| 2023 | GECCO | DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis. | Bas van Stein, Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bck |
| 2023 | GECCO | Deep BIAS: Detecting Structural Bias using Explainable AI. | Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova |
| 2022 | GECCO | Learning the characteristics of engineering optimization problems with applications in automotive crash. | Fu Xing Long, Bas van Stein, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bck |
| 2022 | GECCO | Using structural bias to analyse the behaviour of modular CMA-ES. | Diederick Vermetten, Fabio Caraffini, Bas van Stein, Anna V. Kononova |
| 2022 | GECCO | Multi-point acquisition function for constraint parallel efficient multi-objective optimization. | Roy de Winter, Bas van Stein, Thomas Bck |
| 2021 | ANT | Requirements towards optimizing analytics in industrial processes. | Alexander Zeiser, Bas van Stein, Thomas Bck |
| 2021 | CEC | Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders. | Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bck, Bernhard Sendhoff, Stefan Menzel |
| 2021 | EMO | SAMO-COBRA: A Fast Surrogate Assisted Constrained Multi-objective Optimization Algorithm. | Roy de Winter, Bas van Stein, Thomas Bck |
| 2021 | GECCO | Emergence of structural bias in differential evolution. | Bas van Stein, Fabio Caraffini, Anna V. Kononova |
| 2020 | GECCO | Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search. | Yali Wang, Bas van Stein, Thomas Bck, Michael Emmerich |
| 2020 | IJCNN | Feature Visualization for 3D Point Cloud Autoencoders. | Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bck, Bernhard Sendhoff, Patricia Wollstadt |
| 2019 | IJCNN | Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization. | Bas van Stein, Hao Wang, Thomas Bck |
| 2018 | IPMU | A Novel Uncertainty Quantification Method for Efficient Global Optimization. | Bas van Stein, Hao Wang, Wojtek Kowalczyk, Thomas Bck |
| 2017 | GECCO | Time complexity reduction in efficient global optimization using cluster kriging. | Hao Wang, Bas van Stein, Michael T. M. Emmerich, Thomas Bck |
| 2017 | GECCO | Algorithm configuration data mining for CMA evolution strategies. | Sander van Rijn, Hao Wang, Bas van Stein, Thomas Bck |
| 2017 | SMC | A new acquisition function for Bayesian optimization based on the moment-generating function. | Hao Wang, Bas van Stein, Michael Emmerich, Thomas Bck |
| 2016 | IPMU | An Incremental Algorithm for Repairing Training Sets with Missing Values. | Bas van Stein, Wojtek Kowalczyk |
| 2016 | IPMU | Analysis and Visualization of Missing Value Patterns. | Bas van Stein, Wojtek Kowalczyk, Thomas Bck |
| 2015 | IDA | Optimally Weighted Cluster Kriging for Big Data Regression. | Bas van Stein, Hao Wang, Wojtek Kowalczyk, Thomas Bck, Michael Emmerich |