Assessment of nonnegative matrix factorization algorithms for electroencephalography spectral analysis. [PDF]
Hu G +6 more
europepmc +1 more source
We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi +7 more
wiley +1 more source
Spatially Informed Nonnegative Matrix Trifactorization for Coclustering Mass Spectrometry Data. [PDF]
Sottosanti A +4 more
europepmc +1 more source
Nonlinear Model Order Reduction on Polynomial Manifolds for Computational Homogenisation Problems
ABSTRACT Model order reduction (MOR) techniques utilising nonlinear approximation spaces can search for solutions to computational homogenisation problems on low‐dimensional approximation spaces. In combination with hyperreduction techniques, this allows for computations on representative volume elements (RVEs) to be accelerated by multiple orders of ...
Erik Faust, Lisa Scheunemann
wiley +1 more source
Robust self supervised symmetric nonnegative matrix factorization to the graph clustering. [PDF]
Ru Y, Gruninger M, Dou Y.
europepmc +1 more source
On why cancer cells require a great amount of glucose
Abstract The traditional thinking has been that cancer cells require a great amount of glucose to support their rapid growth, but the reality may be different. We have previously demonstrated that all cancer cells in The Cancer Genome Atlas harbor persistent Fenton reactions in their cytosol, which generate OH− ${\text{OH}}^{-}$ and ultimately kill the
Xuechen Mu +6 more
wiley +1 more source
Nonnegative matrix factorization with Wasserstein metric-based regularization for enhanced text embedding. [PDF]
Li M, Wang X, Li C, Zeng A.
europepmc +1 more source
Incorporating Latent Variables Using Nonnegative Matrix Factorization Improves Risk Stratification in Brugada Syndrome. [PDF]
Tse G +13 more
europepmc +1 more source
Innovation Ecosystems in Catalonia: Exploring Location Patterns of High‐Tech Firms
ABSTRACT This paper analyses high‐tech firms' location determinants in Catalonia, Spain, using 2010–2019 firm data, and spatial models to assess spillover and industry‐specific factor effects. Results show that high‐tech firms, especially in services, are clustered in busy, wealthy cities with strong innovation hubs, while non‐high‐tech firms prefer ...
Keli Araujo‐Rocha +1 more
wiley +1 more source
Nonnegative matrix factorization for analyzing state dependent neuronal network dynamics in calcium recordings. [PDF]
Carbonero D +3 more
europepmc +1 more source

