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Marco Schreyer

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Marco Schreyer

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Last Name

Schreyer

First name

Marco

Email

marco.schreyer@unisg.ch

ORCID

0009-0001-3800-2226

Phone

+41 71 224 79 13

Homepage

https://gitihubi.github.io

Google Scholar

https://scholar.google.com/citations?user=O6V5YkEAAAAJ

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4 results

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Borth, Damian 4

Schreyer, Marco 4

Baumgartner, Marcel 2

Gierbl, Anita Stefanie 2

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Now showing 1 - 4 of 4

Artificial Intelligence in Internal Audit as a Contribution to Effective Governance - Deep-learning enabled Detection of Anomalies in Financial Accounting Data

(EXPERTsuisse, 2022-01-07)
Schreyer, Marco
;
Baumgartner, Marcel
;
Ruud, Flemming
;
Borth, Damian

Type: journal article

Journal: Expert Focus

Volume: Special: Internal Audit

Issue: 01

URI: https://www.alexandria.unisg.ch/handle/20.500.14171/109092
Künstliche Intelligenz im Internal Audit als Beitrag zur Effektiven Governance - Deep-Learning basierte Detektion von Buchungsanomalien in der Revisionspraxis

(EXPERTsuisse, 2022-01-07)
Schreyer, Marco
;
Baumgartner, Marcel
;
Ruud, Flemming
;
Borth, Damian

Type: journal article

Journal: Expert Focus

Volume: Special: Interne Revision

Issue: 01

URI: https://www.alexandria.unisg.ch/handle/20.500.14171/109093
Artificial Intelligence Enabled Audit Sampling - Learning to draw representative and interpretable audit samples from large-scale journal entry data

(EXPERTsuisse, 2022-03-07)
Schreyer, Marco
;
Gierbl, Anita Stefanie
;
Ruud, Flemming
;
Borth, Damian

Type: journal article

Journal: Expert Focus

Issue: 04

URI: https://www.alexandria.unisg.ch/handle/20.500.14171/108891
Stichprobenauswahl durch die Anwendung von Künstlicher Intelligenz - Lernen repräsentativer Stichproben aus Journalbuchungen in der Prüfungspraxis

(EXPERTsuisse, 2022-02-07)
Schreyer, Marco
;
Gierbl, Anita Stefanie
;
Ruud, Flemming
;
Borth, Damian

Type: journal article

Journal: Expert Focus

Issue: 02

URI: https://www.alexandria.unisg.ch/handle/20.500.14171/109010

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