Holger Hoos

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Kevin Leyton-BrownProfessor, Computer Science, University of British Columbia; Canada CIFAR AI ChairAdresă de e-mail confirmată pe cs.ubc.ca
Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyAdresă de e-mail confirmată pe cs.uni-freiburg.de
Thomas StützleF.R.S.-FNRS Research Director, Université Libre de Bruxelles (ULB)Adresă de e-mail confirmată pe ulb.ac.be
Lin XuNETINT, University of British ColumbiaAdresă de e-mail confirmată pe cs.ubc.ca
Anne CondonProfessor of Computer Science, University of British ColumbiaAdresă de e-mail confirmată pe cs.ubc.ca
Craig BoutilierPrincipal Scientist, GoogleAdresă de e-mail confirmată pe google.com
Lars KotthoffUniversity of WyomingAdresă de e-mail confirmată pe uwyo.edu
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence LUH|AI, L3S ResearchAdresă de e-mail confirmată pe ai.uni-hannover.de
Dave A. D. TompkinsLecturer, Computer Science, University of WaterlooAdresă de e-mail confirmată pe uwaterloo.ca
Chris FawcettPhD Student, University of British ColumbiaAdresă de e-mail confirmată pe cs.ubc.ca
Ronen BrafmanDepartment of Computer Science, Ben-Gurion UniversityAdresă de e-mail confirmată pe cs.bgu.ac.il
Nima AghaeepourStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Ryan BrinkmanBritish Columbia Cancer AgencyAdresă de e-mail confirmată pe bccrc.ca
Jesper van EngelenAutonomous Vehicles at NVIDIA, previously Leiden University and ETH ZürichAdresă de e-mail confirmată pe liacs.nl
David PooleProfessor of Computer Science, University of British ColumbiaAdresă de e-mail confirmată pe cs.ubc.ca
Torsten SchaubUniversity of PotsdamAdresă de e-mail confirmată pe cs.uni-potsdam.de
Heike TrautmannProfessor of Machine Learning and Optimisation, Paderborn University, GermanyAdresă de e-mail confirmată pe uni-paderborn.de
Carmel DomshlakProfessor, TechnionAdresă de e-mail confirmată pe ie.technion.ac.il
Jan N. van RijnLeiden UniversityAdresă de e-mail confirmată pe liacs.leidenuniv.nl
Sam BaylessUniversity of British Columbia, Amazon Web ServicesAdresă de e-mail confirmată pe cs.ubc.ca

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Holger Hoos

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

Adresă de e-mail confirmată pe cs.rwth-aachen.de - Pagina de pornire

Artificial Intelligence Machine Learning Automated Reasoning Empirical Algorithmics Automated Algorithm Design


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
MAX–MIN ant system T Stützle, HH Hoos Future generation computer systems 16 (8), 889-914, 2000	4557	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	3445	2011
A survey on semi-supervised learning JE Van Engelen, HH Hoos Machine learning 109 (2), 373-440, 2020	2912	2020
Stochastic local search HH Hoos, T Stϋtzle Handbook of approximation algorithms and metaheuristics, 297-307, 2018	2545	2018
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	2059	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	1472	1997
ParamILS: an automatic algorithm configuration framework F Hutter, HH Hoos, K Leyton-Brown, T Stützle Journal of artificial intelligence research 36, 267-306, 2009	1322	2009
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	1279	2004
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	1199	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	1019	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	682	2013
An efficient approach for assessing hyperparameter importance F Hutter, H Hoos, K Leyton-Brown	658	2014
Algorithm runtime prediction: Methods & evaluation F Hutter, L Xu, HH Hoos, K Leyton-Brown Artificial Intelligence 206, 79-111, 2014	604	2014
Automated algorithm selection: Survey and perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019	527	2019
SATLIB: An online resource for research on SAT HH Hoos, T Stützle Sat 2000, 283-292, 2000	516	2000
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	508	1998
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), 1-5, 2013	478	2013
A research agenda for hybrid intelligence: augmenting human intellect with collaborative, adaptive, responsible, and explainable artificial intelligence Z Akata, D Balliet, M De Rijke, F Dignum, V Dignum, G Eiben, A Fokkens, ... Computer 53 (8), 18-28, 2020	421	2020
Automatic algorithm configuration based on local search F Hutter, HH Hoos, T Stützle Aaai 7, 1152-1157, 2007	412	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	389	2005

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