The vast amount of health data has been continuously collected for each
...
The COVID-19 pandemic has caused devastating economic and social disrupt...
Low-rank tensor factorization or completion is well-studied and applied ...
Objective: In this paper, we aim to learn robust vector representations ...
Tensor decompositions are powerful tools for dimensionality reduction an...
Existing tensor completion formulation mostly relies on partial observat...
Deep learning is revolutionizing predictive healthcare, including
recomm...
Medication recommendation is an essential task of AI for healthcare. Exi...
Previous hypergraph expansions are solely carried out on either vertex l...
Current social distancing measures to impede COVID-19 (such as
shelter-i...
Modern online media, such as Twitter, Instagram, and YouTube, enable any...
Oversmoothing has been assumed to be the major cause of performance drop...
Online real-time bidding (RTB) is known as a complex auction game where ...
Much work on social media opinion polarization focuses on identifying
se...
This paper addresses the question of identifying the best candidate answ...