文献
J-GLOBAL ID:201702233427178636
整理番号:17A0368945
EPRENNID:不均衡データの最近傍分類のための進化的プロトタイプ縮小に基づくアンサンブル【Powered by NICT】
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data
著者 (10件):
Vluymans Sarah
(Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Belgium)
,
Vluymans Sarah
(Data Mining and Modeling for Biomedicine, VIB Inflammation Research Center, Ghent, Belgium)
,
Vluymans Sarah
(Department of Computer Science and Artificial Intelligence, University of Granada, Spain)
,
Triguero Isaac
(Data Mining and Modeling for Biomedicine, VIB Inflammation Research Center, Ghent, Belgium)
,
Triguero Isaac
(Department of Internal Medicine, Ghent University, Belgium)
,
Triguero Isaac
(School of Computer Science, University of Nottingham, Jubilee Campus, Wollaton Road, Nottingham NG8 1BB, United Kingdom)
,
Cornelis Chris
(Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Belgium)
,
Cornelis Chris
(Department of Computer Science and Artificial Intelligence, University of Granada, Spain)
,
Saeys Yvan
(Data Mining and Modeling for Biomedicine, VIB Inflammation Research Center, Ghent, Belgium)
,
Saeys Yvan
(Department of Internal Medicine, Ghent University, Belgium)
資料名:
Neurocomputing
(Neurocomputing)
巻:
216
ページ:
596-610
発行年:
2016年
JST資料番号:
W0360A
ISSN:
0925-2312
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)