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of 8
pro vyhledávání: '"Jasy Suet Yan Liew"'
Autor:
Yew Ken Heng, Jasy Suet Yan Liew, Mohammad Farris Iman Leong Abdullah, Ying Tang, Nathan Prestopnik
Publikováno v:
International Journal of Serious Games, Vol 10, Iss 3 (2023)
Games have shown successful intervention outcomes and can be used to complement the treatment of anxiety disorders. However, current serious game solutions are designed to be task-based rather than story-based. We present ReWIND, a serious role-playi
Externí odkaz:
https://doaj.org/article/d69dd0048a24465a90d7b876ad01eba2
Autor:
Kuan Shyang Yong, Jasy Suet Yan Liew
Publikováno v:
Journal of Intelligent Information Systems.
Autor:
Ying Hao Lim, Jasy Suet Yan Liew
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop.
Autor:
Jasy Suet Yan Liew, Howard R. Turtle
Publikováno v:
SRW@HLT-NAACL
Autor:
Jasy Suet Yan Liew
Publikováno v:
EACL
Detecting emotions on microblogging sites such as Twitter is a subject of interest among researchers in behavioral studies investigating how people react to different events, topics, etc., as well as among users hoping to forge stronger and more mean
Publikováno v:
Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces.
Our research investigation focuses on the role of humans in supplying corrected examples in active learning cycles, an important aspect of deploying active learning in practice. In this paper, we discuss sampling strategies and sampling sizes in sett
Publikováno v:
LTCSS@ACL
We propose a semi-automatic approach for content analysis that leverages machine learning (ML) being initially trained on a small set of hand-coded data to perform a first pass in coding, and then have human annotators correct machine annotations in
Publikováno v:
CHI Extended Abstracts
This paper explores the formative user interface design of a socially-interactive dressing room. The socially-interactive dressing room allows shoppers to talk to their friends in real time for opinions on their garment purchasing decisions. Our work