Bas van Stein
Title
Cited by
Cited by
Year
Optimally weighted cluster kriging for big data regression
B van Stein, H Wang, W Kowalczyk, T Bäck, M Emmerich
International Symposium on Intelligent Data Analysis, 310-321, 2015
252015
A new acquisition function for Bayesian optimization based on the moment-generating function
H Wang, B van Stein, M Emmerich, T Back
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
202017
Algorithm configuration data mining for cma evolution strategies
S van Rijn, H Wang, B van Stein, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 737-744, 2017
172017
An incremental algorithm for repairing training sets with missing values
B van Stein, W Kowalczyk
International Conference on Information Processing and Management of …, 2016
162016
Local subspace-based outlier detection using global neighbourhoods
B Van Stein, M Van Leeuwen, T Bäck
2016 IEEE International Conference on Big Data (Big Data), 1136-1142, 2016
132016
Time complexity reduction in efficient global optimization using cluster kriging
H Wang, B van Stein, M Emmerich, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 889-896, 2017
122017
Automatic configuration of deep neural networks with EGO
B van Stein, H Wang, T Bäck
arXiv preprint arXiv:1810.05526, 2018
112018
Towards data driven process control in manufacturing car body parts
B Van Stein, M Van Leeuwen, H Wang, S Purr, S Kreissl, J Meinhardt, ...
2016 International Conference on Computational Science and Computational …, 2016
92016
Cluster-based Kriging approximation algorithms for complexity reduction
B Van Stein, H Wang, W Kowalczyk, M Emmerich, T Bäck
Applied Intelligence 50 (3), 778-791, 2020
52020
Fitness landscape analysis of nk landscapes and vehicle routing problems by expanded barrier trees
B Van Stein, M Emmerich, Z Yang
EVOLVE-A Bridge between Probability, Set Oriented Numerics, and Evolutionary …, 2013
52013
Fuzzy clustering for optimally weighted cluster kriging
B van Stein, H Wang, W Kowalczyk, M Emmerich, T Bäck
2016 IEEE international conference on fuzzy systems (FUZZ-IEEE), 939-945, 2016
42016
Designing Ships Using Constrained Multi-objective Efficient Global Optimization
R de Winter, B van Stein, M Dijkman, T Bäck
International Conference on Machine Learning, Optimization, and Data Science …, 2018
32018
A framework for evaluating meta-models for simulation-based optimisation
P Van Heiningen, B van Stein, T Bäck
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
22016
Analysis and visualization of missing value patterns
B van Stein, W Kowalczyk, T Bäck
International conference on information processing and management of …, 2016
22016
A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling
Y Wang, B van Stein, M Emmerich, T Bäck
arXiv preprint arXiv:2004.06564, 2020
12020
A new approach towards the combined algorithm selection and hyper-parameter optimization problem
X Guo, B van Stein, T Bäck
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2042-2049, 2019
12019
On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization
T Rios, B Sendhoff, S Menzel, T Bäck, B van Stein
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 791-798, 2019
12019
Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization
B van Stein, H Wang, T Bäck
2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019
12019
A Novel Uncertainty Quantification Method for Efficient Global Optimization
B van Stein, H Wang, W Kowalczyk, T Bäck
International Conference on Information Processing and Management of …, 2018
12018
Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search
Y Wang, B van Stein, T Bäck, M Emmerich
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
2020
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