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
A Deep Learning-based Malware Hunting Technique to Handle I..:
, In:
2020 17th International ISC Conference on Information Security and Cryptology (ISCISC)
,
Moti, Zahra
;
Hashemi, Sattar
;
Jahromi, Amir Namavar
- p. 48-53 , 2020
Link:
https://doi.org/10.1109/ISCISC51277.2020.9261913
RT T1
2020 17th International ISC Conference on Information Security and Cryptology (ISCISC)
: T1
A Deep Learning-based Malware Hunting Technique to Handle Imbalanced Data
UL https://suche.suub.uni-bremen.de/peid=ieee-9261913&Exemplar=1&LAN=DE A1 Moti, Zahra A1 Hashemi, Sattar A1 Jahromi, Amir Namavar YR 2020 SN 2475-2371 K1 Malware K1 Feature extraction K1 Machine learning algorithms K1 Generative adversarial networks K1 Data models K1 Computational modeling K1 Training K1 Convolutional Neural Network (CNN) K1 Long Short Term Memory(LSTM) K1 Generative Adversarial Network(GAN) K1 Opcode K1 Imbalanced K1 Deep Learning SP 48 OP 53 LK http://dx.doi.org/https://doi.org/10.1109/ISCISC51277.2020.9261913 DO https://doi.org/10.1109/ISCISC51277.2020.9261913 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)