Gast ::
| 001 | 1006989 | ||
| 005 | 20260123110549.0 | ||
| 024 | 7 | _ | |2 DOI |a 10.48550/arXiv.2501.01767 |
| 024 | 7 | _ | |2 arXiv |a arXiv:2501.01767 |
| 024 | 7 | _ | |2 datacite_doi |a 10.18154/RWTH-CONV-253467 |
| 037 | _ | _ | |a RWTH-CONV-253467 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-82)1013135 |a Jin, Er |b 0 |e Corresponding author |u rwth |
| 111 | 2 | _ | |a 39. Annual AAAI Conference on Artificial Intelligence |c Philadelphia, PA |d 2025-02-27 - 2025-03-04 |g AAAI 2025 |w USA |
| 245 | _ | _ | |a LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction |h online, print |
| 260 | _ | _ | |c 2025 |
| 300 | _ | _ | |a 9 Seiten |
| 336 | 7 | _ | |0 28 |2 EndNote |a Electronic Article |
| 336 | 7 | _ | |0 PUB:(DE-HGF)25 |2 PUB:(DE-HGF) |a Preprint |b preprint |m preprint |
| 336 | 7 | _ | |2 BibTeX |a ARTICLE |
| 336 | 7 | _ | |2 DRIVER |a preprint |
| 336 | 7 | _ | |2 DataCite |a Output Types/Working Paper |
| 336 | 7 | _ | |2 ORCID |a WORKING_PAPER |
| 591 | _ | _ | |a Germany |
| 700 | 1 | _ | |0 P:(DE-82)IDM06826 |a Feng, Qihui |b 1 |e Corresponding author |u rwth |
| 700 | 1 | _ | |0 P:(DE-82)IDM05034 |a Mou, Yongli |b 2 |u rwth |
| 700 | 1 | _ | |0 P:(DE-82)IDM01515 |a Decker, Stefan Josef |b 3 |u rwth |
| 700 | 1 | _ | |0 P:(DE-82)000876 |a Lakemeyer, Gerhard |b 4 |u rwth |
| 700 | 1 | _ | |a Simons, Oliver |b 5 |
| 700 | 1 | _ | |0 P:(DE-82)IDM03428 |a Stegmaier, Johannes |b 6 |u rwth |
| 856 | 4 | _ | |u https://kbsg.rwth-aachen.de/papers/feng_aaai25.pdf |y inactive 2025-03-18 |
| 856 | 4 | _ | |u https://publications.rwth-aachen.de/record/1006989/files/1006989.pdf |y OpenAccess |
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| 914 | 1 | _ | |y 2025 |
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| 915 | _ | _ | |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |a Creative Commons Attribution CC BY 4.0 |
| 920 | 1 | _ | |0 I:(DE-82)121920_20140620 |k 121920 |l Lehr- und Forschungsgebiet Wissensbasierte Systeme |x 0 |
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| 970 | _ | _ | |a fengAAAI2025-RWTHp |
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| Library | Collection | CLSMajor | CLSMinor | Language | Author |
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