Zobrazeno 1 - 10
of 185
pro vyhledávání: '"Janet H. Hsiao"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract Using background music (BGM) during learning is a common behavior, yet whether BGM can facilitate or hinder learning remains inconclusive and the underlying mechanism is largely an open question. This study aims to elucidate the effect of se
Externí odkaz:
https://doaj.org/article/0dcc9b108550461b92bc85950c62e413
Publikováno v:
npj Science of Learning, Vol 7, Iss 1, Pp 1-13 (2022)
Abstract Greater eyes-focused eye movement pattern during face recognition is associated with better performance in adults but not in children. We test the hypothesis that higher eye movement consistency across trials, instead of a greater eyes-focus
Externí odkaz:
https://doaj.org/article/96d82188de4a4fa89bb534c8b1bad523
Publikováno v:
Cognitive Research, Vol 7, Iss 1, Pp 1-8 (2022)
Abstract Use of face masks is one of the measures adopted by the general community to stop the transmission of disease during this ongoing COVID-19 pandemic. This wide use of face masks has indeed been shown to disrupt day-to-day face recognition. Pe
Externí odkaz:
https://doaj.org/article/e56eced4c1854461b98ff1187317f805
Publikováno v:
SoftwareX, Vol 22, Iss , Pp 101371- (2023)
Motor imagery brain-computer interface (MI-BCI) is a promising tool for neuro-rehabilitation. The real-time MI-BCI enables people with motor dysfunction disease to interact with the outside world. This work develops a Matlab-based real-time MI-BCI (M
Externí odkaz:
https://doaj.org/article/b02cca5a11524b25bb99007cabc94f97
Autor:
Vanessa Y. Cho, Janet H. Hsiao, Antoni B. Chan, Hien C. Ngo, Nigel M. King, Robert P. Anthonappa
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract No previous studies have investigated eye-movement patterns to show children’s information processing while viewing clinical images. Therefore, this study aimed to explore children and their educators’ perception of a midline diastema by
Externí odkaz:
https://doaj.org/article/ccbb64c64c0e4ab6b03a611728fe7533
Publikováno v:
npj Science of Learning, Vol 8, Iss 1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/cf88c8b57f474ed49d092e0e68eaa0bf
Autor:
Janet H. Hsiao, Antoni B. Chan
Publikováno v:
British Journal of Psychology. 114:17-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1c5620729b50eb8269bb47d6505a67c
https://doi.org/10.1111/bjop.12647
https://doi.org/10.1111/bjop.12647
Publikováno v:
Developmental Psychology. 59:353-363
Early attention bias to threat-related negative emotions may lead children to overestimate dangers in social situations. This study examined its emergence and how it might develop in tandem with a known predictor namely temperamental shyness for todd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d702c529231f4d5b29af570ca655931c
https://doi.org/10.1037/dev0001472
https://doi.org/10.1037/dev0001472
Autor:
Yi Yang, Yueyuan Zheng, Didan Deng, Jindi Zhang, Yongxiang Huang, Yumeng Yang, Janet H. Hsiao, Caleb Chen Cao
Publikováno v:
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 10:231-242
Model explanations are generated by XAI (explainable AI) methods to help people understand and interpret machine learning models. To study XAI methods from the human perspective, we propose a human-based benchmark dataset, i.e., human saliency benchm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0af230d8a2ffcd9f6a7dc4fa9562bf8
https://doi.org/10.1609/hcomp.v10i1.22002
https://doi.org/10.1609/hcomp.v10i1.22002
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:3197-3211
We propose a ParametRIc MAnifold Learning (PRIMAL) algorithm for Gaussian mixtures models (GMM), assuming that GMMs lie on or near to a manifold of probability distributions that is generated from a low-dimensional hierarchical latent space through p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d904517c3d4741170f5cd4a86078f9c
https://doi.org/10.1109/tpami.2020.3048727
https://doi.org/10.1109/tpami.2020.3048727