| 2022 | DEXA | Accurately Predicting User Registration in Highly Unbalanced Real-World Datasets from Online News Portals. | Eva-Maria Spitzer, Oliver Krauss, Andreas Stckl |
| 2022 | GECCO | Amaru: a framework for combining genetic improvement with pattern mining. | Oliver Krauss |
| 2021 | GECCO | Genetic improvement of data for maths functions. | William B. Langdon, Oliver Krauss |
| 2020 | EUROGP | Automatically Evolving Lookup Tables for Function Approximation. | Oliver Krauss, William B. Langdon |
| 2020 | GECCO | Integrating heuristiclab with compilers and interpreters for non-functional code optimization. | Daniel Dorfmeister, Oliver Krauss |
| 2020 | GECCO | Evolving sqrt into 1/ | William B. Langdon, Oliver Krauss |
| 2020 | ICPM | Process Mining on FHIR - An Open Standards-Based Process Analytics Approach for Healthcare. | Emmanuel Helm, Oliver Krauss, Anna M. Lin, Andreas Pointner, Andreas Schuler, Josef Kng |
| 2020 | ICSE | Towards Knowledge-guided Genetic Improvement. | Oliver Krauss, Hanspeter Mssenbck, Michael Affenzeller |
| 2019 | ICSE | Mining patterns from genetic improvement experiments. | Oliver Krauss, Hanspeter Mssenbck, Michael Affenzeller |
| 2018 | GECCO | Dynamic fitness functions for genetic improvement in compilers and interpreters. | Oliver Krauss, Hanspeter Mssenbck, Michael Affenzeller |
| 2017 | OOPSLA | Genetic improvement in code interpreters and compilers. | Oliver Krauss |