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Martin Scheid
Martin Scheid
German Research Center for Artificial Intelligence and Saarland University
Verified email at martin-scheid.de
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Cited by
Cited by
Year
Utilizing machine learning techniques to reveal vat compliance violations in accounting data
J Lahann, M Scheid, P Fettke
2019 IEEE 21st conference on business informatics (CBI) 1, 1-10, 2019
322019
Research prototype: The design canvas in MyDesignProcess. com
S Morana, M Scheid, M Gau, I Benke, J vom Brocke, P Fettke, A Maedche
DESRIST 2018 conference proceedings, 2018
202018
Business Process Intelligence Challenge 2020: Analysis and evaluation of a travel process
S Klein, J Lahann, L Mayer, D Neu, P Pfeiffer, A Rebmann, M Scheid, ...
10th Business Process Intelligence Challenge at the Int. Conf. on Process …, 2020
42020
Model-Based Compliance in Information Systems–Foundations, Case Description and Data Set of the MobIS-Challenge for Students and Doctoral Candidates
C Houy, JR Rehse, M Scheid, P Fettke
32019
Towards Optimal Free Trade Agreement Utilization through Deep Learning Techniques.
J Lahann, M Scheid, P Fettke
HICSS, 1-10, 2020
22020
The MobIS-Challenge 2019: A Report on the WI-2019-Workshop on Model-Based Compliance in Information Systems
S Baier, S Dunzer, P Fettke, C Houy, M Matzner, P Pfeiffer, JR Rehse, ...
Enterprise Modelling and Information Systems Architectures (EMISAJ) 15, 5: 1-25, 2020
2020
Efficient and Compliant Purchase Order HandlingA Contribution to BPI Challenge 2019
O Gutermuth, J Lahann, JR Rehse, M Scheid, S Schuhmann, S Stephan, ...
2019
Data set for MobIS Challenge 2019
M Scheid, JR Rehse, C Houy, P Fettke
Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI, 2018
2018
Efficient and Compliant Purchase Order Handling
O Gutermuth, J Lahann, JR Rehse, M Scheid, S Schuhmann, S Stephan, ...
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