Martin Kreutz

According to our database1, Martin Kreutz authored at least 14 papers between 1996 and 2003.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2003
Operator adaptation in evolutionary computation and its application to structure optimization of neural networks.
Neurocomputing, 2003

2002
Analyse von dermatologischen Farben in der computergestützten Hautkrebsdiagnose.
Proceedings of the Bildverarbeitung für die Medizin 2002: Algorithmen, 2002

2001
Automated Diagnosis of Skin Cancer: Using Digital Image Processing and Mixture-of-Experts.
Proceedings of the Bildverarbeitung für die Medizin 2001: Algorithmen, 2001

2000
Modellierung von unvollständig beschriebenen Systemen.
PhD thesis, 2000

Solving Extended Hybrid-Flow-Shop Problems Using Active Schedule Generation and Genetic Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 2000

1999
A Model for the Dynamic Interaction Between Evolution and Learning.
Neural Process. Lett., 1999

Variable encoding of modular neural networks for time series prediction.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Using fitness distributions to improve the evolution of learning structures.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Structure optimization of density estimation models applied to regression problems with dynamic noise.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998
Optimisation of Density Estimation Models with Evolutionary Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 1998

1997
A Condition for the Genotype-Phenotype Mapping: Causality.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997

Evolutionary Optimization of the Structure of Neural Networks by a Recursive Mapping as Encoding.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

1996
Scale-invariant image recognition based on higher-order autocorrelation features.
Pattern Recognit., 1996

Analysis of Possible Genome-Dependence of Mutation Rates in Genetic Algorithms.
Proceedings of the Evolutionary Computing, 1996


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