Institut für Wirtschaftsinformatik

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1. Constantin Houy; Oliver Gutermuth; Sharam Dadashnia; Peter Loos

   Digitale Polizeiarbeit

   In: Tanja Klenk; Frank Nullmeier; Göttrik Wewer. Handbuch Digitalisierung in Staat und Verwaltung. Pages 649-660, ISBN 978-3-658-37372-6, Springer VS, Wiesbaden, 2/2025.

2. Alexander Michael Rombach; Johannes Lahann; Tim Niesen; Peter Fettke

   Utilizing Deep Learning for Field-Level Information Extraction from German Real Estate Tax Notices

   In: Journal of Emerging Technologies in Accounting (JETA), Vol. 22, Pages 1-18, American Accounting Association, 12/2024.

3. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

   Augmenting post-hoc explanations for predictive process monitoring with uncertainty quantification via conformalized Monte Carlo dropout

   In: Data & Knowledge Engineering (DKE), Vol. 156 (March 2025), Pages 1-29, Elsevier B.V. 12/2024.

4. Deborah Baum; Kevin Baum; Sasha Zamani; Christian Bennoit; Dirk Werth

   Transparent Transparency Developing a Scheme for Understanding Transparency Requirements

   In: Bernhard Steffen (Hrsg.). Bridging the Gap Between AI and Reality - Second International Conference, Proceedings. International Conference on Bridging the Gap between AI and Reality (AiSoLA-2024), October 30 - November 3, Crete, Greece, Pages 55-73, Lecture Notes in Computer Science (LNCS), Vol. 15217, ISBN 978-3-031-75433-3, Springer, Cham, 12/2024.

5. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

   Counterfactual Explanations in the Big Picture: An Approach for Process Prediction-Driven Job-Shop Scheduling Optimization

   In: Cognitive Computation, Vol. 16, No. 5, Pages 2674-2700, Springer, 9/2024.

6. Sebastian Stephan; Josip Lovrekovic; Peter Fettke

   Addressing the Schema Representation Problem in Process Models Using Petri Nets - First Results Illustrated by the Dining Philosophers Problem

   In: Wirtschaftsinformatik 2024 Proceedings. Internationale Tagung Wirtschaftsinformatik (WI-2024), September 16-19, Würzburg, Germany, AIS Electronic Library (AISeL), 9/2024.

7. Peter Fettke

   Fünf Visionen für den Einsatz künstlicher Intelligenz im Steuerbereich

   In: Stefan Groß (Hrsg.). REthinking Tax (RET), Vol. 03 2024, Pages 52-58, Fachmedien Otto Schmidt, Düsseldorf, 5/2024.

8. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

   Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective

   In: Annals of Operations Research (AOR), Pages 1-40, Springer, 4/2024.

9. Alexander Berrang; Cai Hussung; Sarah Rübel; Eva Poxleitner; Peter Fettke

   The Adaptive Triplet: Integration of AI-based Learning into the Digital Twin

   Whitepaper, 2/2024.

10. Andreas Emrich; Oliver Gutermuth; Michael Frey; Peter Fettke; Peter Loos

    Towards a Model Factory Experimentation Environment for Cyber-Physical Twins

    In: Tung Bui (Hrsg.). Proceedings of the 57th Hawaiian International Conference on Systems Science. Hawaii International Conference on System Sciences (HICSS-57), January 3-6, University of Hawai'i, Manoa, HI, USA, 1/2024.

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