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Giannetti, C..,Ransing, R.S..,Ransing, M.R..,Bould, D.C..,Gethin, D.T.. & Sienz, J.. (2014). A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data. Computers & Industrial Engineering 72, 217-229.
(2013). A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in order to reduce defects. Computers in Industry 64(5), 514-523.
Giannetti, Cinzia. (2017). A framework for improving process robustness with quantification of uncertainties in Industry 4.0. Presented at INnovations in Intelligent SysTems and Applications (INISTA), 2017 IEEE International Conference on,, 189-194. doi:10.1109/INISTA.2017.8001155