Marco Maggipinto, Gian Antonio Susto, Federico Zocco, Seán F. McLoone
What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction
CASE, 2019.
@inproceedings{CASE-2019-MaggipintoSZM, author = "Marco Maggipinto and Gian Antonio Susto and Federico Zocco and Seán F. McLoone", booktitle = "{Proceedings of the 15th International Conference on Automation Science and Engineering}", doi = "10.1109/COASE.2019.8842942", isbn = "978-1-7281-0356-3", pages = "1796--1801", publisher = "{IEEE}", title = "{What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction}", year = 2019, }