| 2025 | CIKM | FairRegBoost: An End-to-End Data Processing Framework for Fair and Scalable Regression. | Nico Lssig, Melanie Herschel |
| 2025 | ICDE | Experimental Analysis of Multi-Step Pipelines for Fair Classifications - More than the Sum of Their Parts? | Nico Lssig, Melanie Herschel |
| 2024 | DaWaK | Putting Co-Design-Supporting Data Lakes to the Test: An Evaluation on AEC Case Studies. | Melanie Herschel, Andreas Gienger, Anja Patricia Regina Lauer, Charlotte Stein, Lior Skoury, Nico Lssig, Carsten Ellwein, Alexander Verl, Thomas Wortmann, Cristina Tarn-Sauer |
| 2024 | EDBT | FALCC: Efficiently performing locally fair and accurate classifications. | Nico Lssig, Melanie Herschel |
| 2024 | ICDE | FairCR - An Evaluation and Recommendation System for Fair Classification Algorithms. | Nico Lssig, Melanie Herschel, Ole Nies |
| 2023 | ICDE | Towards an AutoML System for Fair Classifications | Nico Lssig |
| 2022 | CaiSE | The ArchIBALD Data Integration Platform: Bridging Fragmented Processes in the Building Industry. | Nico Lssig, Melanie Herschel, Alexander Reichle, Carsten Ellwein, Alexander Verl |
| 2021 | BTW | Using FALCES against bias in automated decisions by integrating fairness in dynamic model ensembles. | Nico Lssig, Sarah Oppold, Melanie Herschel |