Majlinda Llugiqi, Rudolf Mayer. An Empirical Analysis of Synthetic-Data-Based Anomaly Detection. In Andreas Holzinger, Peter Kieseberg, A. Min Tjoa, Edgar Weippl, editors, Machine Learning and Knowledge Extraction - 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23-26, 2022, Proceedings. Volume 13480 of Lecture Notes in Computer Science, pages 306-327, Springer, 2022. [doi]
@inproceedings{LlugiqiM22,
title = {An Empirical Analysis of Synthetic-Data-Based Anomaly Detection},
author = {Majlinda Llugiqi and Rudolf Mayer},
year = {2022},
doi = {10.1007/978-3-031-14463-9_20},
url = {https://doi.org/10.1007/978-3-031-14463-9_20},
researchr = {https://researchr.org/publication/LlugiqiM22},
cites = {0},
citedby = {0},
pages = {306-327},
booktitle = {Machine Learning and Knowledge Extraction - 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23-26, 2022, Proceedings},
editor = {Andreas Holzinger and Peter Kieseberg and A. Min Tjoa and Edgar Weippl},
volume = {13480},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-14463-9},
}