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Communicating Uncertainty in Machine Learning Explanations: A
  Visualization Analytics Approach for Predictive Process Monitoring

Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring

12 April 2023
Nijat Mehdiyev
Maxim Majlatow
Peter Fettke
ArXivPDFHTML

Papers citing "Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring"

2 / 2 papers shown
Title
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
56
0
08 Nov 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1