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20172025
most citedDetection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks

80 citations · 133 across the 16 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 5 cited

Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data

Hamed Hemati, Marco Schreyer, Damian Borth

International audit standards require the direct assessment of a financial statement's underlying accounting journal entries. Driven by advances in artificial intelligence, deep-le…

cs.LG2021

Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks

Marco Schreyer, Timur Sattarov, Damian Borth

International audit standards require the direct assessment of a financial statement's underlying accounting transactions, referred to as journal entries. Recently, driven by the a…