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®1
Google Scholar®
Publication Identifiers
Dblp: conf/epia/PedrotoJMC22
Scopus: 2-s2.0-85138751787
Wos: WOS:000869745400016
Source Identifiers
ISSN: 0302-9743
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