Chemometrics and Intelligent Laboratory Systems

Title Publication Date Language Citations
Extended multiplicative signal correction in vibrational spectroscopy, a tutorial2012/08/01English152
Drift compensation of gas sensor array data by Orthogonal Signal Correction2010/01/01English151
Chemometrics; what do we mean with it, and what do we want from it?1995/11/01English151
Ensemble deep kernel learning with application to quality prediction in industrial polymerization processes2018/03/01English151
mdatools – R package for chemometrics2020/03/01English151
A general-purpose program for multivariate data analysis1987/08/01English149
A comparative study of just-in-time-learning based methods for online soft sensor modeling2010/12/01English149
On-line monitoring of batch processes using multiway independent component analysis2004/05/01English147
TOMCAT: A MATLAB toolbox for multivariate calibration techniques2007/02/01English147
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 structure2009/01/01English146
Uniqueness and rotation ambiguities in Multivariate Curve Resolution methods2011/10/01English145
Revised DBSCAN algorithm to cluster data with dense adjacent clusters2013/01/01English144
A MATLAB toolbox for Principal Component Analysis and unsupervised exploration of data structure2015/12/01English142
A Bootstrap-VIP approach for selecting wavelength intervals in spectral imaging applications2010/01/01English142
PARAFAC and missing values2005/02/01English141
Interpretation of variable importance in Partial Least Squares with Significance Multivariate Correlation (sMC)2014/11/01English141
Interpretation of latent-variable regression models1989/12/01English139
The successive projections algorithm for spectral variable selection in classification problems2005/07/01English138
Calibration and assay development using the four-parameter logistic model1993/09/01English136
Principles and methodologies in self-modeling curve resolution2004/04/01English136
Partial robust M-regression2005/10/01English135
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling2006/02/01English135
A novel multivariate regression approach based on kernel partial least squares with orthogonal signal correction2005/10/01English133
Multivariate calibration standardization1994/11/01English133
Understanding and using genetic algorithms Part 2. Representation, configuration and hybridization1994/11/01English132
Class-modeling techniques, classic and new, for old and new problems2008/10/01English132
Chromatogram baseline estimation and denoising using sparsity (BEADS)2014/12/01English131
Baseline correction by improved iterative polynomial fitting with automatic threshold2006/05/01English131
Calculation of the reliability of classification in discriminant partial least-squares binary classification2009/02/01English130
Reducing over-optimism in variable selection by cross-model validation2006/12/01English128