheit, 2005)

Aggregating Classification Accuracy across Time: Application to Single Trial EEG. - Steven Lemm; Christin Schäfer; Gabriel Curio (NIPS, 2006)

Learning Interpretable SVMs for Biological Sequence Classification. - Gunnar Rätsch; Sören Sonnenburg; Christin Schäfer (BMC Bioinform., 2006)

Large Scale Multiple Kernel Learning. - Sören Sonnenburg; Gunnar Rätsch; Christin Schäfer; Bernhard Schölkopf (J. Mach. Learn. Res., 2006)

Optimal dyadic decision trees. - Gilles Blanchard; Christin Schäfer; Yves Rozenholc; Klaus-Robert Müller (Mach. Learn., 2007)