Search Results for author: Ai-Te Kuo

Found 2 papers, 0 papers with code

Dynamic Graph Representation Learning for Depression Screening with Transformer

no code implementations10 May 2023 Ai-Te Kuo, Haiquan Chen, Yu-Hsuan Kuo, Wei-Shinn Ku

Early detection of mental disorder is crucial as it enables prompt intervention and treatment, which can greatly improve outcomes for individuals suffering from debilitating mental affliction.

Contrastive Learning Depression Detection +2

CoronaViz: Visualizing Multilayer Spatiotemporal COVID-19 Data with Animated Geocircles

no code implementations10 Nov 2022 Brian Ondov, Harsh B. Patel, Ai-Te Kuo, Hanan Samet, John Kastner, Yunheng Han, Hong Wei, Niklas Elmqvist

While participants preferred using the latter two dashboards to perform queries with only a geospatial component or only a temporal component, participants uniformly preferred CoronaViz for queries with both spatial and temporal components, highlighting the utility of a unified spatiotemporal encoding.

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