Results 71 to 80 of about 55,457 (295)
Using NMF for Analyzing War Logs [PDF]
, 2012 We investigate a semi-automated identification of technical problems occurred by armed forces weapon systems during mission of war. The proposed methodology is based on a semantic analysis of textual information in reports from soldiers (war logs).
Thorleuchter, Dirk, Van den Poel, Dirk
openaire +1 more source
Remote Sensing, 2019 High-spectral-resolution hyperspectral data are acquired by sensors that gather images from hundreds of narrow and contiguous bands of the electromagnetic spectrum.
M. S. Karoui +7 more
semanticscholar +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
eLife, 2022 Sequencing of cell-free DNA (cfDNA) is currently being used to detect cancer by searching both for mutational and non-mutational alterations. Recent work has shown that the length distribution of cfDNA fragments from a cancer patient can inform tumor ...
Gabriel Renaud +10 more
doaj +1 more source
Clustering and Latent Semantic Indexing Aspects of the Nonnegative Matrix Factorization [PDF]
, 2011 This paper provides a theoretical support for clustering aspect of the nonnegative matrix factorization (NMF). By utilizing the Karush-Kuhn-Tucker optimality conditions, we show that NMF objective is equivalent to graph clustering objective, so ...
Mirzal, Andri
core
BioMed Research International, 2019 Today, it has become a hot issue in cancer research to make precise prognostic prediction for breast cancer patients, which can not only effectively avoid overtreatment and medical resources waste, but also provide scientific basis to help medical staff ...
Hongling Chen +4 more
semanticscholar +1 more source
Separation of Moving Sound Sources Using Multichannel NMF and Acoustic Tracking [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2017 In this paper, we propose a method for separation of moving sound sources. The method is based on first tracking the sources and then estimation of source spectrograms using multichannel nonnegative matrix factorization (NMF) and extracting the sources ...
Joonas Nikunen +2 more
semanticscholar +1 more source
Advanced Science, EarlyView.Laterally spreading tumors (LSTs) are precancerous colorectal lesions characterized by a flat morphology. This study reveals a mechanochemical pathway through which a soft matrix microenvironment diminishes spatial constraints in intestinal adenomas. This process promotes deficiencies in tight junction proteins, mediated by the mechanoreceptor ADORA2B ...
Jiamin Zhong +21 more
wiley +1 more source
Bayesian semi non-negative matrix factorisation [PDF]
, 2016 Non-negative Matrix Factorisation (NMF) has become a standard method for source identification when data, sources and mixing coefficients are constrained to be positive-valued.
Belanche Muñoz, Luis Antonio +2 more
core
Latitude: A Model for Mixed Linear-Tropical Matrix Factorization
, 2018 Nonnegative matrix factorization (NMF) is one of the most frequently-used matrix factorization models in data analysis. A significant reason to the popularity of NMF is its interpretability and the `parts of whole' interpretation of its components ...
Hook, James +2 more
core +1 more source