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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]