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
Increasing Patient Specificity of the Recurrent Neural Netw..:
, In:
2022 IEEE 26th International Conference on Intelligent Engineering Systems (INES)
,
Szabo, Balint
;
Szlavecz, Akos
;
Kovacs, Katalin
... - p. 000027-000032 , 2022
Link:
https://doi.org/10.1109/INES56734.2022.9922645
RT T1 <cTitle>2022 IEEE 26th International Conference on Intelligent Engineering Systems (INES)</cTitle>: T1 <Title>Increasing Patient Specificity of the Recurrent Neural Network Based Insulin Sensitivity Prediction by Transfer Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9922645&Exemplar=1&LAN=DE A1 Szabo, Balint A1 Szlavecz, Akos A1 Kovacs, Katalin A1 Palancz, Bela A1 Chase, Geoffrey A1 Benyo, Balazs YR 2022 K1 Sensitivity K1 Recurrent neural networks K1 Protocols K1 Transfer learning K1 Medical treatment K1 Stochastic processes K1 Predictive models K1 machine learning K1 artificial intelligence K1 mixture density network K1 deep neural network K1 insulin sensitivity K1 tight glycaemic control K1 intensive care K1 STAR protocol K1 validation K1 in-silico validation SP 000027 OP 000032 LK http://dx.doi.org/https://doi.org/10.1109/INES56734.2022.9922645 DO https://doi.org/10.1109/INES56734.2022.9922645 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
