| 2025 | GECCO | SCRBenchmark: A Benchmarking Library for Shape-Constrained Regression. | Florian Bachinger, Bernhard Werth, Jan Zenisek, Christian Haider, Fabrcio Olivetti de Frana |
| 2025 | GECCO | Continuous Pruning for Symbolic Regression. | Bernhard Werth, Michael Affenzeller |
| 2024 | GECCO | DynStack Competition - Dynamic Stacking Optimization in Uncertain Environments. | Johannes Karder, Sebastian Leitner, Bernhard Werth, Stefan Wagner |
| 2023 | GECCO | Walking through the Quadratic Assignment-Instance Space: Algorithm Performance and Landscape Measures. | Bernhard Werth, Johannes Karder, Andreas Beham, Erik Pitzer, Kaifeng Yang, Stefan Wagner |
| 2023 | GECCO | A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement. | Kaifeng Yang, Kai Chen, Michael Affenzeller, Bernhard Werth |
| 2022 | DATA | Automating Data Quality Monitoring with Reference Data Profiles. | Lisa Ehrlinger, Bernhard Werth, Wolfram W |
| 2022 | GECCO | DynStack: a benchmarking framework for dynamic optimization problems in warehouse operations. | Andreas Beham, Sebastian Leitner, Johannes Karder, Bernhard Werth, Stefan Wagner |
| 2021 | GECCO | Dynamic landscape analysis for open-ended stacking. | Bernhard Werth, Johannes Karder, Andreas Beham, Stefan Wagner |
| 2018 | GECCO | Asynchronous surrogate-assisted optimization networks. | Johannes Karder, Andreas Beham, Bernhard Werth, Stefan Wagner, Michael Affenzeller |
| 2018 | GECCO | Quasi-bistability of walk-based landscape measures in stochastic fitness landscapes. | Bernhard Werth, Erik Pitzer, Gerald Ostermayer, Michael Affenzeller |
| 2017 | GECCO | Enabling high-dimensional surrogate-assisted optimization by using sliding windows. | Bernhard Werth, Erik Pitzer, Michael Affenzeller |