Lars Kotthoff - Google Scholar Citations

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	All	Since 2014
Citations	1536	1408
h-index	15	13
i10-index	26	20

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Co-authors

Ian GentProfessor of Computer Science, St Andrews UniversityVerified email at st-andrews.ac.uk
Ian MiguelUniversity of St AndrewsVerified email at st-andrews.ac.uk
Holger HoosLeiden University, The Netherlands & University of British Columbia, CanadaVerified email at liacs.nl
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Bernd BischlHead of "Computational Statistics" Group, LMU MunichVerified email at stat.uni-muenchen.de
Peter NightingaleUniversity of YorkVerified email at york.ac.uk
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Christopher JeffersonUniversity of St AndrewsVerified email at st-andrews.ac.uk
Kevin Leyton-BrownProfessor of Computer Science, University of British Columbia; Canada CIFAR AI Chair, AmiiVerified email at cs.ubc.ca
Barry O'SullivanDirector, Insight Centre for Data Analytics; Professor, University College Cork, IrelandVerified email at insight-centre.org
Jakob RichterPh.D. Candidate, TU DortmundVerified email at statistik.tu-dortmund.de
Michel LangTU DortmundVerified email at statistik.tu-dortmund.de
Yuri MalitskyIBM ResearchVerified email at us.ibm.com
Giuseppe CasalicchioLMU MünchenVerified email at campus.lmu.de
Zachary M. JonesUniversity of WashingtonVerified email at uw.edu
Barry HurleyUniversity College CorkVerified email at 4c.ucc.ie
Tom KelseyProfessor of Health Data Science, University of St AndrewsVerified email at st-andrews.ac.uk
Pascal KerschkeUniversity of MünsterVerified email at uni-muenster.de
Marius LindauerUniversity of Freiburg/HannoverVerified email at tnt.uni-hannover.de
Alexandre FréchettePhD Student, University of British ColumbiaVerified email at cs.ubc.ca

Lars Kotthoff

University of Wyoming

Verified email at uwyo.edu - Homepage


Title	Cited by	Year
mlr: Machine Learning in R B Bischl, M Lang, L Kotthoff, J Schiffner, J Richter, E Studerus, ... The Journal of Machine Learning Research 17 (1), 5938-5942, 2016	304	2016
Algorithm selection for combinatorial search problems: A survey L Kotthoff Data Mining and Constraint Programming, 149-190, 2016	231	2016
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA L Kotthoff, C Thornton, HH Hoos, F Hutter, K Leyton-Brown The Journal of Machine Learning Research 18 (1), 826-830, 2017	206	2017
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	95	2016
An evaluation of machine learning in algorithm selection for search problems L Kotthoff, IP Gent, I Miguel AI Communications 25 (3), 257-270, 2012	91*	2012
Package ‘FSelector’ P Romanski, L Kotthoff, ML Kotthoff Repository CRAN, 2018	82*	2018
Automated Machine Learning-Methods, Systems, Challenges F Hutter, L Kotthoff, J Vanschoren Automated Machine Learning, 2019	65	2019
Proteus: A hierarchical portfolio of solvers and transformations B Hurley, L Kotthoff, Y Malitsky, B O’Sullivan International Conference on AI and OR Techniques in Constriant Programming …, 2014	49	2014
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	33	2015
Learning When to Use Lazy Learning in Constraint Solving. IP Gent, C Jefferson, L Kotthoff, I Miguel, NCA Moore, P Nightingale, ... ECAI, 873-878, 2010	33	2010
LLAMA: leveraging learning to automatically manage algorithms L Kotthoff arXiv preprint arXiv:1306.1031, 2013	32	2013
Automated symmetry breaking and model selection in Conjure O Akgun, AM Frisch, IP Gent, BS Hussain, C Jefferson, L Kotthoff, I Miguel, ... International Conference on Principles and Practice of Constraint …, 2013	24	2013
Portfolios of subgraph isomorphism algorithms L Kotthoff, C McCreesh, C Solnon International Conference on Learning and Intelligent Optimization, 107-122, 2016	22	2016
Ensemble classification for constraint solver configuration L Kotthoff, I Miguel, P Nightingale International Conference on Principles and Practice of Constraint …, 2010	18	2010
The semigroups of order 10 A Distler, C Jefferson, T Kelsey, L Kotthoff International Conference on Principles and Practice of Constraint …, 2012	15	2012
Constraint solvers: An empirical evaluation of design decisions L Kotthoff arXiv preprint arXiv:1002.0134, 2010	14	2010
The Algorithm Selection Competition Series 2015-17 M Lindauer, JN van Rijn, L Kotthoff arXiv preprint arXiv:1805.01214, 2018	13*	2018
Using the shapley value to analyze algorithm portfolios A Fréchette, L Kotthoff, T Michalak, T Rahwan, HH Hoos, K Leyton-Brown Thirtieth AAAI Conference on Artificial Intelligence, 2016	12	2016
Reliability of computational experiments on virtualised hardware L Kotthoff Journal of Experimental & Theoretical Artificial Intelligence 26 (1), 33-49, 2014	12*	2014
An automated approach to generating efficient constraint solvers D Balasubramaniam, C Jefferson, L Kotthoff, I Miguel, P Nightingale Proceedings of the 34th International Conference on Software Engineering …, 2012	12	2012

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