PLS-DA vs sparse PLS-DA in food traceability. A case study: Authentication of avocado samples

Geographical Origin Authentication of Agri-Food Products: A Review

(2020) Katerina Katerinopoulou et al.   Foods

Rapid discrimination of Italian Prosecco wines by head-space gas-chromatography basing on the volatile profile as a chemometric fingerprint

(2020) Tiziana Forleo et al.   EUROPEAN FOOD RESEARCH AND TECHNOLOGY

Current trends and recent advances on food authenticity technologies and chemometric approaches

(2019) Sonia Medina et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Differentiation of avocados according to their botanical variety using liquid chromatographic fingerprinting and multivariate classification tree

(2019) Sandra Martín‐Torres et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Comparison of different classification algorithms to identify geographic origins of olive oils

(2019) Ozgur Gumus et al.   JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE

Validation requirements of screening analytical methods based on scenario-specified applicability indicators

(2019) Luis Cuadros-Rodríguez et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Group-wise partial least square regression

(2017) José Camacho et al.   JOURNAL OF CHEMOMETRICS

Chromatographic fingerprinting: An innovative approach for food 'identitation' and food authentication – A tutorial

(2016) Luis Cuadros-Rodríguez et al.   ANALYTICA CHIMICA ACTA

Quality performance metrics in multivariate classification methods for qualitative analysis

(2016) Luis Cuadros-Rodríguez et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

A tutorial review: Metabolomics and partial least squares-discriminant analysis – a marriage of convenience or a shotgun wedding

(2015) Piotr S. Gromski et al.   ANALYTICA CHIMICA ACTA

Practical comparison of sparse methods for classification of Arabica and Robusta coffee species using near infrared hyperspectral imaging

(2015) Rosalba Calvini et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Multivariate Exploratory Data Analysis (MEDA) Toolbox for Matlab

(2015) José Camacho et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Sparse models by iteratively reweighted feature scaling: a framework for wavelength and sample selection

(2013) Erik Andries   JOURNAL OF CHEMOMETRICS

A review of variable selection methods in Partial Least Squares Regression

(2012) Tahir Mehmood et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Review of sparse methods in regression and classification with application to chemometrics

(2012) Peter Filzmoser et al.   JOURNAL OF CHEMOMETRICS

A comparison of partial least squares (PLS) and sparse PLS regressions in genomic selection in French dairy cattle

(2012) C. Colombani et al.   JOURNAL OF DAIRY SCIENCE

Sparse partial least squares regression for simultaneous dimension reduction and variable selection

(2010) Hyonho Chun et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY