Amanote Research

Amanote Research

    RegisterSign In

Autoencoder Neural Networks Versus External Auditors: Detecting Unusual Journal Entries in Financial Statement Audits

doi 10.24251/hicss.2020.666
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2020

Authors
Martin SchultzMarina Tropmann-Frick
Publisher

Hawaii International Conference on System Sciences


Related search

The Fraud Diamond: Element in Detecting Financial Statement of Fraud

International research journal of management, IT and social sciences
2019English

Detecting Fraudulent Financial Statement Using Fraud Triangle: Capability as Moderating Variable

KnE Social Sciences
2018English

The Effect of Financial Stability, External Pressure, and Ineffective Monitoring of Fraudulent Financial Statement

2019English

Detecting Simulated Attacks in Computer Networks Using Resilient Propagation Artificial Neural Networks

Polibits
2015English

The Effect of Internal Auditors’ Information Technology Knowledge on Integrated Internal Audits

International Business Research
2013English

To Find or Not to Find: Public Accounting Auditors Versus Governmental Auditors

Review of Business Information Systems (RBIS)
2011English

Financial Statement Analysis

2012English

Financial Statement Analysis

2017English

Financial Statement Fraud

2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy