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PARASIAS: A new method for analyzing higher-order tensors with shifting profiles

Analytica chimica acta, 2023-01, Vol.1238, p.339848-339848, Article 339848

2023

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A comparison of a common approach to partial least squares-discriminant analysis and classical least squares in hyperspectral imaging

International journal of pharmaceutics, 2009-05, Vol.373 (1), p.179-182

2009

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Shift‐invariant tri‐linearity—A new model for resolving untargeted gas chromatography coupled mass spectrometry data

Journal of chemometrics, 2023-08, Vol.37 (8), p.n/a

2023

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PFAS remediation: Evaluating the infrared spectra of complex gaseous mixtures to determine the efficacy of thermal decomposition of PFAS

Chemosphere (Oxford), 2024-08, Vol.362 (C), p.142631, Article 142631

2024

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Multivariate Machine Learning Models of Nanoscale Porosity from Ultrafast NMR Relaxometry

Angewandte Chemie International Edition, 2024-03, Vol.63 (13), p.e202316664-n/a

International ed. in English, 2024

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An Interactive Spectral Analysis Tool for Chemical Identification and Quantification of Gas-Phase Species in Complex Spectra

Applied spectroscopy, 2023-06, Vol.77 (6), p.557-568

2023

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A perspective on two chemometrics tools: PCA and MCR, and introduction of a new one: Pattern recognition entropy (PRE), as applied to XPS and ToF-SIMS depth profiles of organic and inorganic materials

Applied surface science, 2018-03, Vol.433 (C), p.994-1017

2018

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Identification of Uranium Minerals in Natural U-Bearing Rocks Using Infrared Reflectance Spectroscopy

Applied spectroscopy, 2018-02, Vol.72 (2), p.209-224

2018

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Multivariate Machine Learning Models of Nanoscale Porosity from Ultrafast NMR Relaxometry

Angewandte Chemie, 2024-03, Vol.136 (13), p.n/a

2024

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Hyperspectral imaging of minerals in the longwave infrared: the use of laboratory directional-hemispherical reference measurements for field exploration data

Journal of applied remote sensing, 2019-09, Vol.13 (3), p.1

2019

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Estimation of trace vapor concentration-pathlength in plumes for remote sensing applications from hyperspectral images

Analytica chimica acta, 2003-08, Vol.490 (1), p.139-152

2003

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Inverse Least-Squares Modeling of Vapor Descriptors Using Polymer-Coated Surface Acoustic Wave Sensor Array Responses

Analytical chemistry (Washington), 2001-11, Vol.73 (21), p.5247-5259

2001

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The process chemometrics approach to process monitoring and fault detection

Journal of process control, 1996-12, Vol.6 (6), p.329-348

1996

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Passive standoff detection of RDX residues on metal surfaces via infrared hyperspectral imaging

Analytical and bioanalytical chemistry, 2009-09, Vol.395 (2), p.337-348

2009

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Decompositions using maximum signal factors

Journal of chemometrics, 2014-08, Vol.28 (8), p.663-671

2014

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Shift invariant soft trilinearity: Modelling shifts and shape changes in gas-chromatography coupled mass spectrometry

Chemometrics and intelligent laboratory systems, 2024-08, Vol.251, p.105155, Article 105155

2024

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A comparison of common factor-based methods for hyperspectral image exploration: principal components analysis, maximum autocorrelation factors (MAF), minimum noise factors (MNF) and maximum difference factors

Journal of spectral imaging, 2022-08, Vol.11, p.a6

Gallagher, Neal

2022

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Target detection of melamine in wheat gluten in a NIR infrared hyperspectral image

NIR news, 2022-05, Vol.33 (3-4), p.11-13

Gallagher, Neal B

2022

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A comparison of principal component analysis, multiway principal component analysis, trilinear decomposition and parallel factor analysis for fault detection in a semiconductor etch process

Journal of chemometrics, 1999-05, Vol.13 (3-4), p.379-396

1999

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A new approach for interactive self-modeling mixture analysis

Chemometrics and intelligent laboratory systems, 2005-05, Vol.77 (1), p.85-96

2005

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Strategies for Detecting Organic Liquids on Soils Using Mid-Infrared Reflection Spectroscopy

Environmental science & technology, 2008-08, Vol.42 (15), p.5700-5705

2008

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Extended least squares (ELS) and generalized least squares (GLS) for clutter suppression in hyperspectral images: A theoretical description

Chemometrics and intelligent laboratory systems, 2024-01, Vol.244, p.105032, Article 105032

2024

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Application of extended inverse scatter correction to mid-infrared reflectance spectra of soil

Journal of chemometrics, 2005-05, Vol.19 (5-7), p.271-281

2005

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PFAS remediation: Evaluating the infrared spectra of complex gaseous mixtures to determine the efficacy of thermal decomposition of PFAS

Chemosphere (Oxford), 2024-06, Vol.362 (_)

2024

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Meeting report: ICRM-2014 international chemometrics research meeting

Chemometrics and intelligent laboratory systems, 2015-08, Vol.146, p.147-148

2015

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PARASIAS: A new method for analyzing higher-order tensors with shifting profiles

A comparison of a common approach to partial least squares-discriminant analysis and classical least squares in hyperspectral imaging

Shift‐invariant tri‐linearity—A new model for resolving untargeted gas chromatography coupled mass spectrometry data

PFAS remediation: Evaluating the infrared spectra of complex gaseous mixtures to determine the efficacy of thermal decomposition of PFAS

Multivariate Machine Learning Models of Nanoscale Porosity from Ultrafast NMR Relaxometry

An Interactive Spectral Analysis Tool for Chemical Identification and Quantification of Gas-Phase Species in Complex Spectra

A perspective on two chemometrics tools: PCA and MCR, and introduction of a new one: Pattern recognition entropy (PRE), as applied to XPS and ToF-SIMS depth profiles of organic and inorganic materials

Identification of Uranium Minerals in Natural U-Bearing Rocks Using Infrared Reflectance Spectroscopy

Multivariate Machine Learning Models of Nanoscale Porosity from Ultrafast NMR Relaxometry

Hyperspectral imaging of minerals in the longwave infrared: the use of laboratory directional-hemispherical reference measurements for field exploration data

Estimation of trace vapor concentration-pathlength in plumes for remote sensing applications from hyperspectral images

Inverse Least-Squares Modeling of Vapor Descriptors Using Polymer-Coated Surface Acoustic Wave Sensor Array Responses

The process chemometrics approach to process monitoring and fault detection

Passive standoff detection of RDX residues on metal surfaces via infrared hyperspectral imaging

Decompositions using maximum signal factors

Shift invariant soft trilinearity: Modelling shifts and shape changes in gas-chromatography coupled mass spectrometry

A comparison of common factor-based methods for hyperspectral image exploration: principal components analysis, maximum autocorrelation factors (MAF), minimum noise factors (MNF) and maximum difference factors

Target detection of melamine in wheat gluten in a NIR infrared hyperspectral image

A comparison of principal component analysis, multiway principal component analysis, trilinear decomposition and parallel factor analysis for fault detection in a semiconductor etch process

A new approach for interactive self-modeling mixture analysis

Strategies for Detecting Organic Liquids on Soils Using Mid-Infrared Reflection Spectroscopy

Extended least squares (ELS) and generalized least squares (GLS) for clutter suppression in hyperspectral images: A theoretical description

Application of extended inverse scatter correction to mid-infrared reflectance spectra of soil

PFAS remediation: Evaluating the infrared spectra of complex gaseous mixtures to determine the efficacy of thermal decomposition of PFAS

Meeting report: ICRM-2014 international chemometrics research meeting

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