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
Towards a Generic Framework for Mechanism-guided Deep Learn..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Zhang, Hanbo
;
Li, Jiangxin
;
Liang, Shen
... - p. 5532-5543 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599913
RT T1 <cTitle>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3599913&Exemplar=1&LAN=DE A1 Zhang, Hanbo A1 Li, Jiangxin A1 Liang, Shen A1 Wang, Peng A1 Palpanas, Themis A1 Wang, Chen A1 Wang, Wei A1 Zhou, Haoxuan A1 Song, Jianwei A1 Lu, Wen PB ACM YR 2023 K1 deep learning K1 manufacturing K1 mechanism model K1 Applied computing K1 Operations research K1 Industry and manufacturing K1 Computing methodologies K1 Artificial intelligence SP 5532 OP 5543 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599913 DO https://dl.acm.org/doi/10.1145/3580305.3599913 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
