Pascal Kerschke

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Heike TrautmannProfessor of Machine Learning and Optimisation, Paderborn University, GermanyPreverjeni e-poštni naslov na uni-paderborn.de
Jakob BossekPaderborn UniversityPreverjeni e-poštni naslov na uni-paderborn.de
Christian GrimmeProfessor of Computational Social Science & Systems Analysis at University of Münster, GermanyPreverjeni e-poštni naslov na uni-muenster.de
Mike PreussUniversiteit LeidenPreverjeni e-poštni naslov na liacs.leidenuniv.nl
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaPreverjeni e-poštni naslov na cs.rwth-aachen.de
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichPreverjeni e-poštni naslov na stat.uni-muenchen.de
Frank NeumannOptimisation and Logistics, School of ComputerPreverjeni e-poštni naslov na adelaide.edu.au
Lennart SchäpermeierResearch Assistant, TU Dresden & ScaDS.AIPreverjeni e-poštni naslov na tu-dresden.de
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, FrancePreverjeni e-poštni naslov na mpi-inf.mpg.de
Lars KotthoffUniversity of WyomingPreverjeni e-poštni naslov na uwyo.edu
Moritz SeilerPostDoc, Machine Learning and Optimisation, Paderborn UniversityPreverjeni e-poštni naslov na uni-paderborn.de
Markus WagnerAssociate Professor of Computer Science, Monash University, AustraliaPreverjeni e-poštni naslov na monash.edu
Boris NaujoksCologne University of Applied SciencesPreverjeni e-poštni naslov na fh-koeln.de
Vanessa VolzCentrum Wiskunde & Informatica (CWI)Preverjeni e-poštni naslov na cwi.nl
Michael T.M. Emmerich (Dr. rer. nat.)Professor in Multiobjective OptimizationPreverjeni e-poštni naslov na liacs.nl
Hao WangLeiden UniversityPreverjeni e-poštni naslov na liacs.leidenuniv.nl
Raphael Patrick PragerUniversity of MünsterPreverjeni e-poštni naslov na uni-muenster.de
Joaquin VanschorenEindhoven University of TechnologyPreverjeni e-poštni naslov na tue.nl
Aneta NeumannResearcher, The University of Adelaide, AustraliaPreverjeni e-poštni naslov na adelaide.edu.au
Manuel López-IbáñezProfessor of Optimisation, Alliance Manchester Business School, University of Manchester, UKPreverjeni e-poštni naslov na manchester.ac.uk

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Pascal Kerschke

Professor of Big Data Analytics in Transportation, TU Dresden, and ScaDS.AI

Preverjeni e-poštni naslov na tu-dresden.de - Domača stran

Automated Algorithm Selection Optimization Machine Learning Data Science Exploratory Landscape


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Automated Algorithm Selection: Survey and Perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019	528	2019
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	308	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	204	2019
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	149	2020
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	139	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	105	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	99	2018
Improving the state of the art in inexact TSP solving using per-instance algorithm selection L Kotthoff, P Kerschke, H Hoos, H Trautmann Learning and Intelligent Optimization: 9th International Conference, LION 9 …, 2015	82	2015
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, 977-991, 2019	76	2019
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	67	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	64	2016
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	58	2014
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	56	2016
Towards analyzing multimodality of continuous multiobjective landscapes P Kerschke, H Wang, M Preuss, C Grimme, A Deutz, H Trautmann, ... Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016	51	2016
An expedition to multimodal multi-objective optimization landscapes P Kerschke, C Grimme Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO …, 2017	48	2017
Initial Design Strategies and their Effects on Sequential Model-Based Optimization An Exploratory Case Study Based on BBOB J Bossek, C Doerr, P Kerschke Genetic and Evolutionary Computation Conference (GECCO'20), 2020	45	2020
Modelling interventions in INGARCH processes T Liboschik, P Kerschke, K Fokianos, R Fried International Journal of Computer Mathematics 93 (4), 640-657, 2016	41	2016
An Overview of Topic Discovery in Twitter Communication through Social Media Analytics A Chinnov, P Kerschke, C Meske, S Stieglitz, H Trautmann	40	2015
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem M Seiler, J Pohl, J Bossek, P Kerschke, H Trautmann International Conference on Parallel Problem Solving from Nature, 48-64, 2020	32	2020
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	32	2019

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