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Publications

Page 1 of 3.

  1. 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.

  2. 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.

  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. Kamala Aliyeva; Nijat Mehdiyev

    Uncertainty-aware multi-criteria decision analysis for evaluation of explainable artificial intelligence methods: A use case from the healthcare domain

    In: Information Sciences, Vol. 657, Page 119987, Elsevier, 1/2024.

  5. 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.

  6. Busra Sebin; Nazim Taskin; Nijat Mehdiyev

    Exploring the Intersection of Large Language Models (LLMs) and Explainable AI (XAI): A Systematic Literature Review (Research-in-Progress)

    In: Lech Janczewski; Galal H. Galal-Edeen; Barbara Krumay (Hrsg.). Proceedings of 2024 International Conference on Information Resources Management. International Conference on Information Resources Management (Conf-IRM-2024), May 26-28, Cairo, Egypt, ISBN 978-0-473-71035-4, AIS Electronic Library (AISeL), 2024.

  7. Nijat Mehdiyev; Lea Götz; Johannes Lahann; Peter Fettke

    Deep learning-based clustering of processes and their visual exploration: An industry 4.0 use case for small, medium‐sized enterprises

    In: Expert Systems (EXSY), Vol. 39, Pages 1-24, Wiley, 2022.

  8. Nijat Mehdiyev; Constantin Houy; Oliver Gutermuth; Lea Götz; Peter Fettke

    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, Duisburg-Essen, Germany, Pages 1-17, Universität Duisburg-Essen, 3/2021.

  9. Lea Götz; Nijat Mehdiyev; Peter Fettke

    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 284-289, Vol. 97, 2/2021.

  10. Nijat Mehdiyev; Peter Fettke

    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. 937, ISBN 9783030649487, Springer, 2021.