Back
  1. Home
  3. Detailed Reference
Download
Article (Scientific journals)
Improved Highway Network Block for Training Very Deep Neural Networks
OYEDOTUN, Oyebade; SHABAYEK, Abd El Rahman; AOUADA, Djamila et al.
2020 • In IEEE Access
Peer Reviewed verified by ORBi
Permalink
https://hdl.handle.net/10993/44462
DOI
10.1109/ACCESS.2020.3026423
 

Files (1)Send toDetailsStatisticsBibliographySimilar publications

Files

Full Text
OyebadeShabayekAouadaOttersten_IEEE Access.pdf
Author preprint (3.87 MB)
Download

All documents in ORBilu are protected by a user license.

Send to


Details


Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Disciplines :
Computer science
Author, co-author :
OYEDOTUN, Oyebade ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2
SHABAYEK, Abd El Rahman  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2
AOUADA, Djamila  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2
OTTERSTEN, Björn  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
Improved Highway Network Block for Training Very Deep Neural Networks
Publication date :
October 2020
Journal title :
IEEE Access
ISSN :
2169-3536
Publisher :
IEEE, United States
Peer reviewed :
Peer Reviewed verified by ORBi
FnR Project :
FNR11295431 - Automatic Feature Selection For Visual Recognition, 2016 (01/02/2017-31/01/2021) - Oyebade Oyedotun
Funders :
FNR - Fonds National de la Recherche
Available on ORBilu :
since 16 October 2020

Statistics

Number of views
195 (31 by Unilu)
Number of downloads
90 (8 by Unilu)
More statistics
Scopus citations®
 
4
Scopus citations®
without self-citations
4
OpenAlex citations
 
3
WoS citations™
 
3

Bibliography

Similar publications


Contact ORBilu