Patients are compared to each other using multivariate time series (MTS) data. Each ICU patient's stay is represented as a time series capturing medical interventions like mechanical ventilation, ...

3D Data,3D Point Cloud,3D Point Cloud Data,Advanced Architectures,Aged Care,Anomaly Detection,Camera-based System,Computer Vision,Convolutional Neural Network,Data Augmentation,Deep Learning,Deep ...

A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...

In this paper, we propose a novel Dynamic Graph Convolution and Spatio-Temporal Self-Attention (DGSTA) network for traffic flow prediction. Specifically, considering the large amount of short-term and ...

Differences, if any, in these brain networks are largely unknown because EP and CP have predominantly been studied, characterized, and compared to control populations independently. This study’s ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...