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Hans A. Kestler: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Axel Baune, Steffen Simon, Hans A. Kestler, Friedhelm Schwenker, Günther Palm
    Schritthaltende Objektklassifikation für einen autonomen mobilen Roboter. [Citation Graph (0, 0)][DBLP]
    AMS, 1999, pp:254-261 [Conf]
  2. Haythem El-Messiry, Hans A. Kestler, Olaf Grebe, Heiko Neumann
    Morphological Scale-Space Decomposition for Segmenting the Ventricular Structure in Cardiac MR Images. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 2003, pp:181-185 [Conf]
  3. Hans A. Kestler, Steffen Simon, Axel Baune, Markus Hagenbuchner, Friedhelm Schwenker, Günther Palm
    A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1999, pp:27-35 [Conf]
  4. Friedhelm Schwenker, Hans A. Kestler, M. Höher, Günther Palm
    Klassifikation hochverstärkter EKG Signale durch RBF-Netzwerke. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1995, pp:387-394 [Conf]
  5. Steffen Simon, Friedhelm Schwenker, Hans A. Kestler, Gerhard K. Kraetzschmar, Günther Palm
    Hierarchical Object Classification for Autonomous Mobile Robots. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:831-836 [Conf]
  6. Hans A. Kestler, Steffen Simon, Axel Baune, Friedhelm Schwenker, Günther Palm
    Object Classification Using Simple, Colour Based Visual Attention and a Hierarchical Neural Network for Neuro-symbolic Integration. [Citation Graph (0, 0)][DBLP]
    KI, 1999, pp:267-279 [Conf]
  7. Hans A. Kestler, André Müller, Malte Buchholz, Thomas M. Gress, Günther Palm
    A Perceptually Optimized Scheme for Visualizing Gene Expression Ratios with Confidence Values. [Citation Graph (0, 0)][DBLP]
    PIT, 2006, pp:73-84 [Conf]
  8. Hans A. Kestler, Johann M. Kraus, Günther Palm, Friedhelm Schwenker
    On the Effects of Constraints in Semi-supervised Hierarchical Clustering. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:57-66 [Conf]
  9. Hans A. Kestler, Wolfgang Lindner, André Müller
    Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression Profiles. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:286-297 [Conf]
  10. Hans A. Kestler, Christoph Müssel
    An Empirical Comparison of Feature Reduction Methods in the Context of Microarray Data Classification. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:260-273 [Conf]
  11. Friedhelm Schwenker, Andreas Sachs, Günther Palm, Hans A. Kestler
    Orientation Histograms for Face Recognition. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:253-259 [Conf]
  12. Hans A. Kestler, André Müller, Thomas M. Gress, Malte Buchholz
    Generalized Venn diagrams: a new method of visualizing complex genetic set relations. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:8, pp:1592-1595 [Journal]
  13. André Müller, Karlheinz Holzmann, Hans A. Kestler
    Visualization of genomic aberrations using Affymetrix SNP arrays. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:4, pp:496-497 [Journal]
  14. Friedhelm Schwenker, Christian Dietrich, Hans A. Kestler, Helge Klaus Rieder, Günther Palm
    Radial basis function neural networks and temporal fusion for the classification of bioacoustic time series. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:51, n:, pp:265-275 [Journal]
  15. Hans A. Kestler, Stefan Sablatnög, Steffen Simon, Stefan Enderle, Axel Baune, Gerhard K. Kraetzschmar, Friedhelm Schwenker, Günther Palm
    Concurrent Object Identification and Localization for a Mobile Robot. [Citation Graph (0, 0)][DBLP]
    KI, 2000, v:14, n:4, pp:23-29 [Journal]
  16. Friedhelm Schwenker, Hans A. Kestler, Günther Palm
    Three learning phases for radial-basis-function networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:4-5, pp:439-458 [Journal]
  17. Hans A. Kestler
    ROC with confidence - a Perl program for receiver operator characteristic curves. [Citation Graph (0, 0)][DBLP]
    Computer Methods and Programs in Biomedicine, 2001, v:64, n:2, pp:133-136 [Journal]

  18. Radial-basis-function networks: learning and applications. [Citation Graph (, )][DBLP]


  19. Boosting Threshold Classifiers for High- Dimensional Data in Functional Genomics. [Citation Graph (, )][DBLP]


  20. Robustness Analysis of Eleven Linear Classifiers in Extremely High-Dimensional Feature Spaces. [Citation Graph (, )][DBLP]


  21. BoolNet - an R package for generation, reconstruction and analysis of Boolean networks. [Citation Graph (, )][DBLP]


  22. VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays. [Citation Graph (, )][DBLP]


  23. A highly efficient multi-core algorithm for clustering extremely large datasets. [Citation Graph (, )][DBLP]


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