| Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes L Galke, I Vagliano, B Franke, T Zielke, M Hoffmann, A Scherp Neural Networks 164, 156-176, 2023 | 15 | 2023 |
| Open-World Lifelong Graph Learning M Hoffmann, L Galke, A Scherp 2023 International Joint Conference on Neural Networks (IJCNN), 1-9, 2023 | 7 | 2023 |
| STEREO: a pipeline for extracting experiment statistics, conditions, and topics from scientific papers S Epp, M Hoffmann, N Lell, M Mohr, A Scherp The 23rd International Conference on Information Integration and Web …, 2021 | 3 | 2021 |
| On the Rule-Based Extraction of Statistics Reported in Scientific Papers T Kalmbach, M Hoffmann, N Lell, A Scherp International Conference on Applications of Natural Language to Information …, 2023 | 1 | 2023 |
| Lifelong Graph Summarization with Neural Networks: 2012, 2022, and a Time Warp J Frank, M Hoffmann, N Lell, D Richerby, A Scherp arXiv preprint arXiv:2407.18042, 2024 | | 2024 |
| POWN: Prototypical Open-World Node Classification M Hoffmann, L Galke, A Scherp arXiv preprint arXiv:2406.09926, 2024 | | 2024 |
| Reducing a Set of Regular Expressions and Analyzing Differences of Domain-specific Statistic Reporting T Kalmbach, M Hoffmann, N Lell, A Scherp arXiv preprint arXiv:2211.13632, 2022 | | 2022 |
| Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers with STEREO. S Epp, M Hoffmann, N Lell, M Mohr, A Scherp J. Data Intell. 3 (2), 252-277, 2022 | | 2022 |
