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
Three Challenges in Utilizing Machine Learning to Predict H..:
, In:
Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
,
Manzini, Thomas
;
Perali, Priyankari
;
Murphy, Robin R.
- p. 737-739 , 2024
Link:
https://dl.acm.org/doi/10.1145/3610978.3640729
RT T1 <cTitle>Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction</cTitle>: T1 <Title>Three Challenges in Utilizing Machine Learning to Predict Human Behavior from Observational Data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3640729&Exemplar=1&LAN=DE A1 Manzini, Thomas A1 Perali, Priyankari A1 Murphy, Robin R. PB ACM YR 2024 K1 human robot collaboration K1 human robot interaction K1 interaction designe K1 machine learning K1 procedural work K1 real time adaptations K1 work as done K1 Human-centered computing K1 Interaction design K1 Computing methodologies K1 Machine learning SP 737 OP 739 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3610978.3640729 DO https://dl.acm.org/doi/10.1145/3610978.3640729 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
