| 2024 | ECAI | Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule. | Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci |
| 2024 | ICML | Standardized Interpretable Fairness Measures for Continuous Risk Scores. | Ann-Kristin Becker, Oana Dumitrasc, Klaus Broelemann |
| 2023 | AAAI | Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees. | Artjom Zern, Klaus Broelemann, Gjergji Kasneci |
| 2023 | ICDM | Counterfactual Explanation for Regression via Disentanglement in Latent Space. | Xuan Zhao, Klaus Broelemann, Gjergji Kasneci |
| 2022 | ICDE | Dynamic Model Tree for Interpretable Data Stream Learning. | Johannes Haug, Klaus Broelemann, Gjergji Kasneci |
| 2021 | BMVC | SPARROW: Semantically Coherent Prototypes for Image Classification. | Stefan Kraft, Klaus Broelemann, Andreas Theissler, Gjergji Kasneci |
| 2020 | KDD | Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. | Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci |
| 2020 | WWW | Learning Model-Agnostic Counterfactual Explanations for Tabular Data. | Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci |
| 2020 | UAI | On Counterfactual Explanations under Predictive Multiplicity. | Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci |
| 2019 | IJCAI | A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. | Klaus Broelemann, Gjergji Kasneci |
| 2017 | ICDE | LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines. | Klaus Broelemann, Thomas Gottron, Gjergji Kasneci |
| 2012 | SSPR | Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images. | Klaus Broelemann, Anjan Dutta, Xiaoyi Jiang, Josep Llads |