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
Interactive Assessment Tool for Gaze-based Machine Learning..:
, In:
ACM SIGIR Conference on Human Information Interaction and Retrieval
,
Valdunciel, Pablo
;
Bhatti, Omair Shahzad
;
Barz, Michael
. - p. 332-336 , 2022
Link:
https://dl.acm.org/doi/10.1145/3498366.3505834
RT T1
ACM SIGIR Conference on Human Information Interaction and Retrieval
: T1
Interactive Assessment Tool for Gaze-based Machine Learning Models in Information Retrieval
UL https://suche.suub.uni-bremen.de/peid=acm-3505834&Exemplar=1&LAN=DE A1 Valdunciel, Pablo A1 Bhatti, Omair Shahzad A1 Barz, Michael A1 Sonntag, Daniel PB ACM YR 2022 K1 data visualization K1 eye tracking K1 information retrieval K1 interactive model assessment K1 reading K1 relevance estimation SP 332 OP 336 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3498366.3505834 DO https://dl.acm.org/doi/10.1145/3498366.3505834 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)