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
Methodologies for Email Spam Classification Using Large Lan..:
, In:
2023 International Conference on Computational Science and Computational Intelligence (CSCI)
,
De La Noval, Alejandro
;
Gutierrez, Diana
;
Soni, Jayesh
... - p. 179-185 , 2023
Link:
https://doi.org/10.1109/CSCI62032.2023.00034
RT T1 <cTitle>2023 International Conference on Computational Science and Computational Intelligence (CSCI)</cTitle>: T1 <Title>Methodologies for Email Spam Classification Using Large Language Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10590002&Exemplar=1&LAN=DE A1 De La Noval, Alejandro A1 Gutierrez, Diana A1 Soni, Jayesh A1 Upadhyay, Himanshu A1 Perez-Pons, Alexander A1 Lagos, Leonel YR 2023 SN 2769-5654 K1 Deep learning K1 Scientific computing K1 Unsolicited e-mail K1 Computational modeling K1 Large language models K1 Text categorization K1 Feature extraction K1 machine learning K1 natural language processing K1 email spam K1 classification SP 179 OP 185 LK http://dx.doi.org/https://doi.org/10.1109/CSCI62032.2023.00034 DO https://doi.org/10.1109/CSCI62032.2023.00034 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
