Extended multiplicative signal correction in vibrational spectroscopy, a tutorial | 2012/08/01 | English | 152 |
Drift compensation of gas sensor array data by Orthogonal Signal Correction | 2010/01/01 | English | 151 |
Chemometrics; what do we mean with it, and what do we want from it? | 1995/11/01 | English | 151 |
Ensemble deep kernel learning with application to quality prediction in industrial polymerization processes | 2018/03/01 | English | 151 |
mdatools – R package for chemometrics | 2020/03/01 | English | 151 |
A general-purpose program for multivariate data analysis | 1987/08/01 | English | 149 |
A comparative study of just-in-time-learning based methods for online soft sensor modeling | 2010/12/01 | English | 149 |
On-line monitoring of batch processes using multiway independent component analysis | 2004/05/01 | English | 147 |
TOMCAT: A MATLAB toolbox for multivariate calibration techniques | 2007/02/01 | English | 147 |
Comparison of performance of five common classifiers represented as boundary methods: Euclidean Distance to Centroids, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Learning Vector Quantization and Support Vector Machines, as dependent on data structure | 2009/01/01 | English | 146 |
Uniqueness and rotation ambiguities in Multivariate Curve Resolution methods | 2011/10/01 | English | 145 |
Revised DBSCAN algorithm to cluster data with dense adjacent clusters | 2013/01/01 | English | 144 |
A MATLAB toolbox for Principal Component Analysis and unsupervised exploration of data structure | 2015/12/01 | English | 142 |
A Bootstrap-VIP approach for selecting wavelength intervals in spectral imaging applications | 2010/01/01 | English | 142 |
PARAFAC and missing values | 2005/02/01 | English | 141 |
Interpretation of variable importance in Partial Least Squares with Significance Multivariate Correlation (sMC) | 2014/11/01 | English | 141 |
Interpretation of latent-variable regression models | 1989/12/01 | English | 139 |
The successive projections algorithm for spectral variable selection in classification problems | 2005/07/01 | English | 138 |
Calibration and assay development using the four-parameter logistic model | 1993/09/01 | English | 136 |
Principles and methodologies in self-modeling curve resolution | 2004/04/01 | English | 136 |
Partial robust M-regression | 2005/10/01 | English | 135 |
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling | 2006/02/01 | English | 135 |
A novel multivariate regression approach based on kernel partial least squares with orthogonal signal correction | 2005/10/01 | English | 133 |
Multivariate calibration standardization | 1994/11/01 | English | 133 |
Understanding and using genetic algorithms Part 2. Representation, configuration and hybridization | 1994/11/01 | English | 132 |
Class-modeling techniques, classic and new, for old and new problems | 2008/10/01 | English | 132 |
Chromatogram baseline estimation and denoising using sparsity (BEADS) | 2014/12/01 | English | 131 |
Baseline correction by improved iterative polynomial fitting with automatic threshold | 2006/05/01 | English | 131 |
Calculation of the reliability of classification in discriminant partial least-squares binary classification | 2009/02/01 | English | 130 |
Reducing over-optimism in variable selection by cross-model validation | 2006/12/01 | English | 128 |