A model is a way of structuring knowledge in order to provide a level of explanation ... effective connectivity (such as dynamic causal modelling in fMRI) is an example of a dynamic model being ...

For example, greater readiness for telework is associated with ... Satisfaction with telework values between 0.5 and 1 were projected continuously for better visualization of the graph. Something ...

In this Personal View, we critically evaluate the limitations and underlying challenges of existing research into the negative mental health consequences of internet-mediated technologies on young ...

In this paper, we propose a Memory-Aware Graph Interactive Causal Network (MagicNet) that considers both temporal and spatial dependencies in financial documents and introduces causality-based ...

Customers want details on the mechanics of enterprise AI - can vendors deliver? Walter Sun sheds light on the specifics of ...

Causal graphs are powerful tools for understanding cause-effect relationships in dynamic systems [1], enabling effective intervention strategies in complex and evolving scenarios. The Dynamic Causal ...

This repository contains the implementation of our proposed Edge-Enhanced Causal Attention Learning (ECAL) framework, which effectively incorporates edge features into causal attention mechanisms to ...