| 2003 |
| 9 | EE | Christian Igel,
Martin Kreutz:
Operator adaptation in evolutionary computation and its application to structure optimization of neural networks.
Neurocomputing 55(1-2): 347-361 (2003) |
| 2002 |
| 8 | | Thomas Erkes,
Thorsten Grünendick,
Maik Anschütz,
Andreas Rick,
Martin Kreutz:
Analyse von dermatologischen Farben in der computergestützten Hautkrebsdiagnose.
Bildverarbeitung für die Medizin 2002: 247-250 |
| 2001 |
| 7 | | Martin Kreutz,
Maik Anschütz,
Stefan Gehlen,
Thorsten Grünendick,
Klaus Hoffmann:
Automated Diagnosis of Skin Cancer: Using Digital Image Processing and Mixture-of-Experts.
Bildverarbeitung für die Medizin 2001: 357-361 |
| 2000 |
| 6 | | Martin Kreutz,
Detlef Hanke,
Stefan Gehlen:
Solving Extended Hybrid-Flow-Shop Problems Using Active Schedule Generation and Genetic Algorithms.
PPSN 2000: 293-302 |
| 1999 |
| 5 | | Bernhard Sendhoff,
Martin Kreutz:
A Model for the Dynamic Interaction Between Evolution and Learning.
Neural Processing Letters 10(3): 181-193 (1999) |
| 1998 |
| 4 | EE | Martin Kreutz,
Anja M. Reimetz,
Bernhard Sendhoff,
Claus Weihs,
Werner von Seelen:
Optimisation of Density Estimation Models with Evolutionary Algorithms.
PPSN 1998: 998-1007 |
| 1997 |
| 3 | | Bernhard Sendhoff,
Martin Kreutz,
Werner von Seelen:
A Condition for the Genotype-Phenotype Mapping: Causality.
ICGA 1997: 73-80 |
| 1996 |
| 2 | | Bernhard Sendhoff,
Martin Kreutz:
Analysis of Possible Genome-Dependence of Mutation Rates in Genetic Algorithms.
Evolutionary Computing, AISB Workshop 1996: 257-268 |
| 1 | EE | Martin Kreutz,
Bernd Völpel,
Herbert Janßen:
Scale-invariant image recognition based on higher-order autocorrelation features.
Pattern Recognition 29(1): 19-26 (1996) |