Deep multiblock predictive modelling using parallel input convolutional neural networks.
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DOI: 10.1016/j.aca.2021.338520
Abstract: In the domain of chemometrics, multiblock data analysis is widely performed for exploring or fusing data from multiple sources. Commonly used methods for multiblock predictive analysis are the extensions of latent space modelling approaches. However,… read more here.
Keywords: parallel input; cnns based; multiblock; deep multiblock ... See more keywords