| Explaining anomalies using denoising autoencoders for financial tabular data T Sattarov, D Herurkar, J Hees arXiv preprint arXiv:2209.10658, 2022 | 7 | 2022 |
| Cross-Domain Transformation for Outlier Detection on Tabular Datasets D Herurkar, T Sattarov, J Hees, S Palacio, F Raue, A Dengel 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 3 | 2023 |
| RECol: Reconstruction Error Columns for Outlier Detection D Herurkar, M Meier, J Hees German Conference on Artificial Intelligence (Künstliche Intelligenz), 60-74, 2023 | 2 | 2023 |
| Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data D Herurkar, S Palacio, A Anwar, J Hees, A Dengel arXiv preprint arXiv:2404.14933, 2024 | 1 | 2024 |
| ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs D Herurkar, P Blandfort, F Raue, J Hees, A Dengel 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 1 | 2021 |
| Tab-Distillation: Impacts of Dataset Distillation on Tabular Data For Outlier Detection D Herurkar, F Raue, A Dengel Proceedings of the 5th ACM International Conference on AI in Finance, 804-812, 2024 | | 2024 |
| FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data A Anwar, B Moser, D Herurkar, F Raue, V Hegiste, T Legler, A Dengel arXiv preprint arXiv:2408.04442, 2024 | | 2024 |
| Explaining Anomalies using Denoising T Sattarov, D Herurkar, J Hees | | 2023 |
| RECol: Reconstruction Error Columns for Outlier Detection J Hees, D Herurkar, M Meier arXiv preprint arXiv:2102.02791, 2021 | | 2021 |
| Combining Software-Based Eye Tracking and a Wide-Angle Lens for Sneaking Detection D Herurkar, S Ishimaru, A Dengel Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018 | | 2018 |
