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ORCIDJürgen Paetz
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2000 – 2009
- 2007
[c18]Jürgen Paetz:
On the Role of Numerical Preciseness for Generalization, Classification, Type-1, and Type-2 Fuzziness. FOCI 2007: 208-213- [c17]Jürgen Paetz:
Subrule Analysis and the Frequency-Confidence Diagram. IDA 2007: 219-228 - 2006
- [b1]Jürgen Paetz:
Adaptive Regelgenerierung und ihre Verwendung zur Diagnose des septischen Schocks. Frankfurt University, Germany, 2006 - [j8]Jürgen Paetz:
Optimization study with ligand-design interval rules. J. Intell. Fuzzy Syst. 17(3): 263-285 (2006) - [j7]Jürgen Paetz:
Descriptor vector redesign by neuro-fuzzy analysis. Soft Comput. 10(4): 287-294 (2006) - [c16]Jürgen Paetz:
The Particle Swarm Interval Rule Optimizer with an Application to Drug Design Data. IEEE Congress on Evolutionary Computation 2006: 2556-2562 - [c15]Jürgen Paetz:
Evolution of Real Valued Weights for RBF-DDA Networks. IJCNN 2006: 2907-2913 - [c14]Jürgen Paetz:
Generalization Rules for Binarized Descriptors. ISBMDA 2006: 72-82 - [c13]Jürgen Paetz:
Supervised Neuro-fuzzy Clustering for Life Science Applications. ISBMDA 2006: 378-389 - 2005
- [j6]Jürgen Paetz, Gisbert Schneider
:
A neuro-fuzzy approach to virtual screening in molecular bioinformatics. Fuzzy Sets Syst. 152(1): 67-82 (2005) - [c12]Jürgen 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 - 2004
- [j5]Jürgen Paetz:
Finding optimal decision scores by evolutionary strategies. Artif. Intell. Medicine 32(2): 85-95 (2004) - [j4]Jürgen Paetz, Björn Arlt, Kerstin Erz, Katharina Holzer, Rüdiger W. Brause, Ernst Hanisch:
Data quality aspects of a database for abdominal septic shock patients. Comput. Methods Programs Biomed. 75(1): 23-30 (2004) - [j3]Jürgen Paetz:
Reducing the number of neurons in radial basis function networks with dynamic decay adjustment. Neurocomputing 62: 79-91 (2004) - [c11]Jürgen Paetz:
Evolutionary optimization of interval rules for drug design. CIBCB 2004: 238-243 - [c10]Jürgen Paetz, Gisbert Schneider:
Virtual screening using local neuro-fuzzy rules. FUZZ-IEEE 2004: 861-865 - [c9]Jürgen Paetz:
Evolving Scientific Knowledge. Fuzzy Days 2004: 733-738 - 2003
- [j2]Jürgen Paetz:
Knowledge-based approach to septic shock patient data using a neural network with trapezoidal activation functions. Artif. Intell. Medicine 28(2): 207-230 (2003) - [c8]Jürgen Paetz:
Evolving Score Neural Networks. IICAI 2003: 57-65 - [c7]Jürgen Paetz:
Monte-Carlo Clustering by Neuro-Fuzzy Classification. IICAI 2003: 66-72 - 2002
- [j1]Jürgen Paetz, Rüdiger W. Brause:
Rule generation and model selection used for medical diagnosis. J. Intell. Fuzzy Syst. 12(1): 69-78 (2002) - [c6]Jürgen Paetz:
Selecting the Representative Neuro-Fuzzy Model. FSKD 2002: 737- - [c5]Jürgen Paetz:
Intersection Based Generalization Rules for the Analysis of Symbolic Septic Shock Patient Data. ICDM 2002: 673-676 - [c4]Jürgen Paetz, Björn Arlt:
A Neuro-fuzzy Based Alarm System for Septic Shock Patients with a Comparison to Medical Scores. ISMDA 2002: 42-52 - 2001
- [c3]Jürgen Paetz:
Metric Rule Generation with Septic Shock Patient Data. ICDM 2001: 637-638 - [c2]Jürgen Paetz, Rüdiger W. Brause:
A Frequent Patterns Tree Approach for Rule Generation with Categorical Septic Shock Patient Data. ISMDA 2001: 207-212 - 2000
- [c1]Jürgen Paetz, Fred H. Hamker, Sven Thöne:
About the Analysis of Septic Shock Patient Data. ISMDA 2000: 130-137
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