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
New MCI Detection Method Based on Transformer and EEG Data:
, In:
2023 31st European Signal Processing Conference (EUSIPCO)
,
Chaabene, Siwar
;
Haroun Hassan, Brahim
;
Boudaya, Amal
.. - p. 1200-1204 , 2023
Link:
https://doi.org/10.23919/EUSIPCO58844.2023.10290024
RT T1
2023 31st European Signal Processing Conference (EUSIPCO)
: T1
New MCI Detection Method Based on Transformer and EEG Data
UL https://suche.suub.uni-bremen.de/peid=ieee-10290024&Exemplar=1&LAN=DE A1 Chaabene, Siwar A1 Haroun Hassan, Brahim A1 Boudaya, Amal A1 Chaari, Lotfi A1 Bouaziz, Bassem YR 2023 SN 2076-1465 K1 Europe K1 Parallel processing K1 Transformers K1 Feature extraction K1 Electroencephalography K1 Data models K1 Recording K1 MCI detection K1 EEG K1 verbal fluency task K1 deep learning K1 transformer network SP 1200 OP 1204 LK http://dx.doi.org/https://doi.org/10.23919/EUSIPCO58844.2023.10290024 DO https://doi.org/10.23919/EUSIPCO58844.2023.10290024 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)