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Jürgen Paetz: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jürgen Paetz
    Selecting the Representative Neuro-Fuzzy Model. [Citation Graph (0, 0)][DBLP]
    FSKD, 2002, pp:737-0 [Conf]
  2. Jürgen Paetz
    Metric Rule Generation with Septic Shock Patient Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:637-638 [Conf]
  3. Jürgen Paetz
    Intersection Based Generalization Rules for the Analysis of Symbolic Septic Shock Patient Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:673-676 [Conf]
  4. Jürgen Paetz
    Evolving Score Neural Networks. [Citation Graph (0, 0)][DBLP]
    IICAI, 2003, pp:57-65 [Conf]
  5. Jürgen Paetz
    Monte-Carlo Clustering by Neuro-Fuzzy Classification. [Citation Graph (0, 0)][DBLP]
    IICAI, 2003, pp:66-72 [Conf]
  6. Jürgen Paetz
    Generalization Rules for Binarized Descriptors. [Citation Graph (0, 0)][DBLP]
    ISBMDA, 2006, pp:72-82 [Conf]
  7. Jürgen Paetz
    Supervised Neuro-fuzzy Clustering for Life Science Applications. [Citation Graph (0, 0)][DBLP]
    ISBMDA, 2006, pp:378-389 [Conf]
  8. Jürgen Paetz, Björn Arlt
    A Neuro-fuzzy Based Alarm System for Septic Shock Patients with a Comparison to Medical Scores. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2002, pp:42-52 [Conf]
  9. Jürgen Paetz, Rüdiger W. Brause
    A Frequent Patterns Tree Approach for Rule Generation with Categorical Septic Shock Patient Data. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2001, pp:207-212 [Conf]
  10. Jürgen Paetz, Fred Henrik Hamker, Sven Thöne
    About the Analysis of Septic Shock Patient Data. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2000, pp:130-137 [Conf]
  11. Jürgen Paetz
    Knowledge-based approach to septic shock patient data using a neural network with trapezoidal activation functions. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2003, v:28, n:2, pp:207-230 [Journal]
  12. Jürgen Paetz
    Finding optimal decision scores by evolutionary strategies. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:32, n:2, pp:85-95 [Journal]
  13. Jürgen Paetz, Gisbert Schneider
    A neuro-fuzzy approach to virtual screening in molecular bioinformatics. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:152, n:1, pp:67-82 [Journal]
  14. Jürgen Paetz
    Reducing the number of neurons in radial basis function networks with dynamic decay adjustment. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:62, n:, pp:79-91 [Journal]
  15. Jürgen Paetz, Rüdiger W. Brause
    Rule generation and model selection used for medical diagnosis. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2002, v:12, n:1, pp:69-78 [Journal]
  16. Jürgen Paetz
    Optimization study with ligand-design interval rules. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2006, v:17, n:3, pp:263-285 [Journal]
  17. Jürgen Paetz, Björn Arlt, Kerstin Erz, Katharina Holzer, Rüdiger W. Brause, Ernst Hanisch
    Data quality aspects of a database for abdominal septic shock patients. [Citation Graph (0, 0)][DBLP]
    Computer Methods and Programs in Biomedicine, 2004, v:75, n:1, pp:23-30 [Journal]
  18. Jürgen Paetz
    Subrule Analysis and the Frequency-Confidence Diagram. [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:219-228 [Conf]
  19. Jürgen Paetz
    Comparing evolutionary optimization with ant colony optimization of drug design interval rules with and without pre-initialization. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:267-273 [Conf]

  20. Evolving Scientific Knowledge. [Citation Graph (, )][DBLP]


  21. Evolution of Real Valued Weights for RBF-DDA Networks. [Citation Graph (, )][DBLP]


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