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08/14/2023
A Time-aware tensor decomposition for tracking evolving patterns
Time-evolving data sets can often be arranged as a higher-order tensor w...
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10/24/2022
PARAFAC2-based Coupled Matrix and Tensor Factorizations
Coupled matrix and tensor factorizations (CMTF) have emerged as an effec...
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09/01/2022
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
Computational phenotyping allows for unsupervised discovery of subgroups...
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10/04/2021
An AO-ADMM approach to constraining PARAFAC2 on all modes
Analyzing multi-way measurements with variations across one mode of the ...
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02/03/2021
PARAFAC2 AO-ADMM: Constraints in all modes
The PARAFAC2 model provides a flexible alternative to the popular CANDEC...
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07/19/2020
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings
Coupled matrix and tensor factorizations (CMTF) are frequently used to j...
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10/23/2019
Tracing Network Evolution Using the PARAFAC2 Model
Characterizing time-evolving networks is a challenging task, but it is c...
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06/28/2019
Cross-product Penalized Component Analysis (XCAN)
Matrix factorization methods are extensively employed to understand comp...
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05/17/2011