📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Using artificial intelligence and deep learning to optimise the selection of adult congenital heart disease patients in S-ICD screening. (2024)

First Author: ElRefai M

Attributed to: The mathematics of Stackelberg games in machine learning: constructing categories towards powerful algorithms funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.ipej.2024.06.003

PubMed Identifier: 38871179

Publication URI: http://europepmc.org/abstract/MED/38871179

Type: Journal Article/Review

Volume: 24

Parent Publication: Indian pacing and electrophysiology journal

Issue: 4

ISSN: 0972-6292