Jürgen Paetz

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21EEJürgen Paetz: Subrule Analysis and the Frequency-Confidence Diagram. IDA 2007: 219-228
20EEJürgen Paetz: Evolution of Real Valued Weights for RBF-DDA Networks. IJCNN 2006: 2907-2913
19EEJürgen Paetz: Supervised Neuro-fuzzy Clustering for Life Science Applications. ISBMDA 2006: 378-389
18EEJürgen Paetz: Generalization Rules for Binarized Descriptors. ISBMDA 2006: 72-82
17EEJürgen Paetz: Optimization study with ligand-design interval rules. Journal of Intelligent and Fuzzy Systems 17(3): 263-285 (2006)
16EEJürgen Paetz: Comparing evolutionary optimization with ant colony optimization of drug design interval rules with and without pre-initialization. Congress on Evolutionary Computation 2005: 267-273
15EEJürgen Paetz, Gisbert Schneider: A neuro-fuzzy approach to virtual screening in molecular bioinformatics. Fuzzy Sets and Systems 152(1): 67-82 (2005)
14EEJürgen Paetz: Evolving Scientific Knowledge. Fuzzy Days 2004: 733-738
13EEJürgen Paetz: Finding optimal decision scores by evolutionary strategies. Artificial Intelligence in Medicine 32(2): 85-95 (2004)
12EEJürgen Paetz, Björn Arlt, Kerstin Erz, Katharina Holzer, Rüdiger W. Brause, Ernst Hanisch: Data quality aspects of a database for abdominal septic shock patients. Computer Methods and Programs in Biomedicine 75(1): 23-30 (2004)
11EEJürgen Paetz: Reducing the number of neurons in radial basis function networks with dynamic decay adjustment. Neurocomputing 62: 79-91 (2004)
10 Jürgen Paetz: Evolving Score Neural Networks. IICAI 2003: 57-65
9 Jürgen Paetz: Monte-Carlo Clustering by Neuro-Fuzzy Classification. IICAI 2003: 66-72
8EEJürgen Paetz: Knowledge-based approach to septic shock patient data using a neural network with trapezoidal activation functions. Artificial Intelligence in Medicine 28(2): 207-230 (2003)
7 Jürgen Paetz: Selecting the Representative Neuro-Fuzzy Model. FSKD 2002: 737-
6EEJürgen Paetz: Intersection Based Generalization Rules for the Analysis of Symbolic Septic Shock Patient Data. ICDM 2002: 673-676
5EEJürgen Paetz, Björn Arlt: A Neuro-fuzzy Based Alarm System for Septic Shock Patients with a Comparison to Medical Scores. ISMDA 2002: 42-52
4EEJürgen Paetz, Rüdiger W. Brause: Rule generation and model selection used for medical diagnosis. Journal of Intelligent and Fuzzy Systems 12(1): 69-78 (2002)
3EEJürgen Paetz: Metric Rule Generation with Septic Shock Patient Data. ICDM 2001: 637-638
2EEJürgen Paetz, Rüdiger W. Brause: A Frequent Patterns Tree Approach for Rule Generation with Categorical Septic Shock Patient Data. ISMDA 2001: 207-212
1EEJürgen Paetz, Fred Henrik Hamker, Sven Thöne: About the Analysis of Septic Shock Patient Data. ISMDA 2000: 130-137

Coauthor Index

1Björn Arlt [5] [12]
2Rüdiger W. Brause [2] [4] [12]
3Kerstin Erz [12]
4Fred Henrik Hamker [1]
5Ernst Hanisch [12]
6Katharina Holzer [12]
7Gisbert Schneider [15]
8Sven Thöne [1]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)