Results 71 to 80 of about 7,782 (177)
Graph Neural Network‐Based Online Collaborative Filtering Using Transductive Node Embeddings
Computational Intelligence, Volume 41, Issue 5, October 2025.ABSTRACT The field of recommendation systems is a hot topic thanks to the increasing number of available digital products and services. In connection with this topic, the research of Graph Neural Network solutions has played a significant role in recent years.
Gábor Szűcs, Richárd Kiss
wiley +1 more source
Advanced Science, Volume 12, Issue 33, September 4, 2025.Lyophilization is a key process used in the production of biotherapeutic products. This article reviews and discusses the application of HSI on lyophilization, and the strategies that use the resulting data to build models. It is intended to provide guidance and insights for non‐specialist researchers and engineers into leveraging HSI and the data ...
Huiwen Yu +5 more
wiley +1 more source
Cancer Reports, Volume 8, Issue 9, September 2025.ABSTRACT Background Immunotherapies including immune checkpoint inhibitors and tumor antigen based vaccines have revolutionized cancer treatment. However, immune signatures of hepatocellular carcinoma (HCC) have not been thoroughly studied from a multiomics perspective.
Chunming Wang +14 more
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Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting
, 2017 In this work, we introduce a highly efficient algorithm to address the nonnegative matrix underapproximation (NMU) problem, i.e., nonnegative matrix factorization (NMF) with an additional underapproximation constraint.
Sapiro, Guillermo, Tepper, Mariano
core +1 more source
From RCD pathways to precision oncology: A spatially‐aware approach in HCC
Malignancy Spectrum, Volume 2, Issue 4, Page 214-215, December 2025.
Haider Imran +3 more
wiley +1 more source
Journal of Foot and Ankle Research, Volume 18, Issue 3, September 2025.ABSTRACT Background Chronic ankle instability (CAI) disrupts postural stability after ankle sprains and inadequate treatment. Gait initiation (GI), governed by central nervous system (CNS) patterns, is used to evaluate stability. Muscle synergy, which reflects coordinated activations, reveals neuromuscular control.
Shaghayegh Zivari +3 more
wiley +1 more source
A multilevel approach for nonnegative matrix factorization [PDF]
Nonnegative Matrix Factorization (NMF) is the problem of approximating a nonnegative matrix with the product of two low-rank nonnegative matrices and has been shown to be particularly useful in many applications, e.g., in text mining, image processing ...
GILLIS, Nicolas, GLINEUR, François
core
Adaptive Graph via Multiple Kernel Learning for Nonnegative Matrix Factorization [PDF]
, 2013 Nonnegative Matrix Factorization (NMF) has been continuously evolving in several areas like pattern recognition and information retrieval methods. It factorizes a matrix into a product of 2 low-rank non-negative matrices that will define parts-based, and
AbdulJabbar, Mustafa, Wang, Jing-Yan
core
International Journal of Applied Mathematics and Computer Science, 2014 Nonnegative Matrix Factorization (NMF) is an important tool in data spectral analysis. However, when a mixing matrix or sources are not sufficiently sparse, NMF of an observation matrix is not unique.
Zdunek Rafał
doaj +1 more source
WIREs Computational Statistics, Volume 17, Issue 3, September 2025.Overview of linear dimensionality reduction for two‐way structured data: Downstream analyses include clustering and regression analysis. ABSTRACT High‐dimensional biomedical data often exhibit complex structural features that challenge traditional analytical methods.
Yue Wang
wiley +1 more source