The SCEAS System
Navigation Menu

Search the dblp DataBase


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]

Search in 0.020secs, Finished in 0.021secs
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
System created by [] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002