文献
J-GLOBAL ID:202202240509733979
整理番号:22A0980168
変圧器ベースのマルチタスク学習による癌患者の転帰の予測【JST・京大機械翻訳】
Predicting Outcomes for Cancer Patients with Transformer-Based Multi-task Learning
著者 (6件):
Gerrard Leah
(Faculty of Engineering and IT, Australian AI Institute, University of Technology Sydney, Sydney, Australia)
,
Gerrard Leah
(Health Economics and Research Division, Australian Government Department of Health, Canberra, Australia)
,
Peng Xueping
(Faculty of Engineering and IT, Australian AI Institute, University of Technology Sydney, Sydney, Australia)
,
Clarke Allison
(Health Economics and Research Division, Australian Government Department of Health, Canberra, Australia)
,
Schlegel Clement
(Health Economics and Research Division, Australian Government Department of Health, Canberra, Australia)
,
Jiang Jing
(Faculty of Engineering and IT, Australian AI Institute, University of Technology Sydney, Sydney, Australia)
資料名:
Lecture Notes in Computer Science
(Lecture Notes in Computer Science)
巻:
13151
ページ:
381-392
発行年:
2022年
JST資料番号:
H0078D
ISSN:
0302-9743
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)