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Semi-supervised Learning for Data-driven Soft-sensing of Biological and
  Chemical Processes

Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes

Chemical Engineering and Science (CES), 2021
29 July 2021
E. Esche
Torben Talis
J. Weigert
Gerardo Brand-Rihm
Byungjun You
Christian Hoffmann
J. Repke
ArXiv (abs)PDFHTML

Papers citing "Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes"

2 / 2 papers shown
Title
A deep latent variable model for semi-supervised multi-unit soft sensing
  in industrial processes
A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes
B. Grimstad
Kristian Lovland
Lars Imsland
V. Gunnerud
134
1
0
18 Jul 2024
Multi-task and few-shot learning in virtual flow metering
Multi-task and few-shot learning in virtual flow meteringNordic Machine Intelligence (NMI), 2023
B. Grimstad
Fadhil G. Al-Amran
Maitham G. Yousif
251
2
0
27 Sep 2023
1