| 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 |
| 2026 | ESANN | Linearity of Sensitive Concepts in Language Models. | Sarah Schrder, Valerie Vaquet, Barbara Hammer |
| 2026 | ESANN | Beyond Performance: Comprehensive Evaluation Strategies for Impactful Machine Learning. | Valerie Vaquet, Ulrike Kuhl, Sasa Brdnik, Benjamin Paassen |
| 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 |
| 2025 | ICANN | Continuous Fair SMOTE - Fairness-Aware Stream Learning from Imbalanced Data. | Kathrin Lammers, Valerie Vaquet, Barbara Hammer |
| 2025 | IJCNN | Energy Efficient Online Stream Classification under Concept Drift on FPGAs for Edge Computing. | Jonas Vaquet, Florian Porrmann, Sarah Pilz, Valerie Vaquet, Jens Hagemeyer, Ulrich Rckert, 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 | 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 | 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 | ESANN | Contrasting Explanation of Concept Drift. | Fabian Hinder, Andr Artelt, Valerie Vaquet, Barbara Hammer |
| 2022 | ESANN | From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer. | Patrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert |
| 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 | 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 | Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data. | Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer |
| 2021 | IWANN | Contrastive Explanations for Explaining Model Adaptations. | Andr Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer |
| 2020 | ICANN | Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data. | Valerie Vaquet, Barbara Hammer |