guest ::
| 001 | 1012595 | ||
| 005 | 20250929090650.0 | ||
| 024 | 7 | _ | |2 arXiv |a arXiv:2505.24534 |
| 024 | 7 | _ | |2 doi |a 10.48550/arXiv.2505.24534 |
| 024 | 7 | _ | |2 datacite_doi |a 10.18154/RWTH-2025-05054 |
| 037 | _ | _ | |a RWTH-2025-05054 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-82)IDM04795 |a Frantzen, Florian |b 0 |e Corresponding author |u rwth |
| 245 | _ | _ | |a HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection |h online |
| 260 | _ | _ | |c 2025 |
| 300 | _ | _ | |a 11 Seiten |
| 336 | 7 | _ | |0 28 |2 EndNote |a Electronic Article |
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| 336 | 7 | _ | |2 BibTeX |a ARTICLE |
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| 336 | 7 | _ | |2 DataCite |a Output Types/Working Paper |
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| 500 | _ | _ | |a Person Schaub, Michael Thomas auch Corresponding author |
| 536 | _ | _ | |0 G:(EU-Grant)101039827 |a HIGH-HOPeS - Higher-Order Hodge Laplacians for Processing of multi-way Signals (101039827) |c 101039827 |f ERC-2021-STG |x 0 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 591 | _ | _ | |a Germany |
| 650 | _ | 7 | |2 Other |a FOS: Computer and information sciences |
| 650 | _ | 7 | |2 Other |a Machine Learning (cs.LG) |
| 650 | _ | 7 | |2 Other |a Social and Information Networks (cs.SI) |
| 700 | 1 | _ | |0 P:(DE-82)IDM03949 |a Schaub, Michael Thomas |b 1 |e Last author |u rwth |
| 856 | 4 | _ | |u https://publications.rwth-aachen.de/record/1012595/files/1012595.pdf |y OpenAccess |
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| 914 | 1 | _ | |y 2025 |
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