Spotlight · 2025
Context-Based Subvariant Discovery for Process Mining via Machine Learning
Fabian Gwinner , Myriam Schaschek , Axel Winkelmann
Business & Information Systems Engineering (BISE)
Publications
10 papersMy own peer-reviewed research on explainable AI, process mining, and decision support, spanning anomaly detection, industrial applications, and information systems engineering.
2024
A Taxonomy of Artificial Intelligence for Process Mining Enhancement
Nicolas Neis , Fabian Gwinner , Carolin Haueisen
PACIS 2024 Proceedings
2024
2023
From Black Box to Glass Box: Evaluating Faithfulness of Process Predictions with GCNNs
Myriam Schaschek , Fabian Gwinner , Benedikt Hein , Axel Winkelmann
Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2023. Communications in Computer and Information Science, vol 2135. Springer, Cham.
2023
Towards Explainable Occupational Fraud Detection
Julian Tritscher , Daniel Schlör , Fabian Gwinner , Anna Krause , Andreas Hotho
Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2022. Communications in Computer and Information Science, vol 1753. Springer, Cham.
2022
2021
Security Implications of Consortium Blockchains: The Case of Ethereum Networks
Adrian Hofmann , Fabian Gwinner , Axel Winkelmann , Christian Janiesch
JIPITEC
2021
A Financial Game with Opportunities for Fraud
Julian Tritscher , Anna Krause , Daniel Schlör , Fabian Gwinner , Sebastian Von Mammen , Andreas Hotho
2021 IEEE Conference on Games (CoG)
2021
A Meta-Model for Real-Time Fraud Detection in ERP Systems
Anna Fuchs , Kevin Fuchs , Fabian Gwinner , Axel Winkelmann
Hawaii International Conference on System Sciences (HICSS-54)
2020
An Industry-Agnostic Approach for the Prediction of Return Shipments
Adrian Hofmann , Fabian Gwinner , Kevin Fuchs , Axel Winkelmann
AMCIS 2020 Proceedings