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On The Reliability Of Machine Learning Applications In Manufacturing
  Environments

On The Reliability Of Machine Learning Applications In Manufacturing Environments

13 December 2021
Nicolas Jourdan
S. Sen
E. J. Husom
Enrique Garcia-Ceja
Tobias Biegel
J. Metternich
    OOD
ArXivPDFHTML

Papers citing "On The Reliability Of Machine Learning Applications In Manufacturing Environments"

4 / 4 papers shown
Title
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
Suk Ki Lee
Hyunwoong Ko
AI4CE
54
0
0
30 Apr 2025
Conformal Prediction in Multi-User Settings: An Evaluation
Conformal Prediction in Multi-User Settings: An Evaluation
Enrique Garcia-Ceja
Luciano Garcia-Banuelos
Nicolas Jourdan
22
1
0
08 Dec 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,660
0
05 Dec 2016
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
285
9,136
0
06 Jun 2015
1