Holger Hoos
Holger Hoos
Leiden University, The Netherlands & University of British Columbia, Canada
Verified email at liacs.nl - Homepage
Cited by
Cited by
MAX–MIN ant system
T Stützle, HH Hoos
Future generation computer systems 16 (8), 889-914, 2000
Stochastic local search: Foundations and applications
HH Hoos, T Stützle
Elsevier, 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
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
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
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
ParamILS: an automatic algorithm configuration framework
F Hutter, HH Hoos, K Leyton-Brown, T Stützle
Journal of Artificial Intelligence Research 36, 267-306, 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
Meta-heuristics: Advances and trends in local search paradigms for optimization
S Voß, S Martello, IH Osman, C Roucairol
Springer Science & Business Media, 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
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
Improvements on the Ant-System: Introducing the MAX-MIN Ant System
T Stützle, H Hoos
Artificial neural nets and genetic algorithms, 245-249, 1998
Algorithm runtime prediction: Methods & evaluation
F Hutter, L Xu, HH Hoos, K Leyton-Brown
Artificial Intelligence 206, 79-111, 2014
SATLIB: An online resource for research on SAT
HH Hoos, T Stützle
Sat 2000, 283-292, 2000
A survey on semi-supervised learning
JE Van Engelen, HH Hoos
Machine Learning 109 (2), 373-440, 2020
An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problem
A Shmygelska, HH Hoos
BMC bioinformatics 6 (1), 1-22, 2005
Automatic algorithm configuration based on local search
F Hutter, HH Hoos, T Stützle
Aaai 7, 1152-1157, 2007
Reasoning With Conditional Ceteris Paribus Preference Statements.
C Boutilier, RI Brafman, HH Hoos, D Poole
UAI 99, 71-80, 1999
Solving combinatorial auctions using stochastic local search
HH Hoos, C Boutilier
Aaai/iaai, 22-29, 2000
RNA STRAND: the RNA secondary structure and statistical analysis database
M Andronescu, V Bereg, HH Hoos, A Condon
BMC bioinformatics 9 (1), 1-10, 2008
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