ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.06317
  4. Cited By
Learning Uncertainty with Artificial Neural Networks for Improved
  Predictive Process Monitoring

Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring

13 June 2022
Hans Weytjens
Jochen De Weerdt
ArXivPDFHTML

Papers citing "Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring"

4 / 4 papers shown
Title
Explainability through uncertainty: Trustworthy decision-making with
  neural networks
Explainability through uncertainty: Trustworthy decision-making with neural networks
Arthur Thuy
Dries F. Benoit
33
13
0
15 Mar 2024
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
Nijat Mehdiyev
Maxim Majlatow
Peter Fettke
6
11
0
13 Apr 2023
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
741
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
9,042
0
06 Jun 2015
1