Seuraa
Christin Schäfer
Christin Schäfer
acs plus GmbH
Vahvistettu sähköpostiosoite verkkotunnuksessa acs-plus.de - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Large scale multiple kernel learning
S Sonnenburg, G Rätsch, C Schäfer, B Schölkopf
The Journal of Machine Learning Research 7, 1531-1565, 2006
17602006
Learning intrusion detection: supervised or unsupervised?
P Laskov, P Düssel, C Schäfer, K Rieck
International Conference on Image Analysis and Processing, 50-57, 2005
3982005
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
3372003
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
3372003
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
2982004
A general and efficient multiple kernel learning algorithm
S Sonnenburg, G Rätsch, C Schäfer
Advances in neural information processing systems 18, 1273-1280, 2005
2372005
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
1412004
Learning interpretable SVMs for biological sequence classification
G Rätsch, S Sonnenburg, C Schäfer
BMC bioinformatics 7, 1-14, 2006
1042006
Single trial detection of EEG error potentials: A tool for increasing BCI transmission rates
B Blankertz, C Schäfer, G Dornhege, G Curio
Artificial Neural Networks—ICANN 2002: International Conference Madrid …, 2002
742002
Learning interpretable SVMs for biological sequence classification
S Sonnenburg, G Rätsch, C Schäfer
Annual International Conference on Research in Computational Molecular …, 2005
702005
Optimal dyadic decision trees
G Blanchard, C Schäfer, Y Rozenholc, KR Müller
Machine Learning 66 (2-3), 209-241, 2007
672007
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
542005
Visualization of anomaly detection using prediction sensitivity
P Laskov, K Rieck, C Schäfer, KR Müller
Sicherheit 2005, Sicherheit–Schutz und Zuverlässigkeit, 197-208, 2005
472005
Oracle bounds and exact algorithm for dyadic classification trees
G Blanchard, C Schäfer, Y Rozenholc
International Conference on Computational Learning Theory, 378-392, 2004
432004
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
402004
Probabilistic modeling of sensorimotor mu-rhythms for classification of imaginary hand movements
S Lemm, C Schäfer, G Curio
IEEE Transactions on Biomedical Engineering 51 (6), 1077-80, 2004
352004
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
242008
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
142006
Determinants of fertility
C Schäfer, C Schmitt, C Schmitt
Duncker & Humblot (Berlin), 2007
11*2007
Support vector machines
S Mika, C Schäfer, P Laskov, D Tax, KR Müller
Handbook of Computational Statistics: Concepts and Methods, 841-876, 2004
102004
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Artikkelit 1–20