Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization. [PDF]
Int J Data Sci Anal, 2023 Balasubramaniam T +3 more
europepmc +1 more source
International Journal for Numerical Methods in Engineering, Volume 127, Issue 20, 30 October 2026.ABSTRACT This study enhances a framework of surrogate computational homogenization (SCH) using decision tree‐based partition‐of‐unity radial basis function (PU‐RBF) interpolation for three‐dimensional finite‐deformation two‐scale analysis. The method addresses the scalability limitation of global RBF interpolation for large numerical material test (NMT)
Yosuke Yamanaka +2 more
wiley +1 more source
Nesterov-based parallel algorithm for large-scale nonnegative tensor factorization
, 2017 Summarization: We consider the problem of nonnegative tensor factorization. Our aim is to derive an efficient algorithm that is also suitable for parallel implementation.
Kostoulas Georgios(http://users.isc.tuc.gr/~gkostoulas) +7 more
core +1 more source
Parameter selection for nonnegative l1 matrix/tensor sparse decomposition
, 2015 For the nonnegative l1 matrix/tensor sparse decomposition problem, we derive a threshold bound for the parameters beyond which all the decomposition factors are zero. The obtained result provides a guideline on selection for l1 regularization parameters
Wan-Quan Liu (776559) +3 more
core +2 more sources
Application of Non-Negative Tensor Factorization for Airport Flight Delay Pattern Recognition
IEEE Access, 2019 With the rapid development of civil aviation transportation in China, huge demand growth has broken the balance between supply and demand, resulting in airspace congestion and increasing flight delays.
Han Zhong +3 more
doaj +1 more source
Non-Negative Tensor Factorization for Human Behavioral Pattern Mining in Online Games
Information, 2018 Multiplayer online battle arena is a genre of online games that has become extremely popular. Due to their success, these games also drew the attention of our research community, because they provide a wealth of information about human online ...
Anna Sapienza +2 more
doaj +1 more source
NONNEGATIVE TENSOR FACTORIZATION FOR SOURCE SEPARATION OF LOOPS IN AUDIO
, 2018 The prevalence of exact repetition in loop-based music makes it an opportune target for source separation. Nonnegative factorization approaches have been used to model the repetition of looped content, and kernel additive modeling has leveraged ...
Smith, JBL, Goto, M, IEEE
core +1 more source
Discriminative and Distinct Phenotyping by Constrained Tensor Factorization
Scientific Reports, 2017 Adoption of Electronic Health Record (EHR) systems has led to collection of massive healthcare data, which creates oppor- tunities and challenges to study them.
Yejin Kim +4 more
doaj +1 more source
Classification of Copper Minerals by Handheld Laser-Induced Breakdown Spectroscopy and Nonnegative Tensor Factorisation. [PDF]
Sensors (Basel), 2020 Wójcik M +8 more
europepmc +1 more source
An all-at-once approach to nonnegative tensor factorizations
, 2008 Tensors can be viewed as multilinear arrays or generalizations of the notion of matrices. Tensor decompositions have applications in various fields such as psychometrics, signal processing, numerical linear algebra and data mining.
Flores Garrido, Marisol
core +1 more source