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A chemometrician's guide to transfer learning

https://doi.org/10.1002/cem.3373
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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.1180070102openalex-snapshot
Identification of finite impulse response models with continuum regression
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.1291openalex-snapshot
Framework for explicit drift correction in multivariate calibration models
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.2818openalex-snapshot
Penalized eigendecompositions: motivations from domain adaptation for calibration transfer
inferredcites →https://doi.org/10.1002/cem.2877openalex-snapshot
Proximal methods for calibration transfer
inferredcites →https://doi.org/10.1002/cem.2900openalex-snapshot
Common and distinct components in data fusion
inferredcites →https://doi.org/10.1002/cem.3045openalex-snapshot
A review of orthogonal projections for calibration
inferredcites →https://doi.org/10.1002/cem.3080openalex-snapshot
Sample and feature augmentation strategies for calibration updating
inferredcites →https://doi.org/10.1002/cem.3204openalex-snapshot
Semi‐supervised covariate shift modelling of spectroscopic data
inferredcites →https://doi.org/10.1002/cem.3245openalex-snapshot
Model selection challenges with application to multivariate calibration updating methods
inferredcites →https://doi.org/10.1002/cem.3319openalex-snapshot
Graph‐based calibration transfer
inferredcites →https://doi.org/10.1002/cem.780openalex-snapshot
Pre‐whitening of data by covariance‐weighted pre‐processing
inferredcites →https://doi.org/10.1007/978-1-4757-3264-1openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/s10994-009-5152-4openalex-snapshot
A theory of learning from different domains
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)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/c2015-0-02458-3openalex-snapshot
Parameter Estimation and Inverse Problems
inferredcites →https://doi.org/10.1016/j.aca.2018.02.003openalex-snapshot
Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptation
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.2004.11.003openalex-snapshot
Selection and weighting of samples in multivariate regression model updating
inferredcites →https://doi.org/10.1016/j.chemolab.2012.02.002openalex-snapshot
Pretreatments by means of orthogonal projections
inferredcites →https://doi.org/10.1016/j.chemolab.2020.103986openalex-snapshot
Domain adaptive partial least squares regression
inferredcites →https://doi.org/10.1016/j.chemolab.2021.104283openalex-snapshot
Realizing transfer learning for updating deep learning models of spectral data to be used in new scenarios
inferredcites →https://doi.org/10.1016/j.infrared.2020.103547openalex-snapshot
Partial least square regression versus domain invariant partial least square regression with application to near-infrared spectroscopy of fresh fruit
inferredcites →https://doi.org/10.1016/j.knosys.2020.106447openalex-snapshot
Domain adaptation for regression under Beer–Lambert’s law
inferredcites →https://doi.org/10.1016/j.saa.2019.117460openalex-snapshot
Apparent penetration depth in attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy of Allium cepa L. epidermis and cuticle
inferredcites →https://doi.org/10.1016/j.talanta.2021.122461openalex-snapshot
A brief note on application of domain-invariant PLS for adapting near-infrared spectroscopy calibrations between different physical forms of samples
inferredcites →https://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
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/ac00110a009openalex-snapshot
Additive Background Correction in Multivariate Instrument Standardization
inferredcites →https://doi.org/10.1021/ac049953wopenalex-snapshot
Discordance between Net Analyte Signal Theory and Practical Multivariate Calibration
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/acs.analchem.8b00498openalex-snapshot
Domain-Invariant Partial-Least-Squares Regression
inferredcites →https://doi.org/10.1021/acs.analchem.8b05188openalex-snapshot
Joint and Unique Multiblock Analysis for Integration and Calibration Transfer of NIR Instruments
inferredcites →https://doi.org/10.1055/s-0043-122239openalex-snapshot
Quality Control of Valerianae Radix by Attenuated Total Reflection Fourier Transform Infrared (ATR-FTIR) Spectroscopy
inferredcites →https://doi.org/10.1073/pnas.0530258100openalex-snapshot
Generalized singular value decomposition for comparative analysis of genome-scale expression data sets of two different organisms
inferredcites →https://doi.org/10.1109/iccv.2013.100openalex-snapshot
Unsupervised Domain Adaptation by Domain Invariant Projection
inferredcites →https://doi.org/10.1109/icmla.2019.00108openalex-snapshot
Domain-Invariant Regression Under Beer-Lambert's Law
inferredcites →https://doi.org/10.1109/jproc.2020.3004555openalex-snapshot
A Comprehensive Survey on Transfer Learning
inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot
A Survey on Transfer Learning
inferredcites →https://doi.org/10.1109/tnn.2010.2091281openalex-snapshot
Domain Adaptation via Transfer Component Analysis
inferredcites →https://doi.org/10.1109/tpami.2016.2599532openalex-snapshot
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
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/10.1137/1.9780898719697openalex-snapshot
Rank-Deficient and Discrete Ill-Posed Problems
inferredcites →https://doi.org/10.1137/1.9781611971217openalex-snapshot
Solving Least Squares Problems
inferredcites →https://doi.org/10.1137/1.9781611971484openalex-snapshot
Numerical Methods for Least Squares Problems
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1177/0003702817736064openalex-snapshot
A Review of Calibration Transfer Practices and Instrument Differences in Spectroscopy
inferredcites →https://doi.org/10.1186/s40537-016-0043-6openalex-snapshot
A survey of transfer learning
inferredcites →https://doi.org/10.1214/12-ejs676openalex-snapshot
Structured penalties for functional linear models—partially empirical eigenvectors for 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/10.1366/0003702021955169openalex-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/10.1366/000370202760171554openalex-snapshot
New Hybrid Algorithm for Transferring Multivariate Quantitative Calibrations of Intra-Vendor Near-Infrared Spectrometers
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/10.1366/0003702924124808openalex-snapshot
Calibration Transfer and Measurement Stability of Near-Infrared Spectrometers
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/10.5555/2789272.2912101openalex-snapshot
On semi-supervised linear regression in covariate shift problems

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.3403openalex-snapshot
Dual‐constrained and primal‐constrained principal component analysis
inferred← citeshttps://doi.org/10.1002/cem.3477openalex-snapshot
Partial least squares regression with multiple domains
inferred← citeshttps://doi.org/10.1002/elsc.70044openalex-snapshot
A Novel Raman‐Chromatography Assembly for Automated Calibration and In‐Line Monitoring in Bioprocessing
inferred← citeshttps://doi.org/10.1007/s00449-026-03394-8openalex-snapshot
Limits and benefits of unsupervised transfer learning for Raman spectroscopy-based bioprocess monitoring
inferred← citeshttps://doi.org/10.1016/j.biosystemseng.2022.10.016openalex-snapshot
Deep adversarial domain adaptation for hyperspectral calibration model transfer among plant phenotyping systems
inferred← citeshttps://doi.org/10.1016/j.compchemeng.2025.109002openalex-snapshot
Ensemble transfer learning assisted soft sensor for distributed output inference in chemical processes
inferred← citeshttps://doi.org/10.1016/j.greeac.2024.100158openalex-snapshot
White analytical chemistry evaluation of medicines quality screening devices in low- and middle-income countries field settings
inferred← citeshttps://doi.org/10.1016/j.infrared.2023.104559openalex-snapshot
1D-inception-resnet for NIR quantitative analysis and its transferability between different spectrometers
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2025.01.021openalex-snapshot
Near-surface air temperature estimation for areas with sparse observations based on transfer learning
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.117906openalex-snapshot
Unsupervised optimization of spectral pre-processing selection to achieve transfer of Raman calibration models
inferred← citeshttps://doi.org/10.1016/j.optlastec.2026.114975openalex-snapshot
Universal calibration transfer method for Laser-Induced breakdown spectroscopy of mineral detection based on a lightweight deep learning model
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.vibspec.2023.103538openalex-snapshot
Calibration transfer for near-infrared (NIR) spectroscopy based on local preserving projection
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.analchem.3c04938openalex-snapshot
Maximizing Electrochemical Information: A Perspective on Background-Inclusive Fast Voltammetry
inferred← citeshttps://doi.org/10.1021/acs.iecr.2c02293openalex-snapshot
A Federated Classification Approach of Waste Lubricant Oils in Geographically Distributed Laboratories
inferred← citeshttps://doi.org/10.1021/acschemneuro.5c00543openalex-snapshot
Machine Learning for Neurotransmitter Monitoring by Fast Voltammetry: Current and Future Prospects
inferred← citeshttps://doi.org/10.1039/d6dd00044dopenalex-snapshot
Benchmarking deep learning models for Raman spectroscopy across open-source datasets
inferred← citeshttps://doi.org/10.1080/05704928.2023.2204946openalex-snapshot
Commentary on the review articles of spectroscopy technology combined with chemometrics in the last three years
inferred← citeshttps://doi.org/10.2139/ssrn.5027663openalex-snapshot
An Unsupervised Domain Adaptation Regression Method in Kernel Partial Least Squares Subspace Embedded with Joint Statistical and Manifold Alignment for Fourier-Transform Infrared Spectroscopy in Agri-Food Analysis
inferred← citeshttps://doi.org/10.3390/math10142538openalex-snapshot
Impact of Regressand Stratification in Dataset Shift Caused by Cross-Validation
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