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
Feature selection for multi-label text data: An ensemble ap..:
, In:
2022 9th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)
,
Miri, Mohsen
;
Dowlatshahi, Mohammad Bagher
;
Hashemi, Amin
- p. 1-6 , 2022
Link:
https://doi.org/10.1109/CFIS54774.2022.9756484
RT T1
2022 9th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)
: T1
Feature selection for multi-label text data: An ensemble approach using geometric mean aggregation
UL https://suche.suub.uni-bremen.de/peid=ieee-9756484&Exemplar=1&LAN=DE A1 Miri, Mohsen A1 Dowlatshahi, Mohammad Bagher A1 Hashemi, Amin YR 2022 SN 2771-1374 K1 Feature extraction K1 Data models K1 Classification algorithms K1 Intelligent systems K1 Ensemble learning K1 Multi-label feature selection K1 Text classification K1 Geom-mean aggregation SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/CFIS54774.2022.9756484 DO https://doi.org/10.1109/CFIS54774.2022.9756484 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)