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Publications of Author

1. Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann
   Relevance learning for mental disease classification. [Citation Graph (0, 0)][DBLP]
   ESANN, 2005, pp:139-144 [Conf]
   
2. Marc Strickert, Barbara Hammer
   Unsupervised Recursive Sequence Processing. [Citation Graph (0, 0)][DBLP]
   ESANN, 2003, pp:27-32 [Conf]
   
3. Marc Strickert, Barbara Hammer
   Self-organizing context learning. [Citation Graph (0, 0)][DBLP]
   ESANN, 2004, pp:39-44 [Conf]
   
4. Marc Strickert, Nese Sreenivasulu, Udo Seiffert
   Sanger-driven MDSLocalize - a comparative study for genomic data. [Citation Graph (0, 0)][DBLP]
   ESANN, 2006, pp:265-270 [Conf]
   
5. Marc Strickert, Nese Sreenivasulu, Winfriede Weschke, Udo Seiffert, Thomas Villmann
   Generalized Relevance LVQ with Correlation Measures for Biological Data. [Citation Graph (0, 0)][DBLP]
   ESANN, 2005, pp:331-338 [Conf]
   
6. Barbara Hammer, Marc Strickert, Thomas Villmann
   Relevance LVQ versus SVM. [Citation Graph (0, 0)][DBLP]
   ICAISC, 2004, pp:592-597 [Conf]
   
7. Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann
   Rule Extraction from Self-Organizing Networks. [Citation Graph (0, 0)][DBLP]
   ICANN, 2002, pp:877-883 [Conf]
   
8. Barbara Hammer, Marc Strickert, Thomas Villmann
   Learning Vector Quantization for Multimodal Data. [Citation Graph (0, 0)][DBLP]
   ICANN, 2002, pp:370-376 [Conf]
   
9. Marc Strickert, Thorsten Bojer, Barbara Hammer
   Generalized Relevance LVQ for Time Series. [Citation Graph (0, 0)][DBLP]
   ICANN, 2001, pp:677-683 [Conf]
   
10. Marc Strickert, Stefan Teichmann, Nese Sreenivasulu, Udo Seiffert
    High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:625-633 [Conf]
    
11. Marc Strickert, Nese Sreenivasulu, Silke Peterek, Winfriede Weschke, Hans-Peter Mock, Udo Seiffert
    Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:274-285 [Conf]
    
12. Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert
    A general framework for unsupervised processing of structured data. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:3-35 [Journal]
    
13. Marc Strickert, Barbara Hammer
    Merge SOM for temporal data. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:64, n:, pp:39-71 [Journal]
    
14. Marc Strickert, Barbara Hammer, Sebastian Blohm
    Unsupervised recursive sequence processing. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:63, n:, pp:69-97 [Journal]
    
15. Marc Strickert, Udo Seiffert, Nese Sreenivasulu, Winfriede Weschke, Thomas Villmann, Barbara Hammer
    Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:651-659 [Journal]
    
16. Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert
    Recursive self-organizing network models. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:8-9, pp:1061-1085 [Journal]
    
17. Barbara Hammer, Marc Strickert, Thomas Villmann
    Supervised Neural Gas with General Similarity Measure. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2005, v:21, n:1, pp:21-44 [Journal]
    
18. Barbara Hammer, Marc Strickert, Thomas Villmann
    On the Generalization Ability of GRLVQ Networks. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2005, v:21, n:2, pp:109-120 [Journal]
    
19. 
    Towards Automatic Segmentation of Serial High-Resolution Images. [Citation Graph (, )][DBLP]
    
    
20. 
    Correlation-based Data Representation. [Citation Graph (, )][DBLP]
    
    
21. 
    Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data. [Citation Graph (, )][DBLP]
    
    
22. 
    Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS. [Citation Graph (, )][DBLP]
    
    
23. 
    Metric adaptation for supervised attribute rating. [Citation Graph (, )][DBLP]
    
    
24. 
    CUDA-based Multi-core Implementation of MDS-based Bioinformatics Algorithms. [Citation Graph (, )][DBLP]
    
    
25. 
    Utilizing Promoter Pair Orientations for HMM-based Analysis of ChIP-chip Data. [Citation Graph (, )][DBLP]
    
    
26. 
    Intuitive Clustering of Biological Data. [Citation Graph (, )][DBLP]
    
    
27. 
    Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data. [Citation Graph (, )][DBLP]
    
    
28. 
    Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics. [Citation Graph (, )][DBLP]
    
    
29. 
    Robust Centroid-Based Clustering using Derivatives of Pearson Correlation. [Citation Graph (, )][DBLP]
    
    
30. 
    Array-based Genome Comparison of Arabidopsis Ecotypes using Hidden Markov Models. [Citation Graph (, )][DBLP]
    
    
31. 
    Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip data. [Citation Graph (, )][DBLP]
    
    
32. 
    Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue. [Citation Graph (, )][DBLP]
    
    
33. 
    Unifying generative and discriminative learning principles. [Citation Graph (, )][DBLP]