Lars Kotthoff - Google Scholar Citations

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Citations	1759	1544
h-index	15	15
i10-index	26	19

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Co-authors

Ian GentProfessor of Computer Science, St Andrews UniversityVerified email at st-andrews.ac.uk
Holger HoosLeiden University, The Netherlands & University of British Columbia, CanadaVerified email at liacs.nl
Ian MiguelUniversity of St AndrewsVerified email at st-andrews.ac.uk
Bernd BischlHead of "Computational Statistics" Group, LMU MunichVerified email at stat.uni-muenchen.de
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Peter NightingaleUniversity of YorkVerified email at york.ac.uk
Christopher JeffersonUniversity of St AndrewsVerified email at st-andrews.ac.uk
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
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
Giuseppe CasalicchioLMU MünchenVerified email at campus.lmu.de
Yuri MalitskyIBM ResearchVerified email at us.ibm.com
Zachary M. JonesUniversity of WashingtonVerified email at uw.edu
Barry HurleyUniversity College CorkVerified email at 4c.ucc.ie
Marius LindauerLeibniz University Hannover (Germany)Verified email at tnt.uni-hannover.de
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
Alexandre FréchettePhD Student, University of British ColumbiaVerified email at cs.ubc.ca

Lars Kotthoff

University of Wyoming

Verified email at uwyo.edu - Homepage


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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	351	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	270	2017
Algorithm selection for combinatorial search problems: A survey L Kotthoff Data Mining and Constraint Programming, 149-190, 2016	246	2016
Automated Machine Learning F Hutter, L Kotthoff, J Vanschoren Springer: New York, NY, USA, 2019	116	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	104	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	95*	2012
Package ‘FSelector’ P Romanski, L Kotthoff, ML Kotthoff R Package Documentation, 18, 2018	88*	2018
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	37	2015
LLAMA: leveraging learning to automatically manage algorithms L Kotthoff arXiv preprint arXiv:1306.1031, 2013	33	2013
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
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	27	2013
Portfolios of subgraph isomorphism algorithms L Kotthoff, C McCreesh, C Solnon International Conference on Learning and Intelligent Optimization, 107-122, 2016	24	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 Algorithm Selection Competition Series 2015-17 M Lindauer, JN van Rijn, L Kotthoff arXiv preprint arXiv:1805.01214, 2018	15*	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	15	2016
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	15	2010
Leveraging TSP solver complementarity through machine learning P Kerschke, L Kotthoff, J Bossek, HH Hoos, H Trautmann Evolutionary computation 26 (4), 597-620, 2018	13	2018
The ICON challenge on algorithm selection L Kotthoff, B Hurley, B O'Sullivan AI Magazine 38 (2), 91-93, 2017	13	2017

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