| Automated algorithm selection: Survey and perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019 | 637 | 2019 |
| 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 | 553 | 2011 |
| On the properties of the R2 indicator D Brockhoff, T Wagner, H Trautmann Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 269 | 2012 |
| Social bots: Human-like by means of human control? C Grimme, M Preuss, L Adam, H Trautmann Big data 5 (4), 279-293, 2017 | 240 | 2017 |
| Automated algorithm selection on continuous black-box problems by combining exploratory landscape analysis and machine learning P Kerschke, H Trautmann Evolutionary computation 27 (1), 99-127, 2019 | 236 | 2019 |
| 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 | 236 | 2012 |
| Algorithm selection based on exploratory landscape analysis and cost-sensitive learning B Bischl, O Mersmann, H Trautmann, M Preuß Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 196 | 2012 |
| Demystifying social bots: On the intelligence of automated social media actors D Assenmacher, L Clever, L Frischlich, T Quandt, H Trautmann, ... Social Media+ Society 6 (3), 2056305120939264, 2020 | 177 | 2020 |
| Benchmarking evolutionary algorithms: Towards exploratory landscape analysis O Mersmann, M Preuss, H Trautmann International Conference on Parallel Problem Solving from Nature, 73-82, 2010 | 170 | 2010 |
| Comprehensive feature-based landscape analysis of continuous and constrained optimization problems using the R-package flacco P Kerschke, H Trautmann Applications in statistical computing: from music data analysis to …, 2019 | 165 | 2019 |
| Integration of preferences in hypervolume-based multiobjective evolutionary algorithms by means of desirability functions T Wagner, H Trautmann IEEE Transactions on Evolutionary Computation 14 (5), 688-701, 2010 | 149 | 2010 |
| Detecting funnel structures by means of exploratory landscape analysis P Kerschke, M Preuss, S Wessing, H Trautmann Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 125 | 2015 |
| R2-EMOA: Focused multiobjective search using R2-indicator-based selection H Trautmann, T Wagner, D Brockhoff International conference on learning and intelligent optimization, 70-74, 2013 | 121 | 2013 |
| Leveraging TSP solver complementarity through machine learning P Kerschke, L Kotthoff, J Bossek, HH Hoos, H Trautmann Evolutionary computation 26 (4), 597-620, 2018 | 118 | 2018 |
| A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem O Mersmann, B Bischl, H Trautmann, M Wagner, J Bossek, F Neumann Annals of Mathematics and Artificial Intelligence 69 (2), 151-182, 2013 | 113 | 2013 |
| 2 indicator-based multiobjective search D Brockhoff, T Wagner, H Trautmann Evolutionary computation 23 (3), 369-395, 2015 | 109 | 2015 |
| Optimizing data stream representation: An extensive survey on stream clustering algorithms M Carnein, H Trautmann Business & Information Systems Engineering 61 (3), 277-297, 2019 | 107 | 2019 |
| MO-ParamILS: A multi-objective automatic algorithm configuration framework A Blot, HH Hoos, L Jourdan, MÉ Kessaci-Marmion, H Trautmann International Conference on Learning and Intelligent Optimization, 32-47, 2016 | 105 | 2016 |
| On the distribution of the desirability index using Harrington’s desirability function H Trautmann, C Weihs Metrika 63 (2), 207-213, 2006 | 101 | 2006 |
| Improving the state of the art in inexact TSP solving using per-instance algorithm selection L Kotthoff, P Kerschke, H Hoos, H Trautmann International Conference on Learning and Intelligent Optimization, 202-217, 2015 | 87 | 2015 |
Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, and ScaDS.AIVerified email at tu-dresden.de
