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
Improved Prediction of Ovarian Cancer Using Ensemble Classi..:
Nihal Abuzinadah
;
Sarath Kumar Posa
;
Aisha Ahmed Alarfaj
...
https://www.mdpi.com/2072-6694/15/24/5793. , 2023
Link:
https://doi.org/10.3390/cancers15245793
RT Journal T1
Improved Prediction of Ovarian Cancer Using Ensemble Classifier and Shaply Explainable AI
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:ebeaaaa63ff64d328eb449e476f86dcb&Exemplar=1&LAN=DE A1 Nihal Abuzinadah A1 Sarath Kumar Posa A1 Aisha Ahmed Alarfaj A1 Ebtisam Abdullah Alabdulqader A1 Muhammad Umer A1 Tai-Hoon Kim A1 Shtwai Alsubai A1 Imran Ashraf PB MDPI AG YR 2023 K1 ovarian cancer detection K1 explainable AI K1 ensemble learning K1 bagging and boosting K1 Neoplasms. Tumors. Oncology. Including cancer and carcinogens K1 RC254-282 JF https://www.mdpi.com/2072-6694/15/24/5793 LK http://dx.doi.org/https://doi.org/10.3390/cancers15245793 DO https://doi.org/10.3390/cancers15245793 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)