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Publikationen

Seite 1 von 33.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

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

    In: Luca Longo; Sebastian Lapuschkin; Christin Seifert (Hrsg.). Explainable Artificial Intelligence, Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part III. xAI: World Conference on Explainable Artificial Intelligence (xAI-2024), July 17-19, Valletta, Malta, Pages 420-438, Communications in Computer and Information Science (CCIS), Vol. 2155, ISBN 978-3-031-63799-5, Springer, Cham, 2024.

  10. 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.