Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Wenyi Xiao"'
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Overconfidence has undertaken an indispensable role in the psychology of managers and places important significance on managers’ behavior and decision-making. This study investigates the effect of Fintech on the psychological traits of managers fro
Externí odkaz:
https://doaj.org/article/297d0d7a2aa047caac7e9e87d5f853b0
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
The impact of CEOs' psychological traits on firms' decision-making has been explored by many psychological researchers. What's more, the CEO hometown identity, as one of the most fundamental psychological traits, has drawn increasing attention from t
Externí odkaz:
https://doaj.org/article/2edd9d2deda04df28d37f24e3deb9af4
Mental health conditions are difficult to diagnose, requiring expert clinicians and subjective judgements. There has been interest in finding quantitative biomarkers using resting state electroencephalogram (EEG) data. Here, we focus on resting state
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf5d44cf23811195df335e6943c9b55f
https://doi.org/10.1101/2023.05.21.23290300
https://doi.org/10.1101/2023.05.21.23290300
Autor:
Wenyi Xiao, Dede, Adam
There have been many reports of dependent measures derived from resting state EEG data that vary as a function of autism diagnosis. Despite intensive research, there is no clear consensus regarding which of the many common variables extracted from EE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::670697e7df4ac2887978c9cfe58e8fc9
Autor:
Wenyi Xiao, Yeong-Gil Kim
Publikováno v:
The East Asian Trade Association. 3:47-54
Publikováno v:
CIKM
PathSim is a widely used meta-path-based similarity in heterogeneous information networks. Numerous applications rely on the computation of PathSim, including similarity search and clustering. Computing PathSim scores on large graphs is computational
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction
Publikováno v:
KDD
An effective content recommendation in modern social media platforms should benefit both creators to bring genuine benefits to them and consumers to help them get really interesting content. In this paper, we propose a model called Social Explorative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c6bf5fb567efa1b945eb519a82378d5
http://arxiv.org/abs/1905.11900
http://arxiv.org/abs/1905.11900
Publikováno v:
Neurocomputing. 173:979-987
Drugs provide help and promise for human health, but they usually come with side effects. Predicting side effects of drugs is a critical issue for the drug discovery. Although several machine-learning methods were proposed to predict the drug side ef