| klaR analyzing German business cycles C Weihs, U Ligges, K Luebke, N Raabe Data analysis and decision support, 335-343, 2005 | 487 | 2005 |
| Exploratory landscape analysis O Mersmann, B Bischl, H Trautmann, M Preuss, C Weihs, G Rudolph Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 423 | 2011 |
| Resampling methods for meta-model validation with recommendations for evolutionary computation B Bischl, O Mersmann, H Trautmann, C Weihs Evolutionary computation 20 (2), 249-275, 2012 | 234 | 2012 |
| Data science: the impact of statistics C Weihs, K Ickstadt International Journal of Data Science and Analytics 6, 189-194, 2018 | 112 | 2018 |
| Classification of high and low achievers in a music sight-reading task R Kopiez, C Weihs, U Ligges, JI Lee Psychology of Music 34 (1), 5-26, 2006 | 106 | 2006 |
| On the distribution of the desirability index using Harrington’s desirability function H Trautmann, C Weihs Metrika 63, 207-213, 2006 | 98 | 2006 |
| Variable window adaptive kernel principal component analysis for nonlinear nonstationary process monitoring IB Khediri, M Limam, C Weihs Computers & Industrial Engineering 61 (3), 437-446, 2011 | 95 | 2011 |
| Model-based multi-objective optimization: taxonomy, multi-point proposal, toolbox and benchmark D Horn, T Wagner, D Biermann, C Weihs, B Bischl International Conference on Evolutionary Multi-Criterion Optimization, 64-78, 2015 | 90 | 2015 |
| Classification in music research C Weihs, U Ligges, F Mörchen, D Müllensiefen Advances in Data Analysis and Classification 1, 255-291, 2007 | 82 | 2007 |
| MOI-MBO: multiobjective infill for parallel model-based optimization B Bischl, S Wessing, N Bauer, K Friedrichs, C Weihs Learning and Intelligent Optimization: 8th International Conference, Lion 8 …, 2014 | 77 | 2014 |
| Desirability-Based Multi-Criteria Optimization of HVOF Spray Experiments to Manufacture Fine Structured Wear-Resistant 75Cr3C2-25(NiCr20) Coatings W Tillmann, E Vogli, I Baumann, G Kopp, C Weihs Journal of thermal spray technology 19, 392-408, 2010 | 77 | 2010 |
| Kernel k-means clustering based local support vector domain description fault detection of multimodal processes IB Khediri, C Weihs, M Limam Expert Systems with Applications 39 (2), 2166-2171, 2012 | 74 | 2012 |
| 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 |
| Statistische Methoden zur Qualitätssicherung und-optimierung in der Industrie C Weihs, J Jessenberger, YL Grize Wiley-Vch, 1999 | 66 | 1999 |
| BatchJobs and BatchExperiments: Abstraction mechanisms for using R in batch environments B Bischl, M Lang, O Mersmann, J Rahnenführer, C Weihs Journal of Statistical Software 64, 1-25, 2015 | 65 | 2015 |
| Monitoring a deep hole drilling process by nonlinear time series modeling A Messaoud, C Weihs Journal of Sound and Vibration 321 (3-5), 620-630, 2009 | 64 | 2009 |
| Analyzing the BBOB results by means of benchmarking concepts O Mersmann, M Preuss, H Trautmann, B Bischl, C Weihs Evolutionary computation 23 (1), 161-185, 2015 | 60 | 2015 |
| Music data analysis: Foundations and applications C Weihs, D Jannach, I Vatolkin, G Rudolph Chapman and Hall/CRC, 2016 | 59 | 2016 |
| Automatic model selection for high-dimensional survival analysis M Lang, H Kotthaus, P Marwedel, C Weihs, J Rahnenführer, B Bischl Journal of Statistical Computation and Simulation 85 (1), 62-76, 2015 | 56 | 2015 |
| Data analysis and decision support C Weihs, U Ligges, K Luebke, N Raabe, D Baier, R Decker, ... Springer, 2005 | 50 | 2005 |
