| One-dimensional convolutional neural networks for spectroscopic signal regression |
22 |
| Multi-similarity measurement driven ensemble just-in-time learning for soft sensing of industrial processes |
20 |
| Chemometrics in laser-induced breakdown spectroscopy |
17 |
| Differentiation of stabilized nitrocellulose during artificial aging: Spectroscopy methods coupled with principal component analysis |
15 |
| Modified ridge-type estimator to combat multicollinearity: Application to chemical data |
13 |
| A two-layer ensemble learning framework for data-driven soft sensor of the diesel attributes in an industrial hydrocracking process |
13 |
| Multiclass partial least squares discriminant analysis: Taking the right wayA critical tutorial |
9 |
| A practical convolutional neural network model for discriminating Raman spectra of human and animal blood |
9 |
| Is it possible to improve the quality of predictions from an intelligent use of multiple QSAR/QSPR/QSTR models? |
9 |
| Model and estimators for partial least squares regression |
8 |
| Developing a ridge estimator for the gamma regression model |
8 |
| Determination of optimum number of components in partial least squares regression from distributions of the root-mean-squared error obtained by Monte Carlo resampling |
8 |
| End-to-end quantitative analysis modeling of near-infrared spectroscopy based on convolutional neural network |
8 |
| Local partial least squares based on global PLS scores |
7 |
| Performance of methods that separate common and distinct variation in multiple data blocks |
7 |
| Quantitative analysis based on spectral shape deformation: A review of the theory and its applications |
6 |
| Fault detection and diagnosis strategy based on a weighted and combined index in the residual subspace associated with PCA |
5 |
| Uniform experimental design in chemometrics |
5 |
| Assorted control charts: An efficient statistical approach to monitor pH values in ecotoxicology lab |
5 |
| Simultaneous construction of dual Borgen plots. II: Algorithmic enhancement for applications to noisy spectral data |
5 |
| Partial least squares discriminant analysis for chemometrics and metabolomics: How scores, loadings, and weights differ according to two common algorithms |
5 |
| Projection to latent structures with orthogonal constraints for metabolomics data |
5 |
| Topological characteristics of iterated line graphs in QSAR problem: Octane numbers of saturated hydrocarbons |
4 |
| Confidence ellipsoids for ASCA models based on multivariate regression theory |
4 |
| Classification and statistical analysis of hydrothermal seafloor rocks measured underwater using laser-induced breakdown spectroscopy |
4 |
| A review of orthogonal projections for calibration |
4 |
| A similarity index for comparing coupled matrices |
4 |
| Classification of six herbal bioactive compositions employing LAPV and PLS-DA |
4 |
| Iterative deflation algorithm, eigenvalue equations, and PLS2 |
4 |
| Design of Experiments: A comparison study from the non-expert user's perspective |
4 |
| Screening for linearly and nonlinearly related variables in predictive cheminformatic models |
4 |
| Combination of heuristic optimal partner bands for variable selection in near-infrared spectral analysis |
4 |
| Ensemble calibration for the spectral quantitative analysis of complex samples |
4 |
| Decentralized monitoring for large-scale process using copula-correlation analysis and Bayesian inference-based multiblock principal component analysis |
3 |
| Current challenges in second-order calibration of hyphenated chromatographic data for analysis of highly complex samples |
3 |
| Comparison of validation variants by sum of ranking differences and ANOVA |
3 |
| Just-in-time learning-multiple subspace support vector data description used for non-Gaussian dynamic batch process monitoring |
3 |
| Data augmentation in food science: Synthesising spectroscopic data of vegetable oils for performance enhancement |
3 |
| Ensemble learning model based on selected diverse principal component analysis models for process monitoring |
3 |
| Orders of magnitude speed increase in partial least squares feature selection with new simple indexing technique for very tall data sets |
3 |
| Baseline and interferent correction by the Tikhonov regularization framework for linear least squares modeling |
3 |
| Linear discriminant analysis, partial least squares discriminant analysis, and soft independent modeling of class analogy of experimental and simulated near-infrared spectra of a cultivation medium for mammalian cells |
3 |
| NIR hyperspectral imaging spectroscopy and chemometrics for the discrimination of roots and crop residues extracted from soil samples |
3 |
| Support vector machine regression on selected wavelength regions for quantitative analysis of caffeine in tea leaves by near infrared spectroscopy |
3 |
| Using inclusion complexes for achieving second-order advantage: A novel technique for cinnamic acid derivatives analysis with second-order calibration methods |
3 |
| Early detection of undesirable deviations in must fermentation using a portable FTIR-ATR instrument and multivariate analysis |
3 |
| Comparative chemometric analysis for classification of acids and bases via a colorimetric sensor array |
3 |
| Hybrid central composite design for simultaneous optimization of removal of methylene blue and alizarin red S from aqueous solutions using Vitis tree leaves |
3 |
| A frequency-localized recursive partial least squares ensemble for soft sensing |
3 |
| A comparison of two PLS-based approaches to structural equation modeling |
3 |
