文献
J-GLOBAL ID:201802247609587495
整理番号:18A1771237
予測分類精度を用いた動的機能接続性のモデル評価【JST・京大機械翻訳】
Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy
著者 (8件):
Nielsen SOren FOns Vind
(Department of Applied Mathematics and Computer Science, Technical University of Denmark)
,
Levin-Schwartz Yuri
(Department of CSEE, University of Maryland, Baltimore County, USA)
,
Vidaurre Diego
(OHBA, Department of Psychiatry, University of Oxford, Welcome Centre for Integrative Neuroimaging, UK)
,
Adali Tulay
(Department of CSEE, University of Maryland, Baltimore County, USA)
,
Calhoun Vince D.
(The Mind Research Network, Albuquerque, USA)
,
Madsen Kristoffer H.
(Department of Applied Mathematics and Computer Science, Technical University of Denmark)
,
Hansen Lars Kai
(Department of Applied Mathematics and Computer Science, Technical University of Denmark)
,
Morup Morten
(Department of Applied Mathematics and Computer Science, Technical University of Denmark)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2018
号:
ICASSP
ページ:
2566-2570
発行年:
2018年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)