Holger Hoos - Google Scholar

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Citations	26812	11771
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Thomas StützleF.R.S.-FNRS Research Director, Université Libre de Bruxelles (ULB)Verified email at ulb.ac.be
Kevin Leyton-BrownProfessor of Computer Science, University of British Columbia; Canada CIFAR AI Chair, AmiiVerified email at cs.ubc.ca
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Lin XuUniversity of British ColumbiaVerified email at cs.ubc.ca
Craig BoutilierPrincipal Scientist, GoogleVerified email at google.com
Anne CondonProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Dave A. D. TompkinsLecturer, Computer Science, University of WaterlooVerified email at uwaterloo.ca
Ronen BrafmanDepartment of Computer Science, Ben-Gurion UniversityVerified email at cs.bgu.ac.il
Chris FawcettPhD Student, University of British ColumbiaVerified email at cs.ubc.ca
David PooleProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Marius LindauerLeibniz University Hannover (Germany)Verified email at tnt.uni-hannover.de
Lars KotthoffUniversity of WyomingVerified email at uwyo.edu
Nima AghaeepourStanford UniversityVerified email at stanford.edu
Ryan BrinkmanBritish Columbia Cancer AgencyVerified email at bccrc.ca
Carmel DomshlakProfessor, TechnionVerified email at ie.technion.ac.il
Torsten SchaubUniversity of PotsdamVerified email at cs.uni-potsdam.de
Jürgen KilianKilian IT-Consulting, Darmstadt University of TechnologyVerified email at noteserver.org
Alan J. HuProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Kevin MurphyResearch Scientist, GoogleVerified email at google.com
Katharina EggenspergerPhD Student, Machine Learning Lab, University of FreiburgVerified email at informatik.uni-freiburg.de

Holger Hoos

Leiden University, The Netherlands & University of British Columbia, Canada

Verified email at liacs.nl - Homepage

Artificial Intelligence Machine Learning Automated Reasoning Empirical Algorithmics Automated Algorithm Design


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
MAX–MIN ant system T Stützle, HH Hoos Future generation computer systems 16 (8), 889-914, 2000	3810	2000
Stochastic local search: Foundations and applications HH Hoos, T Stützle Elsevier, 2004	1960	2004
Sequential model-based optimization for general algorithm configuration F Hutter, HH Hoos, K Leyton-Brown International conference on learning and intelligent optimization, 507-523, 2011	1424	2011
MAX-MIN ant system and local search for the traveling salesman problem T Stutzle, H Hoos IEEE International Conference on Evolutionary Computation 1997, 309-314, 1997	1246	1997
CP-nets: A tool for representing and reasoning withconditional ceteris paribus preference statements C Boutilier, RI Brafman, C Domshlak, HH Hoos, D Poole Journal of artificial intelligence research 21, 135-191, 2004	1109	2004
Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms C Thornton, F Hutter, HH Hoos, K Leyton-Brown Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	904	2013
ParamILS: an automatic algorithm configuration framework F Hutter, HH Hoos, K Leyton-Brown, T Stützle Journal of Artificial Intelligence Research 36, 267-306, 2009	845	2009
SATzilla: portfolio-based algorithm selection for SAT L Xu, F Hutter, HH Hoos, K Leyton-Brown Journal of artificial intelligence research 32, 565-606, 2008	795	2008
Meta-heuristics: Advances and trends in local search paradigms for optimization S Voß, S Martello, IH Osman, C Roucairol Springer Science & Business Media, 2012	631*	2012
Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, H Hoos, TR Mosmann, R Brinkman, R Gottardo, ... Nature methods 10 (3), 228-238, 2013	458	2013
Improvements on the Ant-System: Introducing the MAX-MIN Ant System T Stützle, H Hoos Artificial neural nets and genetic algorithms, 245-249, 1998	437	1998
SATLIB: An online resource for research on SAT HH Hoos, T Stützle Sat 2000, 283-292, 2000	379	2000
Reasoning With Conditional Ceteris Paribus Preference Statements. C Boutilier, RI Brafman, HH Hoos, D Poole UAI 99, 71-80, 1999	338	1999
An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problem A Shmygelska, HH Hoos BMC bioinformatics 6 (1), 30, 2005	327	2005
Algorithm runtime prediction: Methods & evaluation F Hutter, L Xu, HH Hoos, K Leyton-Brown Artificial Intelligence 206, 79-111, 2014	325	2014
Solving combinatorial auctions using stochastic local search HH Hoos, C Boutilier Aaai/iaai, 22-29, 2000	322	2000
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA L Kotthoff, C Thornton, HH Hoos, F Hutter, K Leyton-Brown Journal of Machine Learning Research 18, 1-5, 2017	312	2017
Automatic algorithm configuration based on local search F Hutter, HH Hoos, T Stützle Aaai 7, 1152-1157, 2007	306	2007
RNA STRAND: the RNA secondary structure and statistical analysis database M Andronescu, V Bereg, HH Hoos, A Condon BMC bioinformatics 9 (1), 340, 2008	271	2008
HotKnots: heuristic prediction of RNA secondary structures including pseudoknots J Ren, B Rastegari, A Condon, HH Hoos Rna 11 (10), 1494-1504, 2005	254	2005

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