IEEE

Generative Causality-Driven Network for Graph Multi-Task Learning

Abstract: Multi-task learning (MTL) is a standard learning paradigm in machine learning. The central idea of MTL is to capture the shared knowledge among multiple tasks for mitigating the problem of ...

The household items now linked to four times the increased risk of debilitating multiple sclerosis

New research reveals a deadly consequence of lifelong exposure to household forever chemicals linking high blood ...
Frontiers

A multi-graph convolutional network method for Alzheimer’s disease diagnosis based on multi-frequency EEG data with dual-mode connectivity

Objective: Alzheimer’s disease (AD) is mainly identified by cognitive function deterioration. Diagnosing AD at early stages poses significant challenges for both researchers and healthcare ...
IEEE

Multi-Temporal Partitioned Graph Attention Networks for Financial Fraud Detection

Abstract: The issue of transaction security has attracted widespread attention due to the frequent occurrence of financial fraud. Graph neural networks (GNNs) can effectively detect financial ...
Journalism in the Americas

Biochemistry Major Tu-Quyen Dao is Integrating AI Into Healthcare

Tu-Quyen Dao, a senior biochemistry student, is studying how AI can be applied to improve healthcare. Tu-Quyen Dao. Photo credit: Eileen Chong. I understand that you were involved in a research ...
Frontiers

Case Report: Investigating the feasibility of virtual reality meditation for managing migraine in females: a multiple baseline replicated case study

1 The University of Adelaide, IIMPACT in Health, Adelaide, SA, Australia 2 Persistent Pain Research Group, Hopwood Centre for Neurobiology, South Australian Medical Research Institute (SAHMRI), ...