All items in our database (reverse publication date order)

Title	Author(s)	Year	Tags
Now You See It: An Introduction to Visual Data Sensemaking, Second Edition	Few	2021	visualization
Establishing Multivariate Specification Regions for Incoming Raw Materials Using Projection to Latent Structure Models: Comparison Between Direct Mapping and Model Inversion.	Paris, Duchesne and Poulin	2021	chemometrics model inversion specifications
General Framework for Latent Variable Model Inversion for the Design and Manufacturing of New Products	Tomba, Barolo and García-Muñoz	2012	blend ratios model inversion product development
Data handling in hyperspectral image analysis	Burger and Gowen	2011	hyperspectral image reduced rank
Real-time synchronization of batch trajectories for on-line multivariate statistical process control using Dynamic Time Warping	González-Martínez, Ferrer and Westerhuis	2011	batch missing data monitoring
Review of robust multivariate statistical methods in high dimension	Filzmoser and Todorov	2011	R review robust
Multivariate image analysis: A review with applications	Prats-Montalbán, De Juan and Ferrer	2011	hyperspectral image review texture
Latent variable methods: Case studies in the food industry	Nichols	2011	application classification experiments image NIR product development
Time series hyperspectral chemical imaging data: Challenges, solutions and applications	Gowen, Marini, Esquerre, O'Donnell, Downey and Burger	2011	hyperspectral time series
Review of adaptation mechanisms for data-driven soft sensors	Kadlec, Grbić and Gabrys	2011	adaptive review soft sensors
One-class classifiers	Brereton	2011	classification
Variable selection in regression - a tutorial	Andersen and Bro	2010	review tutorial variable selection
Some common misunderstandings in chemometrics	Kjeldahl and Bro	2010	interpretation PCA plots PLS
Principles of proper validation: use and abuse of re-sampling for validation	Esbensen and Geladi	2010	cross validation resampling
Data-driven soft sensors in the process industry	Kadlec, Gabrys and Strandt	2009	review soft sensors
PLS works	Bro and Eldén	2009	PLS theory
Missing data	Arteaga and Ferrer	2009	expectation maximization missing data multiple imputation
Batch process modeling and MSPC	Wold, Kettaneh-Wold, MacGregor and Dunn	2009	batch feature extraction monitoring optimization unfolding
Cross-validation of component models: A critical look at current methods	Bro, Kjeldahl, Smilde and Kiers	2008	cross validation PCA
Sequential design of mixture experiments for the development of new products	Muteki and MacGregor	2007	blend ratios experiments mixture property product development
Mixture designs and models for the simultaneous selection of ingredients and their ratios	Muteki, MacGregor and Ueda	2007	product development
On the extraction of spectral and spatial information from images	Liu and MacGregor	2007	hyperspectral image multiresolution spatial wavelet
On the variable contributions to the \(D\)-statistic	Alvarez, Brandolin and Sánchez	2007	contribution plots fault diagnosis Hotelling's T2 monitoring SPC
Soft Sensors for Monitoring and Control of Industrial Processes	Fortuna, Graziani, Rizzo and Xibilia	2007	soft sensors
A systematic approach for soft sensor development	Lin, Recke, Knudsen and Jørgensen	2007	robust soft sensors

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