Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing

22 September 2020

Papers citing "Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing"

8 / 8 papers shown

Title
Explainable Artificial Intelligence Techniques for Accurate Fault Detection and Diagnosis: A Review Ahmed Maged Salah Haridy Herman Shen 30 0 0 17 Apr 2024
Designing Explainable Predictive Machine Learning Artifacts: Methodology and Practical Demonstration Giacomo Welsch Peter Kowalczyk 25 1 0 20 Jun 2023
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective Nijat Mehdiyev Maxim Majlatow Peter Fettke 35 11 0 13 Apr 2023
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas Janik-Vasily Benzin Stefanie Rinderle-Ma AI4TS 43 2 0 08 Feb 2023
Predictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions Stefanie Rinderle-Ma Karolin Winter Janik-Vasily Benzin 12 10 0 10 May 2022
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints Patrick Zschech Sven Weinzierl Nico Hambauer Sandra Zilker Mathias Kraus 21 14 0 19 Apr 2022
Multivariate Business Process Representation Learning utilizing Gramian Angular Fields and Convolutional Neural Networks P. Pfeiffer Johannes Lahann Peter Fettke SSL 18 17 0 15 Jun 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,684 0 28 Feb 2017