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Learning Uncertainty with Artificial Neural Networks for Improved
  Remaining Time Prediction of Business Processes

Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes

12 May 2021
Hans Weytjens
Jochen De Weerdt
    BDL
ArXivPDFHTML

Papers citing "Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes"

5 / 5 papers shown
Title
Prescriptive Process Monitoring Under Resource Constraints: A
  Reinforcement Learning Approach
Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach
Mahmoud Shoush
Marlon Dumas
16
1
0
13 Jul 2023
When to intervene? Prescriptive Process Monitoring Under Uncertainty and
  Resource Constraints
When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints
Mahmoud Shoush
Marlon Dumas
17
12
0
15 Jun 2022
Learning Uncertainty with Artificial Neural Networks for Improved
  Predictive Process Monitoring
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring
Hans Weytjens
Jochen De Weerdt
11
17
0
13 Jun 2022
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
742
0
06 Jun 2015
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
9,109
0
06 Jun 2015
1