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
Deep learning and machine learning-based voice analysis for..:
Costantini, Giovanni
;
Dr., Valerio Cesarini
;
Robotti, Carlo
...
Knowledge-Based Systems. 253 (2022) - p. 109539 , 2022
Link:
https://doi.org/10.1016/j.knosys.2022.109539
RT Journal T1
Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.knosys.2022.109539&Exemplar=1&LAN=DE A1 Costantini, Giovanni A1 Dr., Valerio Cesarini A1 Robotti, Carlo A1 Benazzo, Marco A1 Pietrantonio, Filomena A1 Di Girolamo, Stefano A1 Pisani, Antonio A1 Canzi, Pietro A1 Mauramati, Simone A1 Bertino, Giulia A1 Cassaniti, Irene A1 Baldanti, Fausto A1 Saggio, Giovanni PB Elsevier BV YR 2022 SN 0950-7051 JF Knowledge-Based Systems VO 253 SP 109539 LK http://dx.doi.org/https://doi.org/10.1016/j.knosys.2022.109539 DO https://doi.org/10.1016/j.knosys.2022.109539 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)