Detecting Financial Fraud and Anomalies in Corporate Transactions with Convolutional Neural Networks
Crossref DOI link: https://doi.org/10.1007/s44196-026-01275-2
Published Online: 2026-03-25
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Cai, Muqiao
Text and Data Mining valid from 2026-03-25
Version of Record valid from 2026-05-13
Article History
Received: 21 April 2025
Revised: 22 October 2025
Accepted: 16 March 2026
First Online: 25 March 2026
Declarations
:
: The authors declare no competing interests.
: Not Applicable.