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
Pinoycchio: Unleashing the Power of OpenAI and Ensemble Mod..:
, In:
2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT)
,
Cadelina, Pete Andre
;
Go, Kashmel Galil
;
Pepito, Glenn
- p. 190-193 , 2024
Link:
https://doi.org/10.1109/ICCECT60629.2024.10545759
RT T1 <cTitle>2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT)</cTitle>: T1 <Title>Pinoycchio: Unleashing the Power of OpenAI and Ensemble Models for the Detection of Government Related Filipino Fake News</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10545759&Exemplar=1&LAN=DE A1 Cadelina, Pete Andre A1 Go, Kashmel Galil A1 Pepito, Glenn YR 2024 K1 Support vector machines K1 Measurement K1 Logistic regression K1 Shape K1 Computational modeling K1 Machine learning K1 Vectors K1 voting ensemble K1 Support Vector Machine K1 Logistic Regression K1 Naive Bayes K1 GPT3.5-turbo K1 OpenAI K1 Fake News Classification SP 190 OP 193 LK http://dx.doi.org/https://doi.org/10.1109/ICCECT60629.2024.10545759 DO https://doi.org/10.1109/ICCECT60629.2024.10545759 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
