| 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 | 17 | 2015 |
| 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 | 12 | 2017 |
| 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 | 10 | 2016 |
| An incremental algorithm for repairing training sets with missing values B van Stein, W Kowalczyk International Conference on Information Processing and Management of …, 2016 | 10 | 2016 |
| 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 | 9 | 2017 |
| 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 | 9 | 2017 |
| 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 | 6 | 2016 |
| Automatic configuration of deep neural networks with EGO B van Stein, H Wang, T Bäck arXiv preprint arXiv:1810.05526, 2018 | 4 | 2018 |
| Cluster-based Kriging approximation algorithms for complexity reduction B van Stein, H Wang, W Kowalczyk, M Emmerich, T Bäck arXiv preprint arXiv:1702.01313, 2017 | 4 | 2017 |
| 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 | 4 | 2016 |
| 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 | 3 | 2013 |
| 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 | 2 | 2016 |
| Analysis and Visualization of Missing Value Patterns B van Stein, W Kowalczyk, T Bäck International Conference on Information Processing and Management of …, 2016 | 2 | 2016 |
| 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 | 1 | 2018 |
| 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 | 1 | 2018 |
| 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 | | 2019 |
| A multi-method simulation of a high-frequency bus line T van der Spek, B van Stein, M van der Holst, T Bäck 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | | 2017 |
| Opleiding Informatica B van Stein | | 2011 |
| On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization T Rios, T Bäck, B van Stein, B Sendhoff, S Menzel | | |
| Scalability of Learning Tasks on 3D CAE Models using Point Cloud Autoencoders T Rios, P Wollstadt, B van Stein, T Bäck, Z Xu, B Sendhoff, S Menzel | | |
Thomas BäckProfessor of Computer Science, Leiden UniversityVerified email at liacs.leidenuniv.nl
