 | 2008 |
|---|
| 6 |       | Alexandra Scherbart,
Wiebke Timm,
Sebastian Böcker,
Tim W. Nattkemper:
Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting.
ICONIP (1) 2008: 513-520 |
| 5 | | Alexandra Scherbart,
Tim W. Nattkemper:
The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method.
ICONIP (2) 2008: 911-918 |
| 4 | | Wiebke Timm,
Alexandra Scherbart,
Sebastian Böcker,
Oliver Kohlbacher,
Tim W. Nattkemper:
Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics.
BMC Bioinformatics 9: (2008) |
| 2007 |
|---|
| 3 | | Alexandra Scherbart,
Wiebke Timm,
Sebastian Böcker,
Tim W. Nattkemper:
Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping.
ICANN (2) 2007: 90-99 |
| 2006 |
|---|
| 2 | | Nils Goerke,
Alexandra Scherbart:
Classification using Multi-SOMs and Multi-Neural Gas.
IJCNN 2006: 3895-3902 |
| 1 | | Nils Goerke,
Alexandra Scherbart:
Using Multi-SOMs and Multi-Neural-Gas as Neural Classifiers.
Industrial Conference on Data Mining 2006: 250-263 |
