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Sample and feature augmentation strategies for calibration updating

https://doi.org/10.1002/cem.3080
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cem.1110openalex-snapshot
Learning from Procrustes analysis to improve multivariate calibration
inferredcites →https://doi.org/10.1002/cem.1180090605openalex-snapshot
Incorporating auxiliary predictor variation in principal component regression models
inferredcites →https://doi.org/10.1002/cem.1377openalex-snapshot
Determination of rank by augmentation (DRAUG)
inferredcites →https://doi.org/10.1002/cem.2501openalex-snapshot
Interrelationships between generalized Tikhonov regularization, generalized net analyte signal, and generalized least squares for desensitizing a multivariate calibration to interferences
inferredcites →https://doi.org/10.1002/cem.2784openalex-snapshot
Penalty processes for combining roughness and smoothness in spectral multivariate calibration
inferredcites →https://doi.org/10.1002/cem.2818openalex-snapshot
Penalized eigendecompositions: motivations from domain adaptation for calibration transfer
inferredcites →https://doi.org/10.1002/cem.2873openalex-snapshot
Sample‐wise spectral multivariate calibration desensitized to new artifacts relative to the calibration data using a residual penalty
inferredcites →https://doi.org/10.1002/cem.2937openalex-snapshot
Selecting the number of factors in principal component analysis by permutation testing—Numerical and practical aspects
inferredcites →https://doi.org/10.1002/cem.717openalex-snapshot
Wavelet analysis applied to removing non‐constant, varying spectroscopic background in multivariate calibration
inferredcites →https://doi.org/10.1002/jsfa.2740340919openalex-snapshot
Collaborative evaluation of near infrared reflectance analysis for the determination of protein, moisture and hardness in wheat
inferredcites →https://doi.org/10.1016/0024-3795(80)90166-4openalex-snapshot
Simultaneous rayleigh-quotient minimization methods for Ax=λBx
inferredcites →https://doi.org/10.1016/0169-7439(92)80098-oopenalex-snapshot
Recursive algorithm for partial least squares regression
inferredcites →https://doi.org/10.1016/0169-7439(93)e0065-copenalex-snapshot
The influence of data preprocessing on the robustness and parsimony of multivariate calibration models
inferredcites →https://doi.org/10.1016/0169-7439(94)00028-hopenalex-snapshot
Transfer of calibration function in near-infrared spectroscopy
inferredcites →https://doi.org/10.1016/0169-7439(94)85037-2openalex-snapshot
Multivariate calibration standardization
inferredcites →https://doi.org/10.1016/0169-7439(95)00074-7openalex-snapshot
Improvement of the piecewise direct standardisation procedure for the transfer of NIR spectra for multivariate calibration
inferredcites →https://doi.org/10.1016/j.aca.2016.03.046openalex-snapshot
Fusion strategies for selecting multiple tuning parameters for multivariate calibration and other penalty based processes: A model updating application for pharmaceutical analysis
inferredcites →https://doi.org/10.1016/j.chemolab.2004.02.004openalex-snapshot
Transfer by orthogonal projection: making near-infrared calibrations robust to between-instrument variation
inferredcites →https://doi.org/10.1016/j.chemolab.2009.07.007openalex-snapshot
Improving the transfer of near infrared prediction models by orthogonal methods
inferredcites →https://doi.org/10.1016/s0169-7439(02)00085-0openalex-snapshot
Transfer of multivariate calibration models: a review
inferredcites →https://doi.org/10.1016/s0169-7439(96)00075-5openalex-snapshot
Standardization of near-infrared spectra in the wavelet domain
inferredcites →https://doi.org/10.1016/s0169-7439(97)00051-8openalex-snapshot
Multivariate standardization techniques using UV-Vis data
inferredcites →https://doi.org/10.1016/s0169-7439(98)00109-9openalex-snapshot
Orthogonal signal correction of near-infrared spectra
inferredcites →https://doi.org/10.1016/s0169-7439(98)00112-9openalex-snapshot
An evaluation of orthogonal signal correction applied to calibration transfer of near infrared spectra
inferredcites →https://doi.org/10.1016/s0169-7439(99)00016-7openalex-snapshot
Weighting schemes for updating regression models—a theoretical approach
inferredcites →https://doi.org/10.1016/s0924-2031(01)00199-0openalex-snapshot
New augmented classical least squares methods for improved quantitative spectral analyses
inferredcites →https://doi.org/10.1021/ac00023a016openalex-snapshot
Multivariate instrument standardization
inferredcites →https://doi.org/10.1021/ac00057a031openalex-snapshot
Temperature-compensating calibration transfer for near-infrared filter instruments
inferredcites →https://doi.org/10.1021/ac049953wopenalex-snapshot
Discordance between Net Analyte Signal Theory and Practical Multivariate Calibration
inferredcites →https://doi.org/10.1021/ac302705mopenalex-snapshot
Spectral Multivariate Calibration without Laboratory Prepared or Determined Reference Analyte Values
inferredcites →https://doi.org/10.1021/ac902881mopenalex-snapshot
Model Updating for Spectral Calibration Maintenance and Transfer Using 1-Norm Variants of Tikhonov Regularization
inferredcites →https://doi.org/10.1021/ac9510595openalex-snapshot
Standardization of Near-Infrared Spectrometric Instruments
inferredcites →https://doi.org/10.1109/tnn.2008.2002078openalex-snapshot
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
inferredcites →https://doi.org/10.1109/tvcg.2004.17openalex-snapshot
Robust linear dimensionality reduction
inferredcites →https://doi.org/10.1111/j.1365-2621.1983.tb00287.xopenalex-snapshot
Collaborative evaluation of universal calibrations for the measurement of protein and moisture in flour by near infrared reflectance
inferredcites →https://doi.org/10.1137/0719089openalex-snapshot
A Trace Minimization Algorithm for the Generalized Eigenvalue Problem
inferredcites →https://doi.org/10.1137/1.9780898719697openalex-snapshot
Rank-Deficient and Discrete Ill-Posed Problems
inferredcites →https://doi.org/10.1214/15-ejs1027openalex-snapshot
Data enriched linear regression
inferredcites →https://doi.org/10.1255/jnirs.309openalex-snapshot
Standardisation and Calibration Transfer for near Infrared Instruments: A Review
inferredcites →https://doi.org/10.1255/jnirs.819openalex-snapshot
Standardisation of near Infrared Spectrometers: Evaluation of Some Common Techniques for Intra- and Inter-Brand Calibration Transfer
inferredcites →https://doi.org/10.1366/0003702001951228openalex-snapshot
New Prediction-Augmented Classical Least-Squares (PACLS) Methods: Application to Unmodeled Interferents
inferredcites →https://doi.org/10.1366/0003702011951353openalex-snapshot
New Classical Least-Squares/Partial Least-Squares Hybrid Algorithm for Spectral Analyses
inferredcites →https://doi.org/10.1366/0003702021955169openalex-snapshot
New Hybrid Algorithm for Maintaining Multivariate Quantitative Calibrations of a Near-Infrared Spectrometer
inferredcites →https://doi.org/10.1366/0003702021955178openalex-snapshot
Concentration Residual Augmented Classical Least Squares (CRACLS): A Multivariate Calibration Method with Advantages over Partial Least Squares
inferredcites →https://doi.org/10.1366/000370207780466280openalex-snapshot
Spectral Simulation Methodology for Calibration Transfer of Near-Infrared Spectra
inferredcites →https://doi.org/10.1366/000370209788701206openalex-snapshot
Calibration Maintenance and Transfer Using Tikhonov Regularization Approaches
inferredcites →https://doi.org/10.1366/0003702981942528openalex-snapshot
Comparison of Two Different Approaches toward Model Transferability in NIR Spectroscopy
inferredcites →https://doi.org/10.1366/0003702991945515openalex-snapshot
Fundamentals of Calibration Transfer through Procrustes Analysis
inferredcites →https://doi.org/10.2135/cropsci1985.0011183x002500010038xopenalex-snapshot
Calibration Transfer Between near Infrared Reflectance Spectrophotometers1
inferredcites →https://doi.org/10.2307/2005340openalex-snapshot
Solving Least Squares Problems
inferredcites →https://doi.org/10.2527/jas.2006-202openalex-snapshot
Effects of breed, sex, and age on the variation and ability of fecal near-infrared reflectance spectra to predict the composition of goat diets1,2
inferredcites →https://doi.org/10.7551/mitpress/9780262033589.001.0001openalex-snapshot
Semi-Supervised Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4770141openalex-extracted
Selection of Samples for Spectral Model Updating Based on Kernel Coefficients
inferred← citeshttps://doi.org/10.1002/cem.3204openalex-snapshot
Semi‐supervised covariate shift modelling of spectroscopic data
inferred← citeshttps://doi.org/10.1002/cem.3245openalex-snapshot
Model selection challenges with application to multivariate calibration updating methods
inferred← citeshttps://doi.org/10.1002/cem.3373openalex-snapshot
A chemometrician's guide to transfer learning
inferred← citeshttps://doi.org/10.1002/cem.3477openalex-snapshot
Partial least squares regression with multiple domains
inferred← citeshttps://doi.org/10.1007/978-3-031-31505-3_7openalex-snapshot
Control Strategies of Solid Dosage Forms by PAT Tools
inferred← citeshttps://doi.org/10.1007/978-981-19-1625-0_17openalex-snapshot
Calibration Transfer Methods
inferred← citeshttps://doi.org/10.1016/j.aca.2025.344838openalex-snapshot
The importance of choosing a proper validation strategy in predictive models. Part 2: Recipes for (avoiding) overfitting-A tutorial
inferred← citeshttps://doi.org/10.1016/j.chemolab.2025.105472openalex-snapshot
Selection of important samples for calibration model updating based on kernel coefficients
inferred← citeshttps://doi.org/10.1016/j.chemolab.2026.105901openalex-snapshot
Instrument-shift-informed source-domain augmentation for calibration transfer in near-infrared spectroscopy
inferred← citeshttps://doi.org/10.1016/j.chemolab.2026.105918openalex-snapshot
A preprocessing framework for calibration transfer of near-infrared spectroscopic data
inferred← citeshttps://doi.org/10.1016/j.eja.2025.127702openalex-snapshot
Multi-variety monitoring of potato late blight severity using UAV data with improved SMOTE-CS for small sample modeling and deep feature learning
inferred← citeshttps://doi.org/10.1016/j.microc.2026.119685openalex-snapshot
Rapid quantitative analysis of herbal extraction process using near-infrared spectroscopy: An integrated modeling framework
inferred← citeshttps://doi.org/10.1016/j.saa.2023.122418openalex-snapshot
Unsupervised model adaptation for multivariate calibration by domain adaptation-regularization based kernel partial least square
inferred← citeshttps://doi.org/10.1016/j.trac.2021.116331openalex-snapshot
Are standard sample measurements still needed to transfer multivariate calibration models between near-infrared spectrometers? The answer is not always
inferred← citeshttps://doi.org/10.1016/j.vibspec.2024.103667openalex-snapshot
Calibration transfer between different spectrometers by wavelength correspondence
inferred← citeshttps://doi.org/10.1021/acs.analchem.1c00578openalex-snapshot
Calibration Model Updating to Novel Sample and Measurement Conditions without Reference Values
inferred← citeshttps://doi.org/10.1021/acs.analchem.3c01616openalex-snapshot
Physicochemical Responsive Integrated Similarity Measure (PRISM) for a Comprehensive Quantitative Perspective of Sample Similarity Dynamically Assessed with NIR Spectra
inferred← citeshttps://doi.org/10.1021/acs.jcim.0c01493openalex-snapshot
Reliable Model Selection without Reference Values by Utilizing Model Diversity with Prediction Similarity
inferred← citeshttps://doi.org/10.1177/00037028241241557openalex-snapshot
Local Modeling by Adapting Source Calibration Models to Analyte Shifted Target Domain Samples Without Reference Values
inferred← citeshttps://doi.org/10.1177/00037028241280669openalex-snapshot
Redefining Spectral Data Analysis with Immersive Analytics: Exploring Domain-Shifted Model Spaces for Optimal Model Selection
inferred← citeshttps://doi.org/10.3390/math10163001openalex-snapshot
A Generalized Linear Joint Trained Framework for Semi-Supervised Learning of Sparse Features
inferred← citeshttps://doi.org/10.3390/s22197239openalex-snapshot
Domain Adaptation for In-Line Allergen Classification of Agri-Food Powders Using Near-Infrared Spectroscopy
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