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researcher

Bernd Reimer

4 papers hereh-index 4211 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG4

identity via Semantic Scholar / OpenAlex

activity
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

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.LG2019★ 11 cited

Adversarial Learning of Deepfakes in Accounting

Marco Schreyer, Timur Sattarov, Bernd Reimer +1

Nowadays, organizations collect vast quantities of accounting relevant transactions, referred to as 'journal entries', in 'Enterprise Resource Planning' (ERP) systems. The aggregat…

cs.LG2019★ 18 cited

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks

Marco Schreyer, Timur Sattarov, Christian Schulze +2

The detection of fraud in accounting data is a long-standing challenge in financial statement audits. Nowadays, the majority of applied techniques refer to handcrafted rules derive…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.