Accurate prediction of intensive care unit (ICU) length of stay (LOS) is crucial for optimizing resource allocation and improving patient outcomes. We propose ContrastLOS, a novel graph-based deep ...

Understanding of Linear Regression Models; Basic programming knowledge ; Simple Linear Regression. Simple linear regression is the simplest regression model of all. The model is used when there are ...

Keywords: deep learning, erodible susceptibility, feature selection, game theory, potential impact. Citation: Gholami H, Mohammadifar A, Fitzsimmons KE, Li Y and Kaskaoutis DG (2023) Modeling land ...

num_out_dim: 1 for binary classification and regression task, specific output dimension for multi-class/label classification task, such as 1317 for multi-label classification task for TwoSides dataset ...

A graph based strategic transport planning dataset, aimed at creating the next generation of deep graph neural networks for transfer learning. Based on simulation results of the Four Step Model in PTV ...

Rebooting AI: Deep learning, meet knowledge graphs Knowledge graphs, the 20-year old hype, may have something to offer there. Written by George Anadiotis, Contributor Nov. 20, 2020 at 7:49 a.m. PT ...