About the Analysis of Septic Shock Patient Data. - Jürgen Paetz; Fred H. Hamker; Sven Thöne (ISMDA, 2000)

Metric Rule Generation with Septic Shock Patient Data. - Jürgen Paetz (ICDM, 2001)

A Frequent Patterns Tree Approach for Rule Generation with Categorical Septic Shock Patient Data. - Jürgen Paetz; Rüdiger W. Brause (ISMDA, 2001)

Selecting the Representative Neuro-Fuzzy Model. - Jürgen Paetz (FSKD, 2002)

Intersection Based Generalization Rules for the Analysis of Symbolic Septic Shock Patient Data. - Jürgen Paetz (ICDM, 2002)

A Neuro-fuzzy Based Alarm System for Septic Shock Patients with a Comparison to Medical Scores. - Jürgen Paetz; Björn Arlt (ISMDA, 2002)

Rule generation and model selection used for medical diagnosis. - Jürgen Paetz; Rüdiger W. Brause (J. Intell. Fuzzy Syst., 2002)

Evolving Score Neural Networks. - Jürgen Paetz (IICAI, 2003)

Monte-Carlo Clustering by Neuro-Fuzzy Classification. - Jürgen Paetz (IICAI, 2003)

Knowledge-based approach to septic shock patient data using a neural network with trapezoidal activation functions. - Jürgen Paetz (Artif. Intell. Medicine, 2003)

Evolutionary optimization of interval rules for drug design. - Jürgen Paetz (CIBCB, 2004)

Virtual screening using local neuro-fuzzy rules. - Jürgen Paetz; Gisbert Schneider (FUZZ-IEEE, 2004)

Evolving Scientific Knowledge. - Jürgen Paetz (Fuzzy Days, 2004)

Finding optimal decision scores by evolutionary strategies. - Jürgen Paetz (Artif. Intell. Medicine, 2004)

Data quality aspects of a database for abdominal septic shock patients. - Jürgen Paetz; Björn Arlt; Kerstin Erz; Katharina Holzer; Rüdiger W. Brause; Ernst Hanisch (Comput. Methods Programs Biomed., 2004)

Reducing the number of neurons in radial basis function networks with dynamic decay adjustment. - Jürgen Paetz (Neurocomputing, 2004)

Comparing evolutionary optimization with ant colony optimization of drug design interval rules with and without pre-initialization. - Jürgen Paetz (Congress on Evolutionary Computation, 2005)

A neuro-fuzzy approach to virtual screening in molecular bioinformatics. - Jürgen Paetz; Gisbert Schneider (Fuzzy Sets Syst., 2005)

The Particle Swarm Interval Rule Optimizer with an Application to Drug Design Data. - Jürgen Paetz (IEEE Congress on Evolutionary Computation, 2006)

Evolution of Real Valued Weights for RBF-DDA Networks. - Jürgen Paetz (IJCNN, 2006)

Generalization Rules for Binarized Descriptors. - Jürgen Paetz (ISBMDA, 2006)

Supervised Neuro-fuzzy Clustering for Life Science Applications. - Jürgen Paetz (ISBMDA, 2006)

Optimization study with ligand-design interval rules. - Jürgen Paetz (J. Intell. Fuzzy Syst., 2006)

Descriptor vector redesign by neuro-fuzzy analysis. - Jürgen Paetz (Soft Comput., 2006)

Adaptive Regelgenerierung und ihre Verwendung zur Diagnose des septischen Schocks - Jürgen Paetz (2006)

On the Role of Numerical Preciseness for Generalization, Classification, Type-1, and Type-2 Fuzziness. - Jürgen Paetz (FOCI, 2007)

Subrule Analysis and the Frequency-Confidence Diagram. - Jürgen Paetz (IDA, 2007)