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Quantifying and Explaining Machine Learning Uncertainty in Predictive
  Process Monitoring: An Operations Research Perspective

Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective

13 April 2023
Nijat Mehdiyev
Maxim Majlatow
Peter Fettke
ArXivPDFHTML

Papers citing "Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective"

2 / 2 papers shown
Title
Identifying Drivers of Predictive Aleatoric Uncertainty
Identifying Drivers of Predictive Aleatoric Uncertainty
Pascal Iversen
Simon Witzke
Katharina Baum
Bernhard Y. Renard
UD
43
1
0
12 Dec 2023
Explaining Hyperparameter Optimization via Partial Dependence Plots
Explaining Hyperparameter Optimization via Partial Dependence Plots
Julia Moosbauer
J. Herbinger
Giuseppe Casalicchio
Marius Lindauer
Bernd Bischl
36
55
0
08 Nov 2021
1