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
Salary Prediction via Sectoral Features in Turkey:
, In:
2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)
,
Demir Inan Ozer, Sukru
;
Ulke, Berkay
;
Serhan Danis, F.
. - p. 1-6 , 2022
Link:
https://doi.org/10.1109/INISTA55318.2022.9894130
RT T1 <cTitle>2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)</cTitle>: T1 <Title>Salary Prediction via Sectoral Features in Turkey</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9894130&Exemplar=1&LAN=DE A1 Demir Inan Ozer, Sukru A1 Ulke, Berkay A1 Serhan Danis, F. A1 Keziban Orman, Gunce YR 2022 SN 2768-7295 K1 Estimation K1 Training data K1 Artificial neural networks K1 Standardization K1 Machine learning K1 Predictive models K1 Prediction algorithms K1 Salary prediction K1 gradient boosting K1 machine learning K1 neural networks K1 regression SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/INISTA55318.2022.9894130 DO https://doi.org/10.1109/INISTA55318.2022.9894130 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
