Multi-label neural networks with optimal thresholding outperform binary relevance PLS-DA on synthetic IR spectra for multi-gas identification when SNR and training sample size are sufficient.
FTIR spectroscopy and PLS-DA classification and prediction of four commercial grade virgin olive oils from Morocco,
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Multi-label Classification with Optimal Thresholding for Multi-composition Spectroscopic Analysis
Multi-label neural networks with optimal thresholding outperform binary relevance PLS-DA on synthetic IR spectra for multi-gas identification when SNR and training sample size are sufficient.