Abstract
Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureCe Zhu, Zhen Long, Yipeng Liu
Abstract
Authors
Institutions
No ROR-resolved institution is linked to this work yet.
Provenance
crossref
Confidence 100%
unpaywall
Confidence 95%
datacite
Confidence 0%
No local citing links have been materialized yet.
Unresolved referenced work
2007
10.1109/iscas.2017.8050303
10.1109/iscas.2017.8050303 · 2017
Unresolved referenced work
2019
Three-way partial least-squares regression for the simultaneous kinetic-enzymatic determination of xanthine and hypoxanthine in human urine
10.1007/s00216-005-3275-4 · 2005
Workplace Safety Risk Assessment Model Based on Fuzzy Regression
10.1166/asl.2018.11131 · 2018
Convex multi-task feature learning
10.1007/s10994-007-5040-8 · 2008
Unresolved referenced work
2013
Evaluation of multiple cues head pose tracking algorithm in indoor environments
2005
Fast multivariate spatio-temporal analysis via low rank tensor learning
2014
Unresolved referenced work
2012
10.1002/9780470316757
10.1002/9780470316757 · 1988
Improving quantitative studies of international conflict: A conjecture
2000
Unresolved referenced work
2015
N-PLS regression as empirical downscaling tool in climate change studies
10.1007/s00704-004-0083-2 · 2005
Unresolved referenced work
2014
Bayesian Dynamic Tensor Regression
10.2139/ssrn.3192340 · 2018
Unresolved referenced work
2020
Bilinear and trilinear algorithms utilizing full and selected variables for resolution and quantitation of four components with overlapped spectral signals in bulk and syrup dosage form
10.1016/j.saa.2019.117219 · 2019
Monitoring and diagnosing batch processes with multiway covariates regression models
10.1002/aic.690450713 · 1999
Random forests
10.1023/a:1010933404324 · 2001
Multiway calibration. multilinear pls
10.1002/(sici)1099-128x(199601)10:1<47::aid-cem400>3.0.co;2-c · 1996
PARAFAC. Tutorial and applications
10.1016/s0169-7439(97)00032-4 · 1997
Exploratory study of sugar production using fluorescence spectroscopy and multi-way analysis
10.1016/s0169-7439(98)00181-6 · 1999
Review on multiway analysis in chemistry—2000-2005
10.1080/10408340600969965 · 2006
Standard error of prediction for multilinear PLS: 2. Practical implementation in fluorescence spectroscopy
2005
On the difference between low-rank and subspace approximation: improved model for multilinear PLS regression
10.1016/s0169-7439(01)00134-4 · 2001
Support tensor machines for text categorization
2006
Unresolved referenced work
2016
Fast multiway partial least squares regression
10.1109/tbme.2018.2847404 · 2018
Unresolved referenced work
2017
Analysis of individual differences in multidimensional scaling via an N-way generalization of “Eckart-Young” decomposition
10.1007/bf02310791 · 1970
Unresolved referenced work
2020
Non-convex projected gradient descent for generalized low-rank tensor regression
2019
Three-way data analysis with time lagged window for on-line batch process monitoring
10.1007/bf02706928 · 2003
Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks
2018
Partial least squares regression (PLSR) applied to NIR and HSI spectral data modeling to predict chemical properties of fish muscle
10.1007/s12393-016-9147-1 · 2017
Tensor-factorized neural networks
10.1109/tnnls.2017.2690379 · 2017
Application of N-PLS calibration to the simultaneous determination of Cu 2+, Cd 2+ and Pb 2+ using peptide modified electrochemical sensors
10.1039/b604690h · 2006
Tensor decompositions for signal processing applications: From two-way to multiway component analysis
10.1109/msp.2013.2297439 · 2015
Tensor networks for dimensionality reduction and large-scale optimization: Part 1 low-rank tensor decompositions
10.1561/2200000059 · 2016
Canonical feature selection for joint regression and multi-class identification in Alzheimer’s disease diagnosis
10.1007/s11682-015-9430-4 · doi-reference
Tensor regression with applications in neuroimaging data analysis
10.1080/01621459.2013.776499 · doi-reference
Higher order partial least squares for object tracking: A 4D-tracking method
10.1016/j.neucom.2015.09.138 · doi-reference
Kernelization of tensor-based models for multiway data analysis: Processing of multidimensional structured data
10.1109/msp.2013.2255334 · doi-reference
Bayesian CP factorization of incomplete tensors with automatic rank determination
10.1109/tpami.2015.2392756 · doi-reference
Higher order partial least squares (HOPLS): a generalized multilinear regression method
10.1109/tpami.2012.254 · doi-reference
ISLET: Fast and optimal low-rank tensor regression via importance sketching
10.1137/19m126476x · doi-reference
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization
10.1109/tip.2020.2972109 · doi-reference
Block-term tensor neural networks
10.1016/j.neunet.2020.05.034 · doi-reference
Sparse regularized low-rank tensor regression with applications in genomic data analysis
10.1016/j.patcog.2020.107516 · doi-reference
Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization
10.1080/00401706.2018.1529628 · doi-reference
10.24963/ijcai.2020/136
10.24963/ijcai.2020/136 · doi-reference
Modeling crash spatial heterogeneity: Random parameter versus geographically weighting
10.1016/j.aap.2014.10.020 · doi-reference
Kronecker-basis-representation based tensor sparsity and its applications to tensor recovery
10.1109/tpami.2017.2734888 · doi-reference
Sketching as a tool for numerical linear algebra
10.1561/0400000060 · doi-reference
Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models
10.1111/j.1467-9868.2010.00749.x · doi-reference
Theoretical and experimental analyses of tensor-based regression and classification
10.1162/neco_a_00815 · doi-reference
A distributed tensor-train decomposition method for cyber-physical-social services
10.1145/3323926 · doi-reference
Bayesian graphical lasso models and efficient posterior computation
10.1214/12-ba729 · doi-reference
How to detect the Granger-causal flow direction in the presence of additive noise?
10.1016/j.neuroimage.2014.12.017 · doi-reference
Effective connectivity: influence, causality and biophysical modeling
10.1016/j.neuroimage.2011.03.058 · doi-reference
Determination of doxorubicin in human plasma by excitation-emission matrix fluorescence and multi-way analysis
10.1016/s0003-2670(03)00864-x · doi-reference
Regression shrinkage and selection via the lasso
10.1111/j.2517-6161.1996.tb02080.x · doi-reference
Individualized multilayer tensor learning with an application in imaging analysis
10.1080/01621459.2019.1585254 · doi-reference
10.1002/9781118445112.stat08319
10.1002/9781118445112.stat08319 · doi-reference
UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age
10.1371/journal.pmed.1001779 · doi-reference
Continuum regression: cross-validated sequentially constructed prediction embracing ordinary least squares, partial least squares and principal components regression
10.1111/j.2517-6161.1990.tb01786.x · doi-reference
A general regression neural network
10.1109/72.97934 · doi-reference
10.1609/aaai.v31i1.10871
10.1609/aaai.v31i1.10871 · doi-reference
Tensor completion algorithms in big data analytics
10.1145/3278607 · doi-reference
A tutorial on support vector regression
10.1023/b:stco.0000035301.49549.88 · doi-reference
Multicomponent determination of chlorinated hydrocarbons using a reaction-based chemical sensor. 3. Medium-rank second-order calibration with restricted Tucker models
10.1021/ac00092a010 · doi-reference
Multiway multiblock component and covariates regression models
10.1002/1099-128x(200005/06)14:3<301::aid-cem594>3.0.co;2-h · doi-reference
Multiway covariates regression models
10.1002/(sici)1099-128x(199901/02)13:1<31::aid-cem528>3.0.co;2-p · doi-reference
Comments on multilinear PLS
10.1002/(sici)1099-128x(199709/10)11:5<367::aid-cem481>3.0.co;2-i · doi-reference
Multiscale Adaptive Marginal Analysis of Longitudinal Neuroimaging Data with Time-Varying Covariates
10.1111/j.1541-0420.2012.01767.x · doi-reference
Simultaneous analysis of riboflavin and aromatic amino acids in beer using fluorescence and multivariate calibration methods
10.1016/j.aca.2008.02.063 · doi-reference
Learning with tensors: a framework based on convex optimization and spectral regularization
10.1007/s10994-013-5366-3 · doi-reference
A kernelbased framework to tensorial data analysis
10.1016/j.neunet.2011.05.011 · doi-reference
Humaneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion
10.1007/s11263-009-0273-6 · doi-reference