Results 51 to 60 of about 4,033,484 (300)

Do generative models learn rare generative factors?

Frontiers in Artificial Intelligence
Generative models are becoming a promising tool in AI alongside discriminative learning. Several models have been proposed to learn in an unsupervised fashion the corresponding generative factors, namely the latent variables critical for capturing the ...
Fasih Haider, Edward Moroshko, Yuyang Xue, Sotirios A. Tsaftaris   +3 more
doaj   +1 more source

On the Use of Kullback–Leibler Divergence for Kernel Selection and Interpretation in Variational Autoencoders for Feature Creation

Information, 2023
This study presents a novel approach for kernel selection based on Kullback–Leibler divergence in variational autoencoders using features generated by the convolutional encoder.
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias, Antonio G. Ravelo-García   +3 more
doaj   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Cross-Cultural Questionnaires and the Necessity of Using Native Translators: A Croatian-Swedish Case

Psychological Topics, 2020
In this paper, we discuss problems of comparing two European cultures in a study of emotional intelligence by relying on traditional back translation of the questionnaire and the scales used in the study (Holmström, Molander, & Takšić, 2008; Molander,
Bo Molander, Stefan Holmström, Vladimir Takšić   +2 more
doaj  

Cybersecurity Alert Prioritization in a Critical High Power Grid With Latent Spaces

IEEE Access, 2023
High-Power electric grid networks require extreme security in their associated telecommunication network to ensure protection and control throughout power transmission.
Juan Ramon Feijoo-Martinez, Alicia Guerrero-Curieses, Francisco Gimeno-Blanes, Mario Castro-Fernandez, Jose Luis Rojo-Alvarez   +4 more
doaj   +1 more source

Dose‐dependent hepatotoxicity of hydrogen peroxide in HepG2 cells and its modulation by CYP450 induction

FEBS Open Bio, EarlyView.
NMR metabolomics revealed concentration‐dependent metabolic perturbations in HepG2 cells exposed to H2O2. Rifampicin pretreatment enhanced metabolic competence, attenuated toxin‐induced alterations and produced metabolite profiles more consistent with human liver physiology, supporting the use of CYP450‐induced HepG2 models for improved in vitro ...
Maren Jinks, Garth L. Maker, Emily C. Davies, Berin A. Boughton, Samantha Lodge   +4 more
wiley   +1 more source

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

Aging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

Correlations of latent variables.

, 2019
Correlations of latent variables.
Jaeheung Yoo (664504), Kibaek Lee (1406962)   +1 more
core   +1 more source

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng, Diego Z. Carvalho, Shahid Karim, Anwar Chahal, Virend K. Somers   +4 more
wiley   +1 more source

Latent Variable Modelling: A Survey* [PDF]

Scandinavian Journal of Statistics, 2007
Abstract.  Latent variable modelling has gradually become an integral part of mainstream statistics and is currently used for a multitude of applications in different subject areas. Examples of ‘traditional’ latent variable models include latent class models, item–response models, common factor models, structural equation models, mixed or random ...
SKRONDAL, ANDERS, RABE‐HESKETH, SOPHIA
openaire   +4 more sources