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Peter Krause
Peter Krause
divis intelligent solutions GmbH
Verified email at divis-gmbh.de
Title
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Cited by
Year
Contemporary evolution strategies
T Bäck, C Foussette, P Krause
Springer, 2013
1322013
Novel head and neck cancer survival analysis approach: random survival forests versus Cox proportional hazards regression
FR Datema, A Moya, P Krause, T Bäck, L Willmes, T Langeveld, ...
Head & neck 34 (1), 50-58, 2012
692012
A new rule reduction method for finding interpretable and small rule bases in high dimensional search spaces
A Krone, P Krause, T Slawinski
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference …, 2000
592000
A hybrid evolutionary search concept for data-based generation of relevant fuzzy rules in high dimensional spaces
T Slawinski, A Krone, U Hammel, D Wiesmann, P Krause
Proceedings of the IEEE International Conference on Fuzzy Systems 3, 1432-1437, 1999
391999
A new repair method for constrained optimization
P Koch, S Bagheri, W Konen, C Foussette, P Krause, T Bäck
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
302015
The Fuzzy-ROSA Method: A Statistically Motivated Fuzzy Approach for
T Slawinski, A Krone, P Krause, H Kiendl
Data Mining and Computational Intelligence 68, 141, 2013
19*2013
The fuzzy-ROSA method: A statistically motivated fuzzy approach for data-based generation of small interpretable rule bases in high-dimensional search spaces
T Slawinski, A Krone, P Krause, H Kiendl
Data mining and computational intelligence, 141-166, 2001
192001
Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms
S Däubener, S Schmitt, H Wang, P Krause, T Bäck
19*
Constrained optimization with a limited number of function evaluations
P Koch, S Bagheri, C Foussette, P Krause, T Bäck, W Konen
ProcEEDings 24. Workshop comPutational intElligEncE, 237, 2014
122014
Baatenburg de Jong RJ, Blom HM. Novel head and neck cancer survival analysis approach: random survival forests versus Cox proportional hazards regression
FR Datema, A Moya, P Krause, T Back, L Willmes, T Langeveld
Head Neck 34 (1), 50-8, 2012
122012
Evolution strategies
T Bäck, C Foussette, P Krause
Contemporary Evolution Strategies, 7-45, 2013
112013
Generierung von Takagi–Sugeno–Fuzzy–Systemen aus relevanten Fuzzy–Regeln
P Krause
Proceedings 10, 84-97, 0
10*
Datenbasierte Generierung von transparenten und genauen Fuzzy-Modellen für mehrdeutige Daten und komplexe Systeme
P Krause
VDI-Verlag, 2002
92002
SACOBRA: Self-adjusting constrained black-box optimization with RBF
S Bagheri, W Konen, C Foussette, P Krause, T Bäck, P Koch
Proc. 25. Workshop Computational Intelligence, F. Hoffmann and E …, 2015
72015
WINROSA 2.0 and DORA for Windows 6.2
A Krone, P Krause, T Slawinski, R Knicker
Symposium Identification (SYSID), 521-526, 2000
7*2000
Data-based fuzzy modeling for complex applications
H Kiendl, P Krause, D Schauten, T Slawinski
Advances in Computational Intelligence, 46-77, 2003
62003
Characteristic amino acid combinations in olfactory G protein‐coupled receptors
EV Samsonova, P Krause, T Bäck, AP IJzerman
Proteins: Structure, Function, and Bioinformatics 67 (1), 154-166, 2007
52007
Implicit modeling to cope with ambigous data
H Kiendl, P Krause
Proceedings of the IASTED International Conference Modeling, Identification …, 2001
52001
Einsatz der datenbasierten Fuzzy-Modellierung fur komplexe Anwendungen
T Slawinski, H Jessen, J Praczyk, P Krause, A Krone, H Kiendl
VDI BERICHTE 1526, 119-124, 2000
52000
Search Space Structuring as a Key to cope with different Problem Sizes in the Field of Fuzzy Modeling
A Krone, T Slawinski, P Krause
World Automation Congress, WAC, 2000
52000
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