| 2026 | PAKDD | Unsupervised Symbolic Anomaly Detection. | Md Maruf Hossain, Tim Katzke, Simon Klttermann, Emmanuel Mller |
| 2025 | DSAA | Evaluating Anomaly Detection Algorithms: The Role of Hyperparameters and Standardized Benchmarks. | Simon Klttermann, Shubham Gupta, Emmanuel Mller |
| 2024 | ICMLA | Towards Highly Efficient Anomaly Detection for Predictive Maintenance. | Simon Klttermann, Vanlal Peka, Philipp Doebler, Emmanuel Mller |
| 2024 | ICMLA | On the Effectiveness of Heterogeneous Ensemble Methods for Re-Identification. | Simon Klttermann, Jrme Rutinowski, Frederik Polachowski, Anh Nguyen, Britta Grimme, Moritz Roidl, Emmanuel Mller |
| 2024 | IJCNN | Evaluating Anomaly Detection Algorithms: A Multi-Metric Analysis Across Variable Class Imbalances. | Mohammad-Sahadet Hossain, Mohammad Sakhawat Hossain, Simon Klttermann, Emmanuel Mller |
| 2024 | IJCNN | The Phenomenon of Correlated Representations in Contrastive Learning. | Simon Klttermann, Jrme Rutinowski, Emmanuel Mller |
| 2024 | IJCNN | Autoencoder Optimization for Anomaly Detection: A Comparative Study with Shallow Algorithms. | Vikas Kumar, Vishesh Srivastava, Sadia Mahjabin, Arindam Pal, Simon Klttermann, Emmanuel Mller |
| 2024 | PAKDD | On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values. | Simon Klttermann, Chiara Balestra, Emmanuel Mller |
| 2023 | ICDM | On Graph Representation based Re-Identification - A Proof of Concept. | Simon Klttermann, Jrme Rutinowski, Anh Nguyen, Christopher Reining, Moritz Roidl, Emmanuel Mller |
| 2023 | IJCNN | Evaluating and Comparing Heterogeneous Ensemble Methods for Unsupervised Anomaly Detection. | Simon Klttermann, Emmanuel Mller |
| 2022 | ICDM | Post-Robustifying Deep Anomaly Detection Ensembles by Model Selection. | Benedikt Bing, Simon Klttermann, Emmanuel Mller |
| 2022 | ICMLA | Towards Graph Representation based Re-Identification of Chipwood Pallet Blocks. | Simon Klttermann, Jrme Rutinowski, Christopher Reining, Moritz Roidl, Emmanuel Mller |