متابعة
Holger Hoos
Holger Hoos
RWTH Aachen University, Germany • Leiden University, Netherlands • University of British Columbia
بريد إلكتروني تم التحقق منه على cs.rwth-aachen.de - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
MAX–MIN ant system‏
T Stützle, HH Hoos‏
Future generation computer systems 16 (8), 889-914, 2000‏
45492000
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
34382011
A survey on semi-supervised learning‏
JE Van Engelen, HH Hoos‏
Machine learning 109 (2), 373-440, 2020‏
28912020
Stochastic local search‏
HH Hoos, T Stϋtzle‏
Handbook of approximation algorithms and metaheuristics, 297-307, 2018‏
25412018
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
20532013
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
14701997
ParamILS: an automatic algorithm configuration framework‏
F Hutter, HH Hoos, K Leyton-Brown, T Stützle‏
Journal of artificial intelligence research 36, 267-306, 2009‏
13212009
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
12792004
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
11972008
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
10152017
Critical assessment of automated flow cytometry data analysis techniques‏
N Aghaeepour, G Finak, FlowCAP Consortium, Dream Consortium, ...‏
Nature methods 10 (3), 228-238, 2013‏
6802013
An efficient approach for assessing hyperparameter importance‏
F Hutter, H Hoos, K Leyton-Brown‏
6562014
Algorithm runtime prediction: Methods & evaluation‏
F Hutter, L Xu, HH Hoos, K Leyton-Brown‏
Artificial Intelligence 206, 79-111, 2014‏
6012014
Automated algorithm selection: Survey and perspectives‏
P Kerschke, HH Hoos, F Neumann, H Trautmann‏
Evolutionary computation 27 (1), 3-45, 2019‏
5252019
SATLIB: An online resource for research on SAT‏
HH Hoos, T Stützle‏
Sat 2000, 283-292, 2000‏
5162000
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
5081998
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
4782013
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
4172020
Automatic algorithm configuration based on local search‏
F Hutter, HH Hoos, T Stützle‏
Aaai 7, 1152-1157, 2007‏
4112007
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
3882005
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مقالات 1–20