| Aslib: A benchmark library for algorithm selection B Bischl, P Kerschke, L Kotthoff, M Lindauer, Y Malitsky, A Fréchette, ... Artificial Intelligence 237, 41-58, 2016 | 86 | 2016 |
| 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 | 32 | 2015 |
| 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 | 32 | 2015 |
| Cell mapping techniques for exploratory landscape analysis P Kerschke, M Preuss, C Hernández, O Schütze, JQ Sun, C Grimme, ... EVOLVE-A Bridge between Probability, Set Oriented Numerics, and Evolutionary …, 2014 | 24 | 2014 |
| Automated Algorithm Selection: Survey and Perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019 | 22 | 2019 |
| Low-budget exploratory landscape analysis on multiple peaks models P Kerschke, M Preuss, S Wessing, H Trautmann Proceedings of the Genetic and Evolutionary Computation Conference 2016, 229-236, 2016 | 20 | 2016 |
| OpenML: An R package to connect to the machine learning platform OpenML G Casalicchio, J Bossek, M Lang, D Kirchhoff, P Kerschke, B Hofner, ... Computational Statistics, 1-15, 2017 | 19 | 2017 |
| Towards Analyzing Multimodality of Continuous Multiobjective Landscapes P Kerschke, H Wang, M Preuss, C Grimme, A Deutz, H Trautmann, ... International Conference on Parallel Problem Solving from Nature, 962-972, 2016 | 18 | 2016 |
| 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 | 16 | 2019 |
| An Expedition to Multimodal Multi-objective Optimization Landscapes P Kerschke, C Grimme International Conference on Evolutionary Multi-Criterion Optimization, 329-343, 2017 | 13 | 2017 |
| Modelling interventions in INGARCH processes T Liboschik, P Kerschke, K Fokianos, R Fried International Journal of Computer Mathematics 93 (4), 640-657, 2016 | 13 | 2016 |
| The R-Package FLACCO for exploratory landscape analysis with applications to multi-objective optimization problems P Kerschke, H Trautmann 2016 IEEE Congress on Evolutionary Computation (CEC), 5262-5269, 2016 | 12 | 2016 |
| flacco: Feature-Based Landscape Analysis of Continuous and Constraint Optimization Problems P Kerschke, J Dagefoerde R package version 1, 2015 | 12 | 2015 |
| Leveraging TSP solver complementarity through machine learning P Kerschke, L Kotthoff, J Bossek, HH Hoos, H Trautmann Evolutionary computation 26 (4), 597-620, 2018 | 9 | 2018 |
| Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco P Kerschke arXiv preprint arXiv:1708.05258, 2017 | 9 | 2017 |
| Search Dynamics on Multimodal Multiobjective Problems P Kerschke, H Wang, M Preuss, C Grimme, AH Deutz, H Trautmann, ... Evolutionary computation, 1-33, 2018 | 7 | 2018 |
| Averaged Hausdorff approximations of pareto fronts based on multiobjective estimation of distribution algorithms L Martí, C Grimme, P Kerschke, H Trautmann, G Rudolph Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 7 | 2015 |
| flaccogui: exploratory landscape analysis for everyone C Hanster, P Kerschke Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 6 | 2017 |
| An Overview of Topic Discovery in Twitter Communication through Social Media Analytics A Chinnov, P Kerschke, C Meske, S Stieglitz, H Trautmann | 6 | 2015 |
| Automated and Feature-Based Problem Characterization and Algorithm Selection Through Machine Learning P Kerschke Universitäts-und Landesbibliothek Münster, 2018 | 4 | 2018 |
Heike TrautmannProfessor of Statistics, Department of Information Systems, University of Münster, GermanyVerified email at wi.uni-muenster.de