2007 |
10 | EE | Gilles Blanchard,
Christin Schäfer,
Yves Rozenholc,
Klaus-Robert Müller:
Optimal dyadic decision trees.
Machine Learning 66(2-3): 209-241 (2007) |
2006 |
9 | EE | Steven Lemm,
Christin Schäfer,
Gabriel Curio:
Aggregating Classification Accuracy across Time: Application to Single Trial EEG.
NIPS 2006: 825-832 |
8 | EE | Sören Sonnenburg,
Gunnar Rätsch,
Christin Schäfer,
Bernhard Schölkopf:
Large Scale Multiple Kernel Learning.
Journal of Machine Learning Research 7: 1531-1565 (2006) |
2005 |
7 | EE | Pavel Laskov,
Patrick Düssel,
Christin Schäfer,
Konrad Rieck:
Learning Intrusion Detection: Supervised or Unsupervised?.
ICIAP 2005: 50-57 |
6 | EE | Sören Sonnenburg,
Gunnar Rätsch,
Christin Schäfer:
A General and Efficient Multiple Kernel Learning Algorithm.
NIPS 2005 |
5 | EE | Sören Sonnenburg,
Gunnar Rätsch,
Christin Schäfer:
Learning Interpretable SVMs for Biological Sequence Classification.
RECOMB 2005: 389-407 |
4 | | Pavel Laskov,
Konrad Rieck,
Christin Schäfer,
Klaus-Robert Müller:
Visualization of anomaly detection using prediction sensitivity.
Sicherheit 2005: 197-208 |
2004 |
3 | EE | Gilles Blanchard,
Christin Schäfer,
Yves Rozenholc:
Oracle Bounds and Exact Algorithm for Dyadic Classification Trees.
COLT 2004: 378-392 |
2 | | Pavel Laskov,
Christin Schäfer,
Igor V. Kotenko:
Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines.
DIMVA 2004: 71-82 |
2002 |
1 | EE | Benjamin Blankertz,
Christin Schäfer,
Guido Dornhege,
Gabriel Curio:
Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission Rates.
ICANN 2002: 1137-1143 |