| 2025 | ICANN | Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals. | Andreas Mazur, Henning Peters, Andr Artelt, Lukas Koller, Christoph Hartmann, Ansgar Trchtler, Barbara Hammer |
| 2025 | IJCNN | Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems. | Inaam Ashraf, Andr Artelt, 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 | NordiCHI | Let Me Explain What I Did or What I Would Have Done: An Empirical Study on the Effects of Explanations and Person-Likeness on Trust in and Understanding of Algorithms. | Jessica M. Szczuka, Aike C. Horstmann, Natalia Szymczyk, Clara Strathmann, Andr Artelt, Lina Mavrina, Nicole C. Krmer |
| 2023 | ICPRAM | "Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. | Andr Artelt, Alexander Schulz, Barbara Hammer |
| 2023 | IDA | Spatial Graph Convolution Neural Networks for Water Distribution Systems. | Inaam Ashraf, Luca Hermes, Andr Artelt, Barbara Hammer |
| 2023 | IWANN | Adversarial Attacks on Leakage Detectors in Water Distribution Networks. | Paul Stahlhofen, Andr Artelt, Luca Hermes, Barbara Hammer |
| 2022 | ESANN | Model Agnostic Local Explanations of Reject. | Andr Artelt, Roel Visser, Barbara Hammer |
| 2022 | ESANN | Contrasting Explanation of Concept Drift. | Fabian Hinder, Andr Artelt, Valerie Vaquet, Barbara Hammer |
| 2022 | ESANN | Improving Zorro Explanations for Sparse Observations with Dense Proxy Data. | Andreas Mazur, Andr Artelt, Barbara Hammer |
| 2022 | ICANN | SAM-kNN Regressor for Online Learning in Water Distribution Networks. | Jonathan Jakob, Andr Artelt, Martina Hasenjger, 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 |
| 2022 | IDEAL | Explainable Artificial Intelligence for Improved Modeling of Processes. | Riza Velioglu, Jan Philip Gpfert, Andr Artelt, Barbara Hammer |
| 2021 | IJCNN | Efficient computation of contrastive explanations. | Andr Artelt, Barbara Hammer |
| 2021 | IWANN | Contrastive Explanations for Explaining Model Adaptations. | Andr Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer |
| 2020 | ESANN | Efficient computation of counterfactual explanations of LVQ models. | Andr Artelt, Barbara Hammer |
| 2020 | ICANN | Convex Density Constraints for Computing Plausible Counterfactual Explanations. | Andr Artelt, Barbara Hammer |
| 2020 | ICML | Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD). | Fabian Hinder, Andr Artelt, Barbara Hammer |
| 2020 | IDA | Adversarial Attacks Hidden in Plain Sight. | Jan Philip Gpfert, Andr Artelt, Heiko Wersing, Barbara Hammer |