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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

E. Esche
Torben Talis
J. Weigert
Gerardo Brand-Rihm
Byungjun You
Christian Hoffmann
J. Repke
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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
36
1
0
18 Jul 2024
Multi-unit soft sensing permits few-shot learning
Multi-unit soft sensing permits few-shot learning
B. Grimstad
Fadhil G. Al-Amran
Maitham G. Yousif
38
1
0
27 Sep 2023