Holger Hoos - Google Scholar Citations

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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 LindauerUniversity of Freiburg/HannoverVerified email at tnt.uni-hannover.de
Ryan BrinkmanBritish Columbia Cancer AgencyVerified email at bccrc.ca
Lars KotthoffUniversity of WyomingVerified email at uwyo.edu
Nima AghaeepourStanford UniversityVerified email at stanford.edu
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
Dan Tulpan, Assistant ProfessorDepartment of Animal Biosciences, University of Guelph, ABScBG, FAC, CGILVerified email at uoguelph.ca

Holger Hoos

Professor of Computer Science, Leiden University & University of British Columbia

Verified email at cs.ubc.ca - Homepage

Artificial Intelligence Machine Learning Automated Reasoning Empirical Algorithmics Automated Algorithm Design


Title	Cited by	Year
MAX–MIN ant system T Stützle, HH Hoos Future generation computer systems 16 (8), 889-914, 2000	3605	2000
Stochastic local search: Foundations and applications HH Hoos, T Stützle Elsevier, 2004	1849	2004
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	1186	1997
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	1058	2011
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	1050	2004
ParamILS: an automatic algorithm configuration framework F Hutter, HH Hoos, K Leyton-Brown, T Stützle Journal of Artificial Intelligence Research 36, 267-306, 2009	752	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	722	2008
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	665	2013
Meta-heuristics: Advances and trends in local search paradigms for optimization S Voß, S Martello, IH Osman, C Roucairol Springer Science & Business Media, 2012	579*	2012
Improvements on the Ant-System: Introducing the MAX-MIN Ant System T Stützle, H Hoos Artificial neural nets and genetic algorithms, 245-249, 1998	438	1998
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, 2013	409	2013
SATLIB: An online resource for research on SAT HH Hoos, T Stützle Sat 2000, 283-292, 2000	360	2000
Reasoning with conditional ceteris paribus preference statements C Boutilier, RI Brafman, HH Hoos, D Poole Proceedings of the Fifteenth conference on Uncertainty in artificial …, 1999	336	1999
Solving combinatorial auctions using stochastic local search HH Hoos, C Boutilier AAAI/IAAI, 22-29, 2000	308	2000
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	307	2005
Automatic algorithm configuration based on local search F Hutter, HH Hoos, T Stützle Aaai 7, 1152-1157, 2007	283	2007
Algorithm runtime prediction: Methods & evaluation F Hutter, L Xu, HH Hoos, K Leyton-Brown Artificial Intelligence 206, 79-111, 2014	269	2014
RNA STRAND: the RNA secondary structure and statistical analysis database M Andronescu, V Bereg, HH Hoos, A Condon BMC bioinformatics 9 (1), 340, 2008	246	2008
HotKnots: heuristic prediction of RNA secondary structures including pseudoknots J Ren, B Rastegari, A Condon, HH Hoos Rna 11 (10), 1494-1504, 2005	245	2005
On the run-time behaviour of stochastic local search algorithms for SAT HH Hoos AAAI/IAAI, 661-666, 1999	231	1999

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