Pascal Kerschke

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Heike TrautmannProfessor of Data Science: Statistics and Optimization, Department of Information SystemsVerified email at wi.uni-muenster.de
Jakob BossekWestfälische Wilhelms Universität MünsterVerified email at wi.uni-muenster.de
Mike PreussUniversiteit LeidenVerified email at liacs.leidenuniv.nl
Holger HoosLeiden University, The Netherlands & University of British Columbia, CanadaVerified email at liacs.nl
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Lars KotthoffUniversity of WyomingVerified email at uwyo.edu
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Michael EmmerichAssociate Professor, LIACS, Leiden University & Jyväskyla University, Visiting ResearcherVerified email at liacs.nl
Hao WangAssistant Professor in Leiden UniversityVerified email at liacs.leidenuniv.nl
Marius LindauerLeibniz University Hannover (Germany)Verified email at tnt.uni-hannover.de
Yuri MalitskyIBM ResearchVerified email at us.ibm.com
Kevin TierneyBielefeld UniversityVerified email at uni-bielefeld.de
Kevin Leyton-BrownProfessor of Computer Science, University of British Columbia; Canada CIFAR AI Chair, AmiiVerified email at cs.ubc.ca
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Alexandre FréchettePhD Student, University of British ColumbiaVerified email at cs.ubc.ca
Oliver SchutzeCINVESTAV-IPNVerified email at cs.cinvestav.mx
Carlos Ignacio Hernández CastellanosMutuo FinancieraVerified email at computacion.cs.cinvestav.mx
Giuseppe CasalicchioPostdoctoral Researcher, LMU Munich, Munich Center for Machine LearningVerified email at campus.lmu.de
Michel LangTU Dortmund; LMU MunichVerified email at statistik.tu-dortmund.de
Benjamin HofnerHead of Section Biostatistics, Paul-Ehrlich-InstituteVerified email at pei.de

Pascal Kerschke

Professor of Big Data Analytics in Transportation, TU Dresden, Germany

Verified email at tu-dresden.de - Homepage

Automated Algorithm Selection Optimization Machine Learning Data Science Exploratory Landscape Analysis


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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	151	2016
Automated Algorithm Selection: Survey and Perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019	117	2019
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	55	2019
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	46	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	44	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	42	2014
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 34 (3), 977-991, 2019	35	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	32	2016
Comprehensive feature-based landscape analysis of continuous and constrained optimization problems using the R-package flacco P Kerschke, H Trautmann Applications in Statistical Computing, 93-123, 2019	28	2019
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	28	2016
Leveraging TSP solver complementarity through machine learning P Kerschke, L Kotthoff, J Bossek, HH Hoos, H Trautmann Evolutionary computation 26 (4), 597-620, 2018	27	2018
An Expedition to Multimodal Multi-objective Optimization Landscapes P Kerschke, C Grimme International Conference on Evolutionary Multi-Criterion Optimization, 329-343, 2017	22	2017
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	20	2016
Modelling interventions in INGARCH processes T Liboschik, P Kerschke, K Fokianos, R Fried International Journal of Computer Mathematics 93 (4), 640-657, 2016	19	2016
flacco: Feature-based landscape analysis of continuous and constrained optimization problems P Kerschke, J Dagefoerde R-package version 1, 2017	14	2017
Search Dynamics on Multimodal Multiobjective Problems P Kerschke, H Wang, M Preuss, C Grimme, AH Deutz, H Trautmann, ... Evolutionary computation 27 (4), 577-609, 2019	13	2019
Single-and multi-objective game-benchmark for evolutionary algorithms V Volz, B Naujoks, P Kerschke, T Tušar Proceedings of the Genetic and Evolutionary Computation Conference, 647-655, 2019	13	2019
An Overview of Topic Discovery in Twitter Communication through Social Media Analytics A Chinnov, P Kerschke, C Meske, S Stieglitz, H Trautmann	13	2015
Benchmarking in Optimization: Best Practice and Open Issues T Bartz-Beielstein, C Doerr, J Bossek, S Chandrasekaran, T Eftimov, ... arXiv preprint arXiv:2007.03488, 2020	12	2020
Evolving diverse TSP instances by means of novel and creative mutation operators J Bossek, P Kerschke, A Neumann, M Wagner, F Neumann, H Trautmann Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic …, 2019	11	2019

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