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Peter Fettke

Interpretable and Explainable Machine Learning Methods for Predictive Process Monitoring: A Systematic Literature Review

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Dec 29, 2023
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A Discussion on Generalization in Next-Activity Prediction

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Sep 18, 2023
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Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective

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Apr 13, 2023
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Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring

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Apr 12, 2023
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Towards Automated Process Planning and Mining

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Aug 18, 2022
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Discrete models of continuous behavior of collective adaptive systems

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Apr 26, 2022
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Multivariate Business Process Representation Learning utilizing Gramian Angular Fields and Convolutional Neural Networks

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Jun 15, 2021
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A systematic literature review on state-of-the-art deep learning methods for process prediction

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Jan 26, 2021
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Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing

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Sep 22, 2020
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Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring

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Sep 12, 2020
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