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
ACGANs Improve Chemical Sensors for Challenging Distributio..:
, In:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)
,
Moore, Alexander M.
;
Paffenroth, Randy C.
;
Ngo, Ken T.
. - p. 286-293 , 2022
Link:
https://doi.org/10.1109/ICMLA55696.2022.00047
RT T1
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)
: T1
ACGANs Improve Chemical Sensors for Challenging Distributions
UL https://suche.suub.uni-bremen.de/peid=ieee-10069244&Exemplar=1&LAN=DE A1 Moore, Alexander M. A1 Paffenroth, Randy C. A1 Ngo, Ken T. A1 Uzarski, Joshua R. YR 2022 K1 Training K1 Chemical sensors K1 Training data K1 Data models K1 Sensor systems K1 Chemical and biological sensors K1 Safety K1 deep learning K1 multitask learning SP 286 OP 293 LK http://dx.doi.org/https://doi.org/10.1109/ICMLA55696.2022.00047 DO https://doi.org/10.1109/ICMLA55696.2022.00047 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)