Guest Editorial Special Issue on Learning from Imperfect Data for Industrial Automation

Ping Zhou; Xuewu Dai; Kyriakos G. Vamvoudakis; Jan Faigl; Hong Wang

doi:10.1109/tase.2024.3374132

Guest Editorial Special Issue on Learning from Imperfect Data for Industrial Automation

Ping Zhou^*, Xuewu Dai, Kyriakos G. Vamvoudakis, Jan Faigl, Hong Wang

^*Corresponding author for this work

Mathematics, Physics and Electrical Engineering

Research output: Contribution to journal › Editorial › peer-review

Original language	English
Pages (from-to)	1088-1091
Number of pages	4
Journal	IEEE Transactions on Automation Science and Engineering
Volume	21
Issue number	2
DOIs	https://doi.org/10.1109/tase.2024.3374132
Publication status	Published - 1 Apr 2024

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10.1109/tase.2024.3374132

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title = "Guest Editorial Special Issue on Learning from Imperfect Data for Industrial Automation",

author = "Ping Zhou and Xuewu Dai and Vamvoudakis, {Kyriakos G.} and Jan Faigl and Hong Wang",

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AU - Dai, Xuewu

AU - Vamvoudakis, Kyriakos G.

AU - Faigl, Jan

AU - Wang, Hong

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Guest Editorial Special Issue on Learning from Imperfect Data for Industrial Automation

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