| Tuning and evolution of support vector kernels P Koch, B Bischl, O Flasch, T Bartz-Beielstein, C Weihs, W Konen Evolutionary Intelligence 5, 153-170, 2012 | 73 | 2012 |
| Efficient Multi-criteria Optimization on Noisy Machine Learning Problems P Koch, T Wagner, MTM Emmerich, T Bäck, W Konen Applied Soft Computing, 1-31, 2015 | 53 | 2015 |
| Gesture recognition on few training data using slow feature analysis and parametric bootstrap P Koch, W Konen, K Hein The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010 | 53 | 2010 |
| Tuned data mining: a benchmark study on different tuners W Konen, P Koch, O Flasch, T Bartz-Beielstein, M Friese, B Naujoks Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 37 | 2011 |
| On the hybridization of SMS-EMOA and local search for continuous multiobjective optimization P Koch, O Kramer, G Rudolph, N Beume Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 29 | 2009 |
| The slowness principle: SFA can detect different slow components in non-stationary time series W Konen, P Koch International Journal of Innovative Computing and Applications 3 (1), 3-10, 2011 | 16 | 2011 |
| Noisy optimization with sequential parameter optimization and optimal computational budget allocation T Bartz-Beielstein, M Friese, M Zaefferer, B Naujoks, O Flasch, W Konen, ... Proceedings of the 13th annual conference companion on Genetic and …, 2011 | 14 | 2011 |
| Rake selection: A novel evolutionary multi-objective optimization algorithm O Kramer, P Koch Annual conference on artificial intelligence, 177-184, 2009 | 12 | 2009 |
| Parameter-tuned data mining: A general framework W Konen, P Koch, O Flasch, T Bartz-Beielstein Proceedings 20, 2010 | 10 | 2010 |
| Optimizing support vector machines for stormwater prediction P Koch, W Konen, O Flasch, T Bartz-Beielstein Workshop on Experimental Methods for the Assessment of Computational Systems …, 2010 | 10 | 2010 |
| Optimization of support vector regression models for stormwater prediction P Koch, T Bartz-Beielstein, W Konen Proceedings 20. workshop computational intelligence. Universitätsverlag …, 2010 | 9 | 2010 |
| Genetic programming applied to predictive control in environmental engineering O Flasch, T Bartz-Beielstein, P Koch, W Konen Proceedings 19, 101-113, 2009 | 9 | 2009 |
| Self-adaptive partially mapped crossover O Kramer, P Koch Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007 | 9 | 2007 |
| Comparing ci methods for prediction models in environmental engineering O Flasch, T Bartz-Beielstein, A Davtyan, P Koch, W Konen, TD Oyetoyan, ... Proc. of CEC, 2010 | 8 | 2010 |
| How slow is slow? SFA detects signals that are slower than the driving force W Konen, P Koch arXiv preprint arXiv:0911.4397, 2009 | 7 | 2009 |
| Comparing SPO-tuned GP and NARX prediction models for stormwater tank fill level prediction O Flasch, T Bartz-Beielstein, A Davtyan, P Koch, W Konen, TD Oyetoyan, ... IEEE Congress on Evolutionary Computation, 1-8, 2010 | 6 | 2010 |
| Clustering based niching for genetic programming in the R environment O Flasch, T Bartz-Beielstein, P Koch, W Konen Proceedings 20, 33-46, 2014 | 3 | 2014 |
| Efficient tuning in supervised machine learning P Koch Neural Computation 9 (7), 1545-1588, 1997 | 2 | 1997 |
| Ensemble-based modeling T Bartz-Beielstein, M Friese, O Flasch, W Konen, P Koch, B Naujoks CIOP Technical Report 06/11, Research Center CIOP (Computational …, 2011 | 1 | 2011 |
| Tuned Data Mining in R P Koch, W Konen, O Flasch, M Friese, B Naujoks, M Zaefferer, ... Clustering Neuronale Netze Data Mining Regelung Analyse, 147, 2014 | | 2014 |
Thomas Bartz-BeielsteinTH Koeln, Institute for Data Science, Engineering, and AnalyticsVerified email at th-koeln.de