Insurance fraud detection with unsupervised deep learning
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DOI: 10.1111/jori.12359
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References listed on IDEAS
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Citations
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Cited by:
- Alexander Vosseler, 2022. "Unsupervised Insurance Fraud Prediction Based on Anomaly Detector Ensembles," Risks, MDPI, vol. 10(7), pages 1-20, June.
- Xiao Lin & Mark J. Browne & Annette Hofmann, 2022. "Race discrimination in the adjudication of claims: Evidence from earthquake insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(3), pages 553-580, September.
- Chih-Te Yang & Yensen Ni & Mu-Hsiang Yu & Yuhsin Chen & Paoyu Huang, 2023. "Decoding the Profitability of Insurance Products: A Novel Approach to Evaluating Non-Participating and Participating Insurance Policies," Mathematics, MDPI, vol. 11(13), pages 1-16, June.
- Aslam, Faheem & Hunjra, Ahmed Imran & Ftiti, Zied & Louhichi, Wael & Shams, Tahira, 2022. "Insurance fraud detection: Evidence from artificial intelligence and machine learning," Research in International Business and Finance, Elsevier, vol. 62(C).
- Angela Zeier Röschmann & Matthias Erny & Joël Wagner, 2022. "On the (future) role of on-demand insurance: market landscape, business model and customer perception," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(3), pages 603-642, July.
- Spark C. Tseung & Ian Weng Chan & Tsz Chai Fung & Andrei L. Badescu & X. Sheldon Lin, 2022. "A Posteriori Risk Classification and Ratemaking with Random Effects in the Mixture-of-Experts Model," Papers 2209.15212, arXiv.org.
- Michele Tumminello & Andrea Consiglio & Pietro Vassallo & Riccardo Cesari & Fabio Farabullini, 2023. "Insurance fraud detection: A statistically validated network approach," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 90(2), pages 381-419, June.
- Daniel Bauer & James Tyler Leverty & Joan Schmit & Justin Sydnor, 2021. "Symposium on insure‐tech, digitalization, and big‐data techniques in risk management and insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(3), pages 525-528, September.
- Yang Qiao & Chou-Wen Wang & Wenjun Zhu, 2024. "Machine learning in long-term mortality forecasting," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(2), pages 340-362, April.
- Serkan Eti & Hasan Dinçer & Hasan Meral & Serhat Yüksel & Yaşar Gökalp, 2024. "Insurtech in Europe: identifying the top investment priorities for driving innovation," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-24, December.
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