Results 21 to 30 of about 6,110,460 (312)
Brain Imaging Generation with Latent Diffusion Models [PDF]
DGM4MICCAI@MICCAI, 2022 Deep neural networks have brought remarkable breakthroughs in medical image analysis. However, due to their data-hungry nature, the modest dataset sizes in medical imaging projects might be hindering their full potential.
W. H. Pinaya +7 more
semanticscholar +1 more source
Latent class instrumental variables and the monotonicity assumption
Emerging Themes in Epidemiology, 2020 A key aspect of the article by Lousdal on instrumental variables was a discussion of the monotonicity assumption. However, there was no mention of the history of the development of this assumption.
Stuart G. Baker
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Psych, 2021 Unmodeled differences between individuals or groups can bias parameter estimates and may lead to false-positive or false-negative findings. Such instances of heterogeneity can often be detected and predicted with additional covariates.
Manuel Arnold +2 more
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Algorithms, 2020 A completely new economic system is required for the era of Industry 4.0. Blockchain technology and blockchain cryptocurrencies are the best means to confront this new trustless economy.
Kamyar Sabri-Laghaie +3 more
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The Relationship Between Executive Functions and Language Abilities in Children: A Latent Variables Approach. [PDF]
J Speech Lang Hear Res, 2017 Kaushanskaya M +4 more
europepmc +2 more sources
VARIABEL LATEN SEBAGAI MODERATOR DAN MEDIATOR DALAM HUBUNGAN KAUSAL
E-Jurnal Matematika, 2013 Latent variables are variables that can not be measured directly. In analysis of causal relationship involving three latent variables, one latent variable can be a moderator or mediator variables. Goodness of Fit moderation and mediation model of latent
I KOMANG GEDE ANTARA +2 more
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Frontiers in Genetics, 2022 Data integration using hierarchical analysis based on the central dogma or common pathway enrichment analysis may not reveal non-obvious relationships among omic data.
Francisco José de Novais +9 more
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Relating latent class membership to external variables: An overview
British Journal of Mathematical & Statistical Psychology, 2020 In this article we provide an overview of existing approaches for relating latent class membership to external variables of interest. We extend on the work of Nylund‐Gibson et al. (Structural Equation Modeling: A Multidisciplinary Journal, 2019, 26, 967),
Zsuzsa Bakk, J. Kuha
semanticscholar +1 more source
IDENTIFIABILITY OF STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2019 In this paper the problem of identifiability of structural equation models with latent variables is considered. The conditions of the almost everywhere local identifiability for such models are obtained.
Sergei Stafeev
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An Effective Manifold Learning Approach to Parametrize Data for Generative Modeling of Biosignals
IEEE Access, 2020 Modeling data generated by physiological systems is a crucial step in many problems such as classification, signal reconstruction and data augmentation.
Lorenzo Manoni +2 more
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