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
A hybrid supervised machine learning classifier system for ..:
Solanki, Yogendra Singh
;
Chakrabarti, Prasun
;
Jasiński, Michał
...
Electronics. , 2021
Link:
http://hdl.handle.net/10084/143078
RT Journal T1
A hybrid supervised machine learning classifier system for breast cancer prognosis using feature selection and data imbalance handling approaches
UL https://suche.suub.uni-bremen.de/peid=base-fttuostrava:oai:dspace.vsb.cz:10084_143078&Exemplar=1&LAN=DE A1 Solanki, Yogendra Singh A1 Chakrabarti, Prasun A1 Jasiński, Michał A1 Leonowicz, Zbigniew A1 Bolshev, Vadim A1 Vinogradov, Alexander A1 Jasińska, Elżbieta A1 Goňo, Radomír A1 Nami, Mohammad PB MDPI YR 2021 K1 breast cancer prognosis K1 supervised machine learning classifier K1 data selection K1 imbalance handling JF Electronics LK http://hdl.handle.net/10084/143078 DO http://hdl.handle.net/10084/143078 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)