| 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 | 109 | 2017 |
| 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 | 56 | 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 | 55* | 2019 |
| 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 | 55 | 2015 |
| 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 | 45 | 2016 |
| A comparison of global sensitivity analysis methods for explainable AI with an application in genomic prediction B Van Stein, E Raponi, Z Sadeghi, N Bouman, RCHJ Van Ham, T Bäck IEEE Access 10, 103364-103381, 2022 | 40 | 2022 |
| Learning the characteristics of engineering optimization problems with applications in automotive crash FX Long, B van Stein, M Frenzel, P Krause, M Gitterle, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference, 1227-1236, 2022 | 34 | 2022 |
| Designing ships using constrained multi-objective efficient global optimization R de Winter, B van Stein, M Dijkman, T Bäck Machine Learning, Optimization, and Data Science: 4th International …, 2019 | 33 | 2019 |
| Evolutionary algorithms for parameter optimization—thirty years later THW Bäck, AV Kononova, B van Stein, H Wang, KA Antonov, ... Evolutionary Computation 31 (2), 81-122, 2023 | 31 | 2023 |
| 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 | 30 | 2017 |
| Multitask shape optimization using a 3-d point cloud autoencoder as unified representation T Rios, B van Stein, T Bäck, B Sendhoff, S Menzel IEEE Transactions on Evolutionary Computation 26 (2), 206-217, 2021 | 29 | 2021 |
| Bias: A toolbox for benchmarking structural bias in the continuous domain D Vermetten, B van Stein, F Caraffini, LL Minku, AV Kononova IEEE Transactions on Evolutionary Computation 26 (6), 1380-1393, 2022 | 28 | 2022 |
| 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 | 28 | 2019 |
| BBOB instance analysis: Landscape properties and algorithm performance across problem instances FX Long, D Vermetten, B van Stein, AV Kononova International Conference on the Applications of Evolutionary Computation …, 2023 | 27* | 2023 |
| 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 | 27 | 2017 |
| An incremental algorithm for repairing training sets with missing values B Van Stein, W Kowalczyk Information Processing and Management of Uncertainty in Knowledge-Based …, 2016 | 26 | 2016 |
| SAMO-COBRA: a fast surrogate assisted constrained multi-objective optimization algorithm R de Winter, B van Stein, T Bäck International conference on evolutionary multi-criterion optimization, 270-282, 2021 | 25 | 2021 |
| 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 | 25 | 2019 |
| Constrained multi-objective optimization with a limited budget of function evaluations R Winter, P Bronkhorst, B Stein, THW Bäck Memetic Computing, 151-174, 2022 | 24 | 2022 |
| 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 | 24 | 2020 |
Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayVerified email at liacs.leidenuniv.nl