publication venue for
- Multivariate image analysis in the process industries: A review 2012
- Adaptive batch monitoring using hierarchical PCA 1998
- Process analysis, monitoring and diagnosis, using multivariate projection methods 1995
- Multivariate design of process experiments (M-DOPE) 1994
- Multivariate data analysis applied to low-density polyethylene reactors 1992
- Estimating the covariance matrix of the coefficient estimator in multivariate partial least squares regression with chemical applications. 214:104328-104328. 2021
- Quantitative analysis of soybean protein content by terahertz spectroscopy and chemometrics. 208:104199-104199. 2021
- A new model selection criterion for partial least squares regression. 169:64-78. 2017
- Setting simultaneous specifications on multiple raw materials to ensure product quality and minimize risk. 157:96-103. 2016
- Mixture designs and models for the simultaneous selection of ingredients and their ratios. 86:17-25. 2007
- Multi-block PLS modeling for L-shape data structures with applications to mixture modeling. 85:186-194. 2007
- On the extraction of spectral and spatial information from images. 85:119-130. 2007
- The impact of missing measurements on PCA and PLS prediction and monitoring applications. 80:1-12. 2006
- Automatic masking in multivariate image analysis using support vector machines. 79:42-54. 2005
- Product transfer between sites using Joint-Y PLS. 79:101-114. 2005
- Estimation of missing data using latent variable methods with auxiliary information. 78:41-50. 2005
- Abnormal situation detection and projection methods—industrial applications. October 28–29, 2003. Hamilton, Ontario, Canada. 76:215-220. 2005
- Principal component analysis of FT-IR spectra for cationic photopolymerization of mixtures of two monomers. 75:77-90. 2005
- Post processing methods (PLS–CCA): simple alternatives to preprocessing methods (OSC–PLS). 73:199-205. 2004
- Image texture analysis: methods and comparisons. 72:57-71. 2004
- Product optimization and control in the latent variable space of nonlinear PLS models. 70:63-74. 2004
- Multivariate image analysis and regression for prediction of coating content and distribution in the production of snack foods. 67:125-144. 2003
- Analysis and optimization of a polyurethane reaction injection molding (RIM) process using multivariate projection methods. 65:17-33. 2003
- Multivariate analysis and optimization of process variable trajectories for batch processes. 51:125-137. 2000
- Industrial applications of product design through the inversion of latent variable models. 50:199-210. 2000
- Latent variable multivariate regression modeling. 48:167-180. 1999
- Missing data methods in PCA and PLS: Score calculations with incomplete observations. 35:45-65. 1996
- Multi-way partial least squares in monitoring batch processes. 30:97-108. 1995