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
How Long short-term memory artificial neural network, synth..:
, In:
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)
,
Nasybullin, Albert
;
Maksimenko, Vladimir
;
Kurkin, Semen
- p. 210-213 , 2022
Link:
https://doi.org/10.1109/DCNA56428.2022.9923206
RT T1
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)
: T1
How Long short-term memory artificial neural network, synthetic data, and fine-tuning improve the classification of raw EEG data
UL https://suche.suub.uni-bremen.de/peid=ieee-9923206&Exemplar=1&LAN=DE A1 Nasybullin, Albert A1 Maksimenko, Vladimir A1 Kurkin, Semen YR 2022 SN 2770-744X K1 Band-pass filters K1 Visualization K1 Filtering K1 Pipelines K1 Machine learning K1 Complex networks K1 Brain modeling K1 EEG K1 classification K1 LSTM K1 synthetic data K1 fine-tuning SP 210 OP 213 LK http://dx.doi.org/https://doi.org/10.1109/DCNA56428.2022.9923206 DO https://doi.org/10.1109/DCNA56428.2022.9923206 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)