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Publications

Page 3 of 31.

  1. Oliver Gutermuth; Constantin Houy; Peter Fettke

    Robotic Process Automation for Public Administration Enhancement

    In: Christian Czarnecki; Peter Fettke (Hrsg.). Robotic Process Automation - Management, Technology, Applications. Pages 1-19, ISBN 978-3-11-067668-6, …

  2. Applications of RPA in manufacturing

    In: Christian Czarnecki; Peter Fettke. Robotic Process Automation. Chapter 16, Pages 315-346, ISBN 9783110676693, De Gruyter Oldenbourg, …

  3. Explainable Artificial Intelligence (XAI) Supporting Public Administration Processes – On the Potential of XAI in Tax Audit Processes

    In: Proceedings of the 16. International Conference on Wirtschaftsinformatik. Internationale Tagung Wirtschaftsinformatik (WI-2021), March 9-11, …

  4. Dominic Neu; Johannes Lahann; Peter Fettke

    A systematic literature review on state-of-the-art deep learning methods for process prediction

    In: Artificial Intelligence Review, Vol. Online, Springer Nature, 3/2021.

  5. Meike Ullrich; Martin Forell; Constantin Houy; Peter Pfeiffer; Selina Schüler; Tobias Stottrop; Brian Willems; Peter Fettke; Andreas Oberweis

    Platform architecture for the diagram assessment domain

    In: S. Götz; L. Linsbauer; I. Schaefer; A. Wortmann (Hrsg.). Software Engineering 2021 Satellite Events. Software Engineering Conference (SE-2021), …

  6. Manufacturing Execution Systems driven Process Analytics: A Case Study from Individual Manufacturing

    In: CIRP 8th Conference on Assembly Technology and Systems. CIRP Conference on Assembly Technology and Systems (CIRP CATS-2021), Athens, Greece, Pages …

  7. A Case Study on the Application of Process Mining in Combination with Journal Entry Tests for Financial Auditing

    In: Data Analytics, Control, and Risk Management. Hawaii International Conference on System Sciences (HICSS-2021), January 4-8, Hawaii/Virtual, HI, …

  8. Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring

    In: Witold Pedrycz; Shyi-Ming Chen (Hrsg.). Interpretable Artificial Intelligence: A Perspective of Granular Computing. Chapter 1, Pages 1-28, Vol. …

  9. Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing

    In: ECIS 2021 - 29th European Conference on Information System. European Conference on Information Systems (ECIS-2021), 29th, June 14-16, Marrakech, …

  10. Peter Pfeiffer; Johannes Lahann; Peter Fettke

    Multivariate Business Process Representation Learning Utilizing Gramian Angular Fields and Convolutional Neural Networks

    In: Artem Polyvyanyy; Moe Thandar Wynn; Amy Van Looy; Manfred Reichert (Hrsg.). Business Process Management. Business Process Management (BPM-2021), …