Publications

Nicolas Neis, Fabian Gwinner, Carolin Haueisen (2024). A Taxonomy of Artificial Intelligence for Process Mining enhancement. PACIS 2024 Proceedings.

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Fabian Gwinner, Christoph Tomitza, Axel Winkelmann (2024). Comparing expert systems and their explainability through similarity. Decision Support Systems.

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Myriam Schaschek, Fabian Gwinner, Benedikt Hein, Axel Winkelmann (2023). From Black Box to Glass Box: Evaluating Faithfulness of Process Predictions with GCNNs. Machine Learning and Principles and Practice of Knowledge Discovery in Databases.

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Fabian Gwinner, Christoph Tomitza, Axel Winkelmann (2023). Working Paper - Comparing explainability through similarity. Working Paper - Comparing explainability through similarity.

Julian Tritscher, Daniel Schlör, Fabian Gwinner, Anna Krause, Andreas Hotho (2023). Towards Explainable Occupational Fraud Detection. Machine Learning and Principles and Practice of Knowledge Discovery in Databases.

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Julian Tritscher, Fabian Gwinner, Daniel Schlör, Anna Krause, Andreas Hotho (2022). Open ERP System Data For Occupational Fraud Detection. arXiv.

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Adrian Hofmann, Fabian Gwinner, Axel Winkelmann, Christian Janiesch (2021). Security Implications of Consortium Blockchains: The Case of Ethereum Networks.

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Julian Tritscher, Anna Krause, Daniel Schlör, Fabian Gwinner, Sebastian Von Mammen, Andreas Hotho (2021). A financial game with opportunities for fraud. 2021 IEEE Conference on Games (CoG).

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Anna Fuchs, Kevin Fuchs, Fabian Gwinner, Axel Winkelmann (2021). A Meta-Model for Real-Time Fraud Detection in ERP Systems. Hawaii International Conference on System Sciences 2021 (HICSS-54).

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Adrian Hofmann, Fabian Gwinner, Kevin Fuchs, Axel Winkelmann (2020). An Industry-Agnostic Approach for the Prediction of Return Shipments. AMCIS 2020 Proceedings.

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