Holger Hoos

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Kevin Leyton-BrownProfessor, Computer Science, University of British Columbia; Canada CIFAR AI ChairCorreu electrònic verificat a cs.ubc.ca
Thomas StützleF.R.S.-FNRS Research Director, Université Libre de Bruxelles (ULB)Correu electrònic verificat a ulb.ac.be
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyCorreu electrònic verificat a cs.uni-freiburg.de
Lin XuUniversity of British ColumbiaCorreu electrònic verificat a cs.ubc.ca
Craig BoutilierPrincipal Scientist, GoogleCorreu electrònic verificat a google.com
Anne CondonProfessor of Computer Science, University of British ColumbiaCorreu electrònic verificat a cs.ubc.ca
Dave A. D. TompkinsLecturer, Computer Science, University of WaterlooCorreu electrònic verificat a uwaterloo.ca
Lars KotthoffUniversity of WyomingCorreu electrònic verificat a uwyo.edu
Chris FawcettPhD Student, University of British ColumbiaCorreu electrònic verificat a cs.ubc.ca
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence, L3S Research CenterCorreu electrònic verificat a ai.uni-hannover.de
Ronen BrafmanDepartment of Computer Science, Ben-Gurion UniversityCorreu electrònic verificat a cs.bgu.ac.il
David PooleProfessor of Computer Science, University of British ColumbiaCorreu electrònic verificat a cs.ubc.ca
Nima AghaeepourStanford UniversityCorreu electrònic verificat a stanford.edu
Ryan BrinkmanBritish Columbia Cancer AgencyCorreu electrònic verificat a bccrc.ca
Carmel DomshlakProfessor, TechnionCorreu electrònic verificat a ie.technion.ac.il
Torsten SchaubUniversity of PotsdamCorreu electrònic verificat a cs.uni-potsdam.de
Sam BaylessUniversity of British Columbia, Amazon Web ServicesCorreu electrònic verificat a cs.ubc.ca
Heike TrautmannProfessor of Data Science: Statistics and Optimization, Department of Information SystemsCorreu electrònic verificat a wi.uni-muenster.de
Katharina EggenspergerResearcher, University of TübingenCorreu electrònic verificat a uni-tuebingen.de
Alan J. HuProfessor of Computer Science, University of British ColumbiaCorreu electrònic verificat a cs.ubc.ca

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Holger Hoos

RWTH Aachen University, Germany • Leiden University, Netherlands • University of British Columbia

Correu electrònic verificat a cs.rwth-aachen.de - Pàgina d'inici

Artificial Intelligence Machine Learning Automated Reasoning Empirical Algorithmics Automated Algorithm Design


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
MAX–MIN ant system T Stützle, HH Hoos Future generation computer systems 16 (8), 889-914, 2000	4388	2000
Sequential model-based optimization for general algorithm configuration F Hutter, HH Hoos, K Leyton-Brown Learning and Intelligent Optimization: 5th International Conference, LION 5 …, 2011	2729	2011
Stochastic local search: Foundations and applications HH Hoos, T Stützle Elsevier, 2004	2337	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	1741	2013
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	1423	1997
A survey on semi-supervised learning JE Van Engelen, HH Hoos Machine learning 109 (2), 373-440, 2020	1381	2020
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	1206	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	1177	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	1058	2008
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	791	2017
Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, FlowCAP Consortium, Dream Consortium, ... Nature methods 10 (3), 228-238, 2013	619	2013
Algorithm runtime prediction: Methods & evaluation F Hutter, L Xu, HH Hoos, K Leyton-Brown Artificial Intelligence 206, 79-111, 2014	511	2014
Improvements on the Ant-System: Introducing the MAX-MIN Ant System GD Smith, NC Steele, RF Albrecht, T Stützle, H Hoos Artificial Neural Nets and Genetic Algorithms: Proceedings of the …, 1998	497	1998
An efficient approach for assessing hyperparameter importance F Hutter, H Hoos, K Leyton-Brown	453	2014
SATLIB: An online resource for research on SAT HH Hoos, T Stützle Sat 2000, 283-292, 2000	452	2000
Towards an empirical foundation for assessing bayesian optimization of hyperparameters K Eggensperger, M Feurer, F Hutter, J Bergstra, J Snoek, H Hoos, ... NIPS workshop on Bayesian Optimization in Theory and Practice 10 (3), 2013	401	2013
Automatic algorithm configuration based on local search F Hutter, HH Hoos, T Stützle Aaai 7, 1152-1157, 2007	387	2007
An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problem A Shmygelska, HH Hoos BMC bioinformatics 6, 1-22, 2005	370	2005
Reasoning With Conditional Ceteris Paribus Preference Statements. C Boutilier, RI Brafman, HH Hoos, D Poole UAI 99, 71-80, 1999	362	1999
Solving combinatorial auctions using stochastic local search HH Hoos, C Boutilier Aaai/iaai, 22-29, 2000	345	2000

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