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
Deep learning in insurance: Accuracy and model interpretabi..:
Kevin McDonnell
;
FINBARR MURPHY
;
Barry Sheehan
..
doi:10.34961/researchrepository-ul.21995963.v1. , 2023
Link:
https://doi.org/10.34961/researchrepository-ul.2199596..
RT Journal T1
Deep learning in insurance: Accuracy and model interpretability using TabNet
UL https://suche.suub.uni-bremen.de/peid=base-ftunivlimericfig:oai:figshare.com:article_21995963&Exemplar=1&LAN=DE A1 Kevin McDonnell A1 FINBARR MURPHY A1 Barry Sheehan A1 Leandro Masello A1 German Castignani YR 2023 K1 Commerce K1 management K1 tourism and services K1 Economics K1 Mathematical sciences K1 Deep Learning (DL) K1 telematics-based insurance K1 xgboost K1 machine learning K1 connected vechicles K1 insurance K1 general llinear model JF doi:10.34961/researchrepository-ul.21995963.v1 LK http://dx.doi.org/https://doi.org/10.34961/researchrepository-ul.21995963.v1 DO https://doi.org/10.34961/researchrepository-ul.21995963.v1 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)