| 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 | 38 | 2017 |
| 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 | 36 | 2015 |
| 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 | 23 | 2020 |
| 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 | 23* | 2019 |
| 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 | 20 | 2016 |
| 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 | 18 | 2017 |
| An incremental algorithm for repairing training sets with missing values B van Stein, W Kowalczyk International Conference on Information Processing and Management of …, 2016 | 17 | 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 | 14 | 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 | 11 | 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 | 10 | 2018 |
| 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 | 8 | 2013 |
| 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 | 7 | 2019 |
| 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 | 6 | 2016 |
| Feature visualization for 3d point cloud autoencoders T Rios, B van Stein, S Menzel, T Back, B Sendhoff, P Wollstadt 2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020 | 5 | 2020 |
| 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 | 3 | 2019 |
| 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 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1367-1374, 2019 | 3 | 2019 |
| Emergence of Structural Bias in Differential Evolution B van Stein, F Caraffini, AV Kononova arXiv preprint arXiv:2105.04693, 2021 | 2 | 2021 |
| A Tailored NSGA-III for Multi-objective Flexible Job Shop Scheduling Y Wang, B van Stein, T Bäck, M Emmerich 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2746-2753, 2020 | 2* | 2020 |
| 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 | 2 | 2018 |
| 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 |
Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayVerified email at liacs.leidenuniv.nl
