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Frank Emmert-Streib: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Frank Emmert-Streib, Matthias Dehmer
    Theoretical Bounds for the Number of Inferable Edges in Sparse Random Networks. [Citation Graph (0, 0)][DBLP]
    BIOCOMP, 2006, pp:472-476 [Conf]
  2. Frank Emmert-Streib, Matthias Dehmer, Chris Seidel
    Influence of Prior Information on the Reconstruction of the Yeast Cell Cycle from Microarray Data. [Citation Graph (0, 0)][DBLP]
    BIOCOMP, 2006, pp:477-482 [Conf]
  3. Frank Emmert-Streib, Matthias Dehmer, Jürgen Kilian
    Classification of Large Graphs by a Local Tree Decomposition. [Citation Graph (0, 0)][DBLP]
    DMIN, 2005, pp:200-207 [Conf]
  4. Frank Emmert-Streib
    A Novel Stochastic Learning Rule for Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:414-423 [Conf]
  5. Frank Emmert-Streib
    A Neurobiologically Motivated Model for Self-organized Learning. [Citation Graph (0, 0)][DBLP]
    MICAI, 2005, pp:415-424 [Conf]
  6. Jens R. Otterpohl, Frank Emmert-Streib, Klaus Pawelzik
    A constrained HMM-based approach to the estimation of perceptual switching dynamics in pigeons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:1495-1501 [Journal]
  7. Frank Emmert-Streib
    Influence of the neural network topology on the learning dynamics. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:10-12, pp:1179-1182 [Journal]
  8. Matthias Dehmer, Frank Emmert-Streib, Jürgen Kilian
    A similarity measure for graphs with low computational complexity. [Citation Graph (0, 0)][DBLP]
    Applied Mathematics and Computation, 2006, v:182, n:1, pp:447-459 [Journal]
  9. Frank Emmert-Streib, Matthias Dehmer
    Optimization Procedure for Predicting Nonlinear Time Series Based on a Non-Gaussian Noise Model. [Citation Graph (0, 0)][DBLP]
    MICAI, 2007, pp:540-549 [Conf]

  10. Optimize Observational Time Points to Maximize the Inferability of Gene Networks. [Citation Graph (, )][DBLP]


  11. Graph-theoretical Characterizations of Generalized Trees. [Citation Graph (, )][DBLP]


  12. A Graph Mining Technique for Automatic Classification of Web Genre Data. [Citation Graph (, )][DBLP]


  13. Organizational Structure of the Transcriptional Regulatory Network of Yeast: Periodic Genes. [Citation Graph (, )][DBLP]


  14. Towards Network Complexity. [Citation Graph (, )][DBLP]


  15. Towards a Partitioning of the Input Space of Boolean Networks: Variable Selection Using Bagging. [Citation Graph (, )][DBLP]


  16. Preface. [Citation Graph (, )][DBLP]


  17. Unite and conquer: univariate and multivariate approaches for finding differentially expressed gene sets. [Citation Graph (, )][DBLP]


  18. Revealing differences in gene network inference algorithms on the network level by ensemble methods. [Citation Graph (, )][DBLP]


  19. A topological algorithm for identification of structural domains of proteins. [Citation Graph (, )][DBLP]


  20. Structural information content of networks: Graph entropy based on local vertex functionals. [Citation Graph (, )][DBLP]


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