Pascal Kerschke

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Heike TrautmannProfessor of Machine Learning and Optimisation, Paderborn University, GermanyPatvirtintas el. paštas uni-paderborn.de
Jakob BossekPaderborn UniversityPatvirtintas el. paštas uni-paderborn.de
Christian GrimmeProfessor of Computational Social Science & Systems Analysis at University of Münster, GermanyPatvirtintas el. paštas uni-muenster.de
Mike PreussUniversiteit LeidenPatvirtintas el. paštas liacs.leidenuniv.nl
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaPatvirtintas el. paštas cs.rwth-aachen.de
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichPatvirtintas el. paštas stat.uni-muenchen.de
Frank NeumannOptimisation and Logistics, School of ComputerPatvirtintas el. paštas adelaide.edu.au
Lennart SchäpermeierResearch Assistant, TU Dresden & ScaDS.AIPatvirtintas el. paštas tu-dresden.de
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, FrancePatvirtintas el. paštas mpi-inf.mpg.de
Lars KotthoffUniversity of WyomingPatvirtintas el. paštas uwyo.edu
Moritz SeilerPostDoc, Machine Learning and Optimisation, Paderborn UniversityPatvirtintas el. paštas uni-paderborn.de
Markus WagnerAssociate Professor of Computer Science, Monash University, AustraliaPatvirtintas el. paštas monash.edu
Michael T.M. Emmerich (Dr. rer. nat.)Professor in Multiobjective OptimizationPatvirtintas el. paštas liacs.nl
Boris NaujoksCologne University of Applied SciencesPatvirtintas el. paštas fh-koeln.de
Vanessa VolzCentrum Wiskunde & Informatica (CWI)Patvirtintas el. paštas cwi.nl
Hao WangLeiden UniversityPatvirtintas el. paštas liacs.leidenuniv.nl
Raphael Patrick PragerUniversity of MünsterPatvirtintas el. paštas uni-muenster.de
Joaquin VanschorenEindhoven University of TechnologyPatvirtintas el. paštas tue.nl
Aneta NeumannResearcher, The University of Adelaide, AustraliaPatvirtintas el. paštas adelaide.edu.au
Manuel López-IbáñezProfessor of Optimisation, Alliance Manchester Business School, University of Manchester, UKPatvirtintas el. paštas manchester.ac.uk

Stebėti

Pascal Kerschke

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

Patvirtintas el. paštas tu-dresden.de - Pagrindinis puslapis

Automated Algorithm Selection Optimization Machine Learning Data Science Exploratory Landscape


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Automated Algorithm Selection: Survey and Perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019	526	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	202	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	147	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	138	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	104	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	74	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	66	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	44	2020
Modelling interventions in INGARCH processes T Liboschik, P Kerschke, K Fokianos, R Fried International Journal of Computer Mathematics 93 (4), 640-657, 2016	40	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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