| Contemporary evolution strategies T Bäck, C Foussette, P Krause Springer, 2013 | 121 | 2013 |
| 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 | 62 | 2012 |
| 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 | 62 | 2000 |
| 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 | 39 | 1999 |
| 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 | 27 | 2015 |
| 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 | 20 | 2001 |
| Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms S Däubener, S Schmitt, H Wang, P Krause, T Bäck | 18* | |
| Evolution strategies T Bäck, C Foussette, P Krause Contemporary Evolution Strategies, 7-45, 2013 | 14 | 2013 |
| 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 | 11 | 2014 |
| Generierung von Takagi–Sugeno–Fuzzy–Systemen aus relevanten Fuzzy–Regeln P Krause Proceedings 10, 84-97, 0 | 10* | |
| 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 | 9 | 2012 |
| Datenbasierte Generierung von transparenten und genauen Fuzzy-Modellen für mehrdeutige Daten und komplexe Systeme P Krause VDI-Verlag, 2002 | 9 | 2002 |
| WINROSA 2.0 and DORA for Windows 6.2 A Krone, P Krause, T Slawinski, R Knicker Symposium Identification (SYSID), 521-526, 2000 | 8* | 2000 |
| 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 | 7 | 2015 |
| 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 | 7 | 2000 |
| Fuzzy system identification by generating and evolutionary optimizing fuzzy rule bases consisting of relevant fuzzy rules P Krause, A Krone, T Slawinski Univ., SFB 531, 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 | 6 | 2003 |
| 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 | 5 | 2007 |
| 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 | 5 | 2000 |
| Fuzzy Adaption der evolutionären Regelsuche im Fuzzy-ROSA-Verfahren T Slawinski, P Krause, A Krone, U Hammel, D Wiesmann Tagungsband des 9. Workshops Fuzzy Control des GMA-FA 5.22, Dortmund, 14-39, 1999 | 5 | 1999 |
