%0 Conference Paper %1 tritscher2024generation %A Tritscher, Julian %A Wolf, Maximilian %A Krause, Anna %A Hotho, Andreas %A Schlör, Daniel %B KI 2024: Advances in Artificial Intelligence - 47th German Conference on AI, Würzburg, Germany, September 25-27, 2024, Proceedings %D 2024 %E Hotho, Andreas %E Rudolph, Sebastian %I Springer %K %P 246--259 %R 10.1007/978-3-031-70893-0\_18 %T Data Generation for Explainable Occupational Fraud Detection %U https://doi.org/10.1007/978-3-031-70893-0\_18 %V 14992

@inproceedings{tritscher2024generation, added-at = {2025-01-12T18:34:14.000+0100}, author = {Tritscher, Julian and Wolf, Maximilian and Krause, Anna and Hotho, Andreas and Schl{\"{o}}r, Daniel}, bibsource = {dblp computer science bibliography, https://dblp.org}, biburl = {https://www.bibsonomy.org/bibtex/2078b35ecde46643800b162357fb1a1c8/hotho}, booktitle = {{KI} 2024: Advances in Artificial Intelligence - 47th German Conference on AI, W{\"{u}}rzburg, Germany, September 25-27, 2024, Proceedings}, doi = {10.1007/978-3-031-70893-0\_18}, editor = {Hotho, Andreas and Rudolph, Sebastian}, interhash = {805c1ac58e1450fce256dd3a3fd9916b}, intrahash = {078b35ecde46643800b162357fb1a1c8}, keywords = {}, pages = {246--259}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2025-01-12T18:34:14.000+0100}, title = {Data Generation for Explainable Occupational Fraud Detection}, url = {https://doi.org/10.1007/978-3-031-70893-0\_18}, volume = 14992, year = 2024 }