Heike Trautmann

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Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, and ScaDS.AIPatvirtintas el. paštas tu-dresden.de
Christian GrimmeProfessor of Computational Social Science & Systems Analysis at University of Münster, GermanyPatvirtintas el. paštas uni-muenster.de
Olaf MersmannTH KölnPatvirtintas el. paštas p-value.net
Mike PreussUniversiteit LeidenPatvirtintas el. paštas liacs.leidenuniv.nl
Günter RudolphProfessor in Computer Science, TU Dortmund UniversityPatvirtintas el. paštas tu-dortmund.de
Jakob BossekPaderborn UniversityPatvirtintas el. paštas uni-paderborn.de
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichPatvirtintas el. paštas stat.uni-muenchen.de
Tobias WagnerInstitute of Machining Technology (ISF), TU DortmundPatvirtintas el. paštas isf.de
Oliver SchutzeCINVESTAV-IPNPatvirtintas el. paštas cs.cinvestav.mx
Frank NeumannOptimisation and Logistics, School of ComputerPatvirtintas el. paštas adelaide.edu.au
Dennis AssenmacherGESIS - Leibniz Institute for the Social SciencesPatvirtintas el. paštas gesis.org
Dr Jorn MehnenProfessor at the University of StrathclydePatvirtintas el. paštas strath.ac.uk
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaPatvirtintas el. paštas cs.rwth-aachen.de
Moritz SeilerPostDoc, Machine Learning and Optimisation, Paderborn UniversityPatvirtintas el. paštas uni-paderborn.de
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
Raphael Patrick PragerUniversity of MünsterPatvirtintas el. paštas uni-muenster.de
Dimo BrockhoffInria, Ecole Polytechnique, Institut Polytechnique de ParisPatvirtintas el. paštas inria.fr
Markus WagnerAssociate Professor of Computer Science, Monash University, AustraliaPatvirtintas el. paštas monash.edu
Hao WangLeiden UniversityPatvirtintas el. paštas liacs.leidenuniv.nl

Stebėti

Heike Trautmann

Professor of Machine Learning and Optimisation, Paderborn University, Germany

Patvirtintas el. paštas uni-paderborn.de - Pagrindinis puslapis

Evolutionary Computation Multiobjective Optimization Algorithm Selection and Configuration AI


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
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	437	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	252	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	202	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	182	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	153	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	143	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	138	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	104	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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