Approximate tensor decompositions
, 2020 The field of tensor decompositions and matrix factorizations has become very popular in recent years since it has a wide range of applications in the description of complex systems. Although natural matrix factorizations are quite well understood, there are a lot of open questions in the field of matrix decompositions with additional restrictions.
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Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction. [PDF]
Front Artif Intell, 2023 Taguchi YH, Turki T.
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NTD-DR: Nonnegative tensor decomposition for drug repositioning. [PDF]
PLoS One, 2022 Jamali AA, Tan Y, Kusalik A, Wu FX.
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Estimation of Metabolic Effects upon Cadmium Exposure during Pregnancy Using Tensor Decomposition. [PDF]
Genes (Basel), 2022 Amakura Y, Taguchi YH.
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ATD: Augmenting CP Tensor Decomposition by Self Supervision. [PDF]
Adv Neural Inf Process Syst, 2022 Yang C +6 more
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Untamed: Unconstrained Tensor Decomposition and Graph Node Embedding for Cortical Parcellation. [PDF]
Hum Brain MappLiu Y, Li J, Wisnowski JL, Leahy RM.
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Features extracted using tensor decomposition reflect the biological features of the temporal patterns of human blood multimodal metabolome. [PDF]
PLoS One, 2023 Fujita S +4 more
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Bayesian Tensor Decomposition for Clustering Latent Symptom Profiles for Verbal Autopsy Data. [PDF]
Stat MedZhu Y, Li ZR.
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A tensor decomposition-based integrated analysis applicable to multiple gene expression profiles without sample matching. [PDF]
Sci Rep, 2022 Taguchi YH, Turki T.
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