A consensus orthogonal partial least squares discriminant analysis (OPLS-DA) strategy for multiblock Omics data fusion von Boccard, Julien, Rutledge, Douglas N.

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Chemometric pre-processing can negatively affect the performance of near-infrared spectroscopy models for fruit quality prediction von Mishra, Puneet, Rutledge, Douglas N., Roger, Jean-Michel, Wali, Khan, Khan, Haris Ahmad

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New data preprocessing trends based on ensemble of multiple preprocessing techniques von Mishra, Puneet, Biancolillo, Alessandra, Roger, Jean Michel, Marini, Federico, Rutledge, Douglas N.

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Two standard-free approaches to correct for external influences on near-infrared spectra to make models widely applicable von Mishra, Puneet, Roger, Jean Michel, Rutledge, Douglas N., Woltering, Ernst

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Independent components analysis (ICA) at the “cocktail-party” in analytical chemistry von Monakhova, Yulia B., Rutledge, Douglas N.

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Automatic de-noising of close-range hyperspectral images with a wavelength-specific shearlet-based image noise reduction method von Mishra, Puneet, Karami, Azam, Nordon, Alison, Rutledge, Douglas N., Roger, Jean-Michel

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Recent trends in multi-block data analysis in chemometrics for multi-source data integration von Mishra, Puneet, Roger, Jean-Michel, Jouan-Rimbaud-Bouveresse, Delphine, Biancolillo, Alessandra, Marini, Federico, Nordon, Alison, Rutledge, Douglas N.

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Assessment of the microbial interplay during anaerobic co-digestion of wastewater sludge using common components analysis von Puig-Castellvi, Francesc, Cardona, Laetitia, Bouveresse, Delphine Jouan-Rimbaud, Cordella, Christophe B. Y., Mazeas, Laurent, Rutledge, Douglas N., Chapleur, Olivier

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PLS/OPLS models in metabolomics: the impact of permutation of dataset rows on the K-fold cross-validation quality parameters von Triba, Mohamed N, Le Moyec, Laurence, Amathieu, Roland, Goossens, Corentine, Bouchemal, Nadia, Nahon, Pierre, Rutledge, Douglas N, Savarin, Philippe

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Detection of orange juice frauds using front-face fluorescence spectroscopy and Independent Components Analysis von Ammari, Faten, Redjdal, Lamia, Rutledge, Douglas N.

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MATLAB in electrochemistry: A review von Jalalvand, Ali R., Roushani, Mahmoud, Goicoechea, Hector C., Rutledge, Douglas N., Gu, Hui-Wen

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Are standard sample measurements still needed to transfer multivariate calibration models between near-infrared spectrometers? The answer is not always von Mishra, Puneet, Nikzad-Langerodi, Ramin, Marini, Federico, Roger, Jean Michel, Biancolillo, Alessandra, Rutledge, Douglas N., Lohumi, Santosh

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Metataxonomics, metagenomics and metabolomics analysis of the influence of temperature modification in full-scale anaerobic digesters von Puig-Castellví, Francesc, Midoux, Cédric, Guenne, Angéline, Conteau, Delphine, Franchi, Oscar, Bureau, Chrystelle, Madigou, Céline, Jouan-Rimbaud Bouveresse, Delphine, Kroff, Pablo, Mazéas, Laurent, Rutledge, Douglas N., Gaval, Gilberte, Chapleur, Olivier

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SPORT pre-processing can improve near-infrared quality prediction models for fresh fruits and agro-materials von Mishra, Puneet, Roger, Jean Michel, Rutledge, Douglas N., Woltering, Ernst

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Determination of the optimal number of components in independent components analysis von Kassouf, Amine, Jouan-Rimbaud Bouveresse, Delphine, Rutledge, Douglas N.

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Deep learning for near-infrared spectral data modelling: Hypes and benefits von Mishra, Puneet, Passos, Dário, Marini, Federico, Xu, Junli, Amigo, Jose M., Gowen, Aoife A., Jansen, Jeroen J., Biancolillo, Alessandra, Roger, Jean Michel, Rutledge, Douglas N., Nordon, Alison

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Comparison of Principal Components Analysis, Independent Components Analysis and Common Components Analysis von Rutledge, Douglas N.

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A synthetic review of some recent extensions of ComDim von Jouan‐Rimbaud Bouveresse, Delphine, Rutledge, Douglas N.

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Monitoring of cellulose-rich biowaste co-digestion with 3D fluorescence spectroscopy and mass spectrometry-based metabolomics von Chapleur, Olivier, Guenne, Angéline, Rutledge, Douglas N., Puig-Castellví, Francesc

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MBA-GUI: A chemometric graphical user interface for multi-block data visualisation, regression, classification, variable selection and automated pre-processing von Mishra, Puneet, Roger, Jean Michel, Rutledge, Douglas N., Biancolillo, Alessandra, Marini, Federico, Nordon, Alison, Jouan-Rimbaud-Bouveresse, Delphine

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