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20172020
most citedDetection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks

80 citations · 111 across the 4 of their papers we have counts for

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cs.LG2020★ 2 cited

Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks

Marco Schreyer, Timur Sattarov, Anita Gierbl +2

The audit of financial statements is designed to collect reasonable assurance that an issued statement is free from material misstatement 'true and fair presentation'. Internationa…