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. Chapter N.N. Pages 1-12, ISBN 978-3-658-37372-6, Springer VS Wiesbaden, Wiesbaden, 1/2025.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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, Pages 1-27, Springer, 2024.

7. Sayed Muddashir Hossain; Jan Alexandersson; Philipp Müller

   M3TCM: Multi-modal Multi-task Context Model for Utterance Classification in Motivational Interviews

   In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation. Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING-2024), ACL, 2024.

8. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

   Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring

   In: L. Longo (Hrsg.). Second World Conference on Explainable Artificial Intelligence. xAI: World Conference on Explainable Artificial Intelligence (xAI), July 17-19, Valletta, Malta, Pages 420-438, Communications in Compute, Springer, Cham, 2024.

9. Peter Pfeiffer; Peter Fettke

   Trace vs. Time: Entropy Analysis and Event Predictability of Traceless Event Sequencing

   In: Andrea Marrella; Manuel Resinas; Mieke Jans; Michael Rosemann (Hrsg.). Business Process Management Forum. Business Process Management (BPM-2024), Cham, Pages 72-89, ISBN 978-3-031-70418-5, Springer Nature Switzerland, 2024.

10. Michael Grohs; Peter Pfeiffer; Jana-Rebecca Rehse

    Proactive conformance checking: An approach for predicting deviations in business processes

    In: Information Systems (IS), Vol. 102461, Springer, 2024.

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