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A unique cardiac electrocardiographic 3D model. Toward interpretable AI diagnosis
(Elsevier, 2022)
Artículo / Artikulua,
Mathematical models of cardiac electrical activity are one of the most important tools for elucidating information about heart diagnostics. In this paper, we present an efficient mathematical formulation for this modeling ...
Flexible Bayesian P-splines for smoothing age-specific spatio-temporal mortality patterns
(SAGE, 2019)
Artículo / Artikulua,
In this paper age-space-time models based on one and two-dimensional P-splines with
B-spline bases are proposed for smoothing mortality rates, where both xed relative scale
and scale invariant two-dimensional penalties ...
In spatio-temporal disease mapping models, identifiability constraints affect PQL and INLA results
(Springer, 2018)
Artículo / Artikulua,
Disease mapping studies the distribution of relative risks or rates in space and time, and typically relies on
generalized linear mixed models (GLMMs) including fixed
effects and spatial, temporal, and spatio-temporal ...
Scalable Bayesian modeling for smoothing disease mapping risks in large spatial data sets using INLA
(Elsevier, 2021)
Artículo / Artikulua,
Several methods have been proposed in the spatial statistics literature to analyse big data sets in continuous domains. However, new methods for analysing high-dimensional areal data are still scarce. Here, we propose a ...
High-dimensional order-free multivariate spatial disease mapping
(Springer, 2023)
Artículo / Artikulua,
Despite the amount of research on disease mapping in recent years, the use of multivariate models for areal spatial data remains
limited due to difficulties in implementation and computational burden. These problems are ...
Stochastic spatio-temporal models for analysing NDVI distribution of GIMMS NDVI3g images
(MDPI, 2017)
Artículo / Artikulua,
The normalized difference vegetation index (NDVI) is an important indicator for evaluating vegetation change, monitoring land surface fluxes or predicting crop models. Due to the great availability of images provided by ...
Unpaired spatio-temporal fusion of image patches (USTFIP) from cloud covered images
(Elsevier, 2023)
Artículo / Artikulua,
Spatio-temporal image fusion aims to increase the frequency and resolution of multispectral satellite sensor images in a cost-effective manner. However, practical constraints on input data requirements and computational ...
Predicting cancer incidence in regions without population-based cancer registries using mortality
(Oxford University Press, 2023)
Artículo / Artikulua,
Cancer incidence numbers are routinely recorded by national or regional population-based cancer registries (PBCRs). However, in most southern European countries, the local PBCRs cover only a fraction of the country. ...
Logistic regression versus XGBoost for detecting burned areas using satellite images
(Springer, 2024)
Artículo / Artikulua,
Classical statistical methods prove advantageous for small datasets, whereas machine learning algorithms can excel with larger datasets. Our paper challenges this conventional wisdom by addressing a highly significant ...
Hybrid pine (Pinus attenuata × Pinus radiata) somatic embryogenesis: what do you prefer, mother or nurse?
(MDPI, 2021)
info:eu-repo/semantics/article,
Development of hybrid pines of Pinus radiata D. Don for commercial forestry presents an opportunity to diversify the current resource of plant material. Climate change and different land uses pose challenges, making ...