Holger Hoos
Holger Hoos
Leiden University, The Netherlands & University of British Columbia, Canada
Verified email at liacs.nl - Homepage
TitleCited byYear
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
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
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
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
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
Meta-heuristics: Advances and trends in local search paradigms for optimization
S Voß, S Martello, IH Osman, C Roucairol
Springer Science & Business Media, 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
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
SATLIB: An online resource for research on SAT
HH Hoos, T Stützle
Sat 2000, 283-292, 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
Solving combinatorial auctions using stochastic local search
HH Hoos, C Boutilier
AAAI/IAAI, 22-29, 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
Automatic algorithm configuration based on local search
F Hutter, HH Hoos, T Stützle
Aaai 7, 1152-1157, 2007
Algorithm runtime prediction: Methods & evaluation
F Hutter, L Xu, HH Hoos, K Leyton-Brown
Artificial Intelligence 206, 79-111, 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
HotKnots: heuristic prediction of RNA secondary structures including pseudoknots
J Ren, B Rastegari, A Condon, HH Hoos
Rna 11 (10), 1494-1504, 2005
On the run-time behaviour of stochastic local search algorithms for SAT
HH Hoos
AAAI/IAAI, 661-666, 1999
The system can't perform the operation now. Try again later.
Articles 1–20