Christin Schäfer

According to our database1, Christin Schäfer authored at least 14 papers between 2002 and 2007.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2007
Optimal dyadic decision trees.
Mach. Learn., 2007

2006
Large Scale Multiple Kernel Learning.
J. Mach. Learn. Res., 2006

Learning Interpretable SVMs for Biological Sequence Classification.
BMC Bioinform., 2006

Aggregating Classification Accuracy across Time: Application to Single Trial EEG.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
Visualization of anomaly detection using prediction sensitivity.
Proceedings of the Sicherheit 2005: Sicherheit, 2005

A General and Efficient Multiple Kernel Learning Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Learning Intrusion Detection: Supervised or Unsupervised?.
Proceedings of the Image Analysis and Processing, 2005

2004
BCI competition 2003-data set III: probabilistic modeling of sensorimotor μ rhythms for classification of imaginary hand movements.
IEEE Trans. Biomed. Engineering, 2004

Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector Machines.
PIK Prax. Informationsverarbeitung Kommun., 2004

Binary On-line Classification Based on Temporally Integrated Information.
Proceedings of the Classification, 2004

Annealed k-Means Clustering and Decision Trees.
Proceedings of the Classification, 2004

Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines.
Proceedings of the Detection of Intrusions and Malware & Vulnerability Assessment, 2004

Oracle Bounds and Exact Algorithm for Dyadic Classification Trees.
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004

2002
Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission Rates.
Proceedings of the Artificial Neural Networks, 2002


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