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Author

Jyh-Shing Roger Jang

2 papers indexed here

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Open access 2026

Dynamic-Flooding Transformer Ensembles for Reinforcement-Learning-Based Equity Market Timing

Accurate directional forecasting of equity time series is challenging due to small-sample bottlenecks, regime-dependent non-stationarity, and dominant idiosyncratic noise. This paper presents a coordinated quantitative framework addressing these difficulties. First, causal Transformer classifiers operate over 78 featur...

Tung-Liang Chen, Jyh-Shing Roger Jang · 0 citations
Open access Jul 2026

An explainable real-time artificial intelligence -assisted system to reduce intradialytic hypotension.

BACKGROUND Intradialytic hypotension (IDH) is a frequent complication in hemodialysis and is associated with adverse cardiovascular and neurological outcomes. Existing AI prediction models often lack real-world applicability, highlighting the need for clinically relevant, interpretable, and integrated AI systems to sup...

Cheng-Yen Lee, Yi-Ting Chen, Chung-Che Wang et al. · 0 citations

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