We represent populations as a sparse graph where its vertices are associated with image-based feature vectors and the edges encode phenotypic information. This structure was used to train a GCN model on partially labelled graphs, aiming to infer the classes of unlabelled nodes from the node ...
In this paper, we introduce the novel concept of Graph Convolutional Networks (GCN) for brain analysis in populations, combining imaging and non-imaging data. We represent populations as a sparse graph where its vertices are associated with image-based feature vectors and the edges encode ...
The population-based centrality weight proposed in this study was applied to two types of deep learning models that are effective for predicting hourly PM2.5 at the individual district level: a hybrid model of CNN and GRU, and a hybrid model of GCN and GRU. The reason for these two models ...
Although both CNN and RNN can be used for aerobics movement recognition tasks based on human skeleton, the important information of the graphical structure of the human skeleton is neglected. With the rise of GCN, GCN has started to be combined with human skeletal aerobics movement recognition. ...
melano- pterus was examined using two datasets: the first based on estimates from a "single deme" (SID) in Northern Australia, the second based on a collection of samples taken from various locations in the Indo-Pacific, which we refer to as the "scatter" sample (SCD) (see Fig. 1,...
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1996-based population projections by legal marital status for England and Wales This article presents the key results of the Government Actuary's Department's latest population projections by legal marital status for England and Wales. The new projections are based on the estimated population of Engla...
如CNN、RNN、GCN、Transformer、BERT。 在节省资源方面,采用了一种KnowPrompt方式。 在文件领域,主要采用了一种DocuNet的方式 2.3 Attribute Extraction 给定句子、实体和属性的描述 DeepKE可以推断属性的类型 3 Tooklit Design and Implementation 本工具包主要包含如下方面: ...
To summarise population relationships, different principal component (PC) analyses based on the allele frequencies of CAG and GGC have been checked. A plot (not shown) drawn with complete allele frequencies of the two repeats in the 13 populations analysed here, and also including two samples ...
Inasmuch as no reliable norms exist for such a prediction, a multiple linear regression procedure was used to generate an equation to predict hair Zn concentrations based on a person's height, weight, age, and sex. The regression equations, derived from subjects with complete data records, are...