Improving the Prediction of Age of Onset of Ttr-Fap Patients Using Graph-Embedding Features

AuthID
 P-00X-4SK
4
Author(s)
5
Editor(s)
Marreiros,G;Martins,B;Paiva,A;Ribeiro,B;Sardinha,A
Document Type
Proceedings Paper
Year published
2022
Published
in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2022 in Lecture Notes in Artificial Intelligence, ISSN: 0302-9743
Volume: 13566, Pages: 183-194 (12)
Conference
21St Epia Conference on Artificial Intelligence (Epia), Date: AUG 31-SEP 02, 2022, Location: Univ Lisbon, Lisbon, PORTUGAL, Sponsors: EPIA, Host: Univ Lisbon
Indexing
Wos®
Scopus®
Dblp®/en/publications/view/955187
Crossref®
Google Scholar®
Publication Identifiers
DBLP: conf/epia/PedrotoJMC22
SCOPUS: 2-s2.0-85138751787
Wos: WOS:000869745400016
Source Identifiers
ISSN: 0302-9743
Export Publication Metadata
Marked List
 Add to Marked List
Info
At this moment we don't have any links to full text documens.

A place for researchers and their institutions

Useful Links

Get Help

© 2024 CRACS & Inesc TEC - All Rights Reserved Privacy Policy | Terms of Service