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
OpeNTF: A Benchmark Library for Neural Team Formation:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Dashti, Arman
;
Saxena, Karan
;
Patel, Dhwani
. - p. 3913-3917 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557526
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>OpeNTF: A Benchmark Library for Neural Team Formation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557526&Exemplar=1&LAN=DE A1 Dashti, Arman A1 Saxena, Karan A1 Patel, Dhwani A1 Fani, Hossein PB ACM YR 2022 K1 benchmark library K1 negative sampling K1 neural team formation K1 Information systems K1 World Wide Web K1 Web searching and information discovery K1 Social recommendation K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems SP 3913 OP 3917 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557526 DO https://dl.acm.org/doi/10.1145/3511808.3557526 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
