Heike Trautmann

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Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, and ScaDS.AI確認したメールアドレス: tu-dresden.de
Christian GrimmeProfessor of Computational Social Science & Systems Analysis at University of Münster, Germany確認したメールアドレス: uni-muenster.de
Olaf MersmannTH Köln確認したメールアドレス: p-value.net
Mike PreussUniversiteit Leiden確認したメールアドレス: liacs.leidenuniv.nl
Günter RudolphProfessor in Computer Science, TU Dortmund University確認したメールアドレス: tu-dortmund.de
Jakob BossekPaderborn University確認したメールアドレス: uni-paderborn.de
Bernd BischlChair of Statistical Learning and Data Science, LMU Munich確認したメールアドレス: stat.uni-muenchen.de
Tobias WagnerInstitute of Machining Technology (ISF), TU Dortmund確認したメールアドレス: isf.de
Oliver SchutzeCINVESTAV-IPN確認したメールアドレス: cs.cinvestav.mx
Frank NeumannOptimisation and Logistics, School of Computer確認したメールアドレス: adelaide.edu.au
Dennis AssenmacherGESIS - Leibniz Institute for the Social Sciences確認したメールアドレス: gesis.org
Dr Jorn MehnenProfessor at the University of Strathclyde確認したメールアドレス: strath.ac.uk
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British Columbia確認したメールアドレス: cs.rwth-aachen.de
Moritz SeilerPostDoc, Machine Learning and Optimisation, Paderborn University確認したメールアドレス: uni-paderborn.de
Michael T.M. Emmerich (Dr. rer. nat.)Professor in Multiobjective Optimization確認したメールアドレス: liacs.nl
Boris NaujoksCologne University of Applied Sciences確認したメールアドレス: fh-koeln.de
Raphael Patrick PragerUniversity of Münster確認したメールアドレス: uni-muenster.de
Dimo BrockhoffInria, Ecole Polytechnique, Institut Polytechnique de Paris確認したメールアドレス: inria.fr
Markus WagnerAssociate Professor of Computer Science, Monash University, Australia確認したメールアドレス: monash.edu
Hao WangLeiden University確認したメールアドレス: liacs.leidenuniv.nl

フォロー

Heike Trautmann

Professor of Machine Learning and Optimisation, Paderborn University, Germany

確認したメールアドレス: uni-paderborn.de - ホームページ

Evolutionary Computation Multiobjective Optimization Algorithm Selection and Configuration AI


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Automated algorithm selection: Survey and perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019	528	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	439	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	253	2012
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	223	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	210	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	204	2019
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	183	2012
Benchmarking evolutionary algorithms: Towards exploratory landscape analysis O Mersmann, M Preuss, H Trautmann Parallel Problem Solving from Nature, PPSN XI: 11th International Conference …, 2010	154	2010
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	144	2020
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	143	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	139	2019
R2-EMOA: Focused multiobjective search using R2-indicator-based selection H Trautmann, T Wagner, D Brockhoff Learning and Intelligent Optimization: 7th International Conference, LION 7 …, 2013	115	2013
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
2 indicator-based multiobjective search D Brockhoff, T Wagner, H Trautmann Evolutionary computation 23 (3), 369-395, 2015	102	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
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, 151-182, 2013	99	2013
On the distribution of the desirability index using Harrington’s desirability function H Trautmann, C Weihs Metrika 63, 207-213, 2006	99	2006
Optimizing data stream representation: An extensive survey on stream clustering algorithms M Carnein, H Trautmann Business & Information Systems Engineering 61, 277-297, 2019	96	2019
MO-ParamILS: A multi-objective automatic algorithm configuration framework A Blot, HH Hoos, L Jourdan, MÉ Kessaci-Marmion, H Trautmann Learning and Intelligent Optimization: 10th International Conference, LION …, 2016	84	2016
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

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