| 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 |
| 2026 | ESANN | Drift-Aware Evaluation of Fair Stream Learning. | Kathrin Lammers, Fabian Hinder, Barbara Hammer, Valerie Vaquet |
| 2025 | ESANN | Adversarial Attacks for Drift Detection. | Fabian Hinder, Valerie Vaquet, Barbara Hammer |
| 2025 | ESANN | Conceptualizing Concept Drift. | Isaac Roberts, Fabian Hinder, Valerie Vaquet, Alexander Schulz, Barbara Hammer |
| 2025 | ESANN | Compression-based | Valerie Vaquet, Jonas Vaquet, Fabian Hinder, Barbara Hammer |
| 2024 | ESANN | Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty. | Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Barbara Hammer |
| 2024 | ESANN | On the Fine Structure of Drifting Features. | Fabian Hinder, Valerie Vaquet, Barbara Hammer |
| 2024 | ESANN | Self-Supervised Learning from Incrementally Drifting Data Streams. | Valerie Vaquet, Jonas Vaquet, Fabian Hinder, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, 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 |
| 2024 | ICPRAM | Semantic Properties of Cosine Based Bias Scores for Word Embeddings. | Sarah Schrder, Alexander Schulz, Fabian Hinder, Barbara Hammer |
| 2024 | ICPRAM | Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks. | Valerie Vaquet, Fabian Hinder, Barbara Hammer |
| 2024 | IJCNN | Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations. | Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Kathrin Lammers, Lars Quakernack, Barbara Hammer |
| 2024 | IDA | A Remark on Concept Drift for Dependent Data. | Fabian Hinder, Valerie Vaquet, Barbara Hammer |
| 2023 | ESANN | Feature Selection for Concept Drift Detection. | Fabian Hinder, 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 | ESANN | Contrasting Explanation of Concept Drift. | Fabian Hinder, Andr Artelt, Valerie Vaquet, Barbara Hammer |
| 2022 | ICANN | Feature Selection for Trustworthy Regression Using Higher Moments. | Fabian Hinder, Johannes Brinkrolf, Barbara Hammer |
| 2022 | IJCNN | Localization of Concept Drift: Identifying the Drifting Datapoints. | Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Andr Artelt, Barbara Hammer |
| 2022 | IDA | Suitability of Different Metric Choices for Concept Drift Detection. | Fabian Hinder, Valerie Vaquet, Barbara Hammer |
| 2021 | ESANN | Concept Drift Segmentation via Kolmogorov-Trees. | Fabian Hinder, Barbara Hammer |
| 2021 | IWANN | Contrastive Explanations for Explaining Model Adaptations. | Andr Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer |
| 2020 | ICANN | Explaining Concept Drift by Mean of Direction. | Fabian Hinder, Johannes Kummert, Barbara Hammer |
| 2020 | ICML | Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD). | Fabian Hinder, Andr Artelt, Barbara Hammer |
| 2020 | IJCAI | DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction. | Alexander Schulz, Fabian Hinder, Barbara Hammer |