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
Interpreting High Order Epistasis Using Sparse Transformers:
, In:
Proceedings of the 8th ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies
,
Graca, Miguel
;
Marques, Diogo
;
Santander-Jiménez, Sergio
.. - p. 114-125 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580252.3586982
RT T1
Proceedings of the 8th ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies
: T1
Interpreting High Order Epistasis Using Sparse Transformers
UL https://suche.suub.uni-bremen.de/peid=acm-3586982&Exemplar=1&LAN=DE A1 Graca, Miguel A1 Marques, Diogo A1 Santander-Jiménez, Sergio A1 Sousa, Leonel A1 Ilic, Aleksandar PB ACM YR 2023 K1 genome-wide association studies K1 epistasis detection K1 machine learning K1 Computing methodologies K1 Applied computing K1 Machine learning K1 Life and medical sciences K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 Machine learning approaches K1 Computational biology K1 Genetics K1 Neural networks SP 114 OP 125 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580252.3586982 DO https://dl.acm.org/doi/10.1145/3580252.3586982 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)