2 citations · 5 across the 7 of their papers we have counts for
7 papers
Once and for all: how to compose modules -- The composition calculus
Peter Fettke, Wolfgang Reisig
Computability theory is traditionally conceived as the theoretical basis of informatics. Nevertheless, numerous proposals transcend computability theory, in particular by emphasizi…
Towards a Theoretical Foundation of Process Science
Peter Fettke, Wolfgang Reisig
Process science is a highly interdisciplinary field of research. Despite numerous proposals, process science lacks an adequate understanding of the core concepts of the field, incl…
Interpretable and Explainable Machine Learning Methods for Predictive Process Monitoring: A Systematic Literature Review
Nijat Mehdiyev, Maxim Majlatow, Peter Fettke
This paper presents a systematic literature review (SLR) on the explainability and interpretability of machine learning (ML) models within the context of predictive process mining,…
A Discussion on Generalization in Next-Activity Prediction
Luka Abb, Peter Pfeiffer, Peter Fettke +1
Next activity prediction aims to forecast the future behavior of running process instances. Recent publications in this field predominantly employ deep learning techniques and eval…
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective
Nijat Mehdiyev, Maxim Majlatow, Peter Fettke
This paper introduces a comprehensive, multi-stage machine learning methodology that effectively integrates information systems and artificial intelligence to enhance decision-maki…
Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring
Nijat Mehdiyev, Maxim Majlatow, Peter Fettke
As data-driven intelligent systems advance, the need for reliable and transparent decision-making mechanisms has become increasingly important. Therefore, it is essential to integr…