Classification using Multi-SOMs and Multi-Neural Gas. - Nils Goerke; Alexandra Scherbart (IJCNN, 2006)

Using Multi-SOMs and Multi-Neural-Gas as Neural Classifiers. - Nils Goerke; Alexandra Scherbart (ICDM, 2006)

Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping. - Alexandra Scherbart; Wiebke Timm; Sebastian Böcker; Tim W. Nattkemper (ICANN (2), 2007)

The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method. - Alexandra Scherbart; Tim W. Nattkemper (ICONIP (2), 2008)

Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting. - Alexandra Scherbart; Wiebke Timm; Sebastian Böcker; Tim W. Nattkemper (ICONIP (1), 2008)

Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics. - Wiebke Timm; Alexandra Scherbart; Sebastian Böcker; Oliver Kohlbacher; Tim W. Nattkemper (BMC Bioinform., 2008)

Looking inside self-organizing map ensembles with resampling and negative correlation learning. - Alexandra Scherbart; Tim W. Nattkemper (Neural Networks, 2011)

Looking inside ensembles of negatively correlated Self-Organizing Maps. - Alexandra Scherbart (2011)