I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Hierarchical Matching Network for Crime Classification:
, In:
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Wang, Pengfei
;
Fan, Yu
;
Niu, Shuzi
... - p. 325-334 , 2019
Link:
https://dl.acm.org/doi/10.1145/3331184.3331223
RT T1
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
: T1
Hierarchical Matching Network for Crime Classification
UL https://suche.suub.uni-bremen.de/peid=acm-3331223&Exemplar=1&LAN=DE A1 Wang, Pengfei A1 Fan, Yu A1 Niu, Shuzi A1 Yang, Ze A1 Zhang, Yongfeng A1 Guo, Jiafeng PB ACM YR 2019 K1 crime classification K1 hierarchical matching network K1 hierarchical multi-label classification K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification K1 Applied computing K1 Law, social and behavioral sciences K1 Machine learning approaches SP 325 OP 334 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3331184.3331223 DO https://dl.acm.org/doi/10.1145/3331184.3331223 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)