Christin Schäfer
Christin Schäfer
acs plus GmbH
Verified email at acs-plus.de - Homepage
Title
Cited by
Cited by
Year
Large scale multiple kernel learning
S Sonnenburg, G Rätsch, C Schäfer, B Schölkopf
Journal of Machine Learning Research 7 (Jul), 1531-1565, 2006
15932006
Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysis
B Blankertz, G Dornhege, C Schafer, R Krepki, J Kohlmorgen, KR Muller, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 11 (2 …, 2003
3032003
Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysis
B Blankertz, G Dornhege, C Schäfer, R Krepki, J Kohlmorgen, KR Müller, ...
Neural Systems and Rehabilitation Engineering, IEEE Transactions on 11 (2 …, 2003
3032003
Learning intrusion detection: supervised or unsupervised?
P Laskov, P Düssel, C Schäfer, K Rieck
International Conference on Image Analysis and Processing, 50-57, 2005
2652005
BCI competition 2003-data set III: probabilistic modeling of sensorimotor μ rhythms for classification of imaginary hand movements
S Lemm, C Schäfer, G Curio
Biomedical Engineering, IEEE Transactions on 51 (6), 1077-1080, 2004
2542004
A general and efficient multiple kernel learning algorithm
S Sonnenburg, G Rätsch, C Schäfer
Advances in neural information processing systems, 1273-1280, 2006
2092006
Intrusion detection in unlabeled data with quarter-sphere support vector machines
P Laskov, C Schäfer, I Kotenko, KR Müller
Praxis der Informationsverarbeitung und Kommunikation 27 (4), 228-236, 2004
1262004
Learning interpretable SVMs for biological sequence classification
G Rätsch, S Sonnenburg, C Schäfer
BMC bioinformatics 7 (S1), S9, 2006
732006
Learning interpretable SVMs for biological sequence classification
S Sonnenburg, G Rätsch, C Schäfer
Annual International Conference on Research in Computational Molecular …, 2005
642005
Single trial detection of EEG error potentials: A tool for increasing BCI transmission rates
B Blankertz, C Schäfer, G Dornhege, G Curio
International Conference on Artificial Neural Networks, 1137-1143, 2002
622002
Optimal dyadic decision trees
G Blanchard, C Schäfer, Y Rozenholc, KR Müller
Machine Learning 66 (2-3), 209-241, 2007
582007
Automatic identification of faked and fraudulent interviews in the German SOEP
C Schaefer, JP Schräpler, KR Müller, GG Wagner
Schmollers Jahrbuch: Journal of Applied Social Science Studies/Zeitschrift …, 2005
462005
Visualization of anomaly detection using prediction sensitivity
P Laskov, K Rieck, C Schäfer, KR Müller
Sicherheit 2005, Sicherheit–Schutz und Zuverlässigkeit, 2005
402005
Oracle bounds and exact algorithm for dyadic classification trees
G Blanchard, C Schäfer, Y Rozenholc
International Conference on Computational Learning Theory, 378-392, 2004
342004
Automatic identification of faked and fraudulent interviews in surveys by two different methods
C Schäfer, JP Schräpler, KR Müller, GG Wagner
ASA Section on Survey Research Methods, 4318-4325, 2004
292004
Method and Apparatus for Automatic Online Detection and Classification of Anomalous Objects in a Data Stream
KR Muller, P Laskov, D Tax, C Schafer
US Patent App. 10/568,217, 2008
172008
Aggregating classification accuracy across time: Application to single trial EEG
S Lemm, C Schäfer, G Curio
Advances in Neural Information Processing Systems, 825-832, 2006
122006
Support vector machines
S Mika, C Schäfer, P Laskov, D Tax, KR Müller
Handbook of Computational Statistics: Concepts and Methods, 841-876, 2004
102004
Determinants of fertility
C Schäfer, C Schmitt, C Schmitt
Duncker & Humblot (Berlin), 2007
7*2007
BCI competition 2003-data set III: probabilistic modeling of sensorimotor rhythms for classification of imaginary hand movements
L Steven, C Schafer, G Curio
Biomedical Engineering, IEEE Transactions on 51, 1077-1080, 2004
72004
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