English
Deutsch

Log In

Email address Password

or

Research Outputs
Projects
People
Statistics

English
Deutsch

Log In

Email address Password

or

Home
HSG CRIS
HSG Researchers
Marco Schreyer

Options

Marco Schreyer

Thumbnail Image

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

Publications

Other infos

Andere Informationen

Metrics

2 results

Filters

Borth, Damian 2

Ruud, Flemming 2

Schreyer, Marco 2

Baumgartner, Marcel 1

Gierbl, Anita Stefanie 1

Search author name

Submit

Journal Entry Testing

Artificial Intelligence

Deep Learning 2

Search keyword

Submit

journal article 2

Search type

Submit

Settings

Sort By

Results per page

Now showing 1 - 2 of 2

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
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

here you can find instructions

Built with DSpace-CRIS software - Extension maintained and optimized by

Cookie settings
Privacy policy
End User Agreement
Send Feedback