| 2026 | ESANN | Real vs. Virtual Drift: Creating Realistic Stream Learning Benchmarks. | Fabian Hinder, Johannes Brinkrolf, Kathrin Lammers, Barbara Hammer |
| 2026 | ESANN | Drift Localization using Conformal Predictions. | Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer |
| 2024 | ESANN | Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty. | Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Barbara Hammer |
| 2024 | ICANN | Challenges, Methods, Data-A Survey of Machine Learning in Water Distribution Networks. | Valerie Vaquet, Fabian Hinder, Andr Artelt, Inaam Ashraf, Janine Strotherm, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer |
| 2023 | ESANN | Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts. | Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer |
| 2023 | ICPRAM | On the Hardness and Necessity of Supervised Concept Drift Detection. | Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer |
| 2023 | IDA | On the Change of Decision Boundary and Loss in Learning with Concept Drift. | Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer |
| 2022 | ESANN | Federated learning vector quantization for dealing with drift between nodes. | Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer |
| 2022 | ICANN | Feature Selection for Trustworthy Regression Using Higher Moments. | Fabian Hinder, Johannes Brinkrolf, Barbara Hammer |
| 2022 | ICANN | Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks. | Valerie Vaquet, Andr Artelt, Johannes Brinkrolf, Barbara Hammer |
| 2022 | IJCCI | Explaining Reject Options of Learning Vector Quantization Classifiers. | Andr Artelt, Johannes Brinkrolf, Roel Visser, Barbara Hammer |
| 2022 | IJCNN | Localization of Concept Drift: Identifying the Drifting Datapoints. | Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Andr Artelt, Barbara Hammer |
| 2021 | ESANN | Federated Learning Vector Quantization. | Johannes Brinkrolf, Barbara Hammer |
| 2020 | ESANN | Sparse Metric Learning in Prototype-based Classification. | Johannes Brinkrolf, Barbara Hammer |
| 2018 | ESANN | Differential private relevance learning. | Johannes Brinkrolf, Kolja Berger, Barbara Hammer |