3 papers
cs.LG2026
AttnBoost: Retail Supply Chain Sales Insights via Gradient Boosting Perspective
Yadi Liu, Xiaoli Ma, Muxin Ge +6
Forecasting product demand in retail supply chains presents a complex challenge due to noisy, heterogeneous features and rapidly shifting consumer behavior. While traditional gradi…
cs.CE2025
Modeling Insider Filing Delays in Financial Markets with an Interpretable XGBoost Framework
Cheng Huang, Yao Ma, Fan Gao +10
Timely disclosure of insider transactions is a cornerstone of market transparency, yet delays in filing remain widespread and challenging to monitor at scale. This study introduces…
cs.CE2025
SPH-Net: A Co-Attention Hybrid Model for Accurate Stock Price Prediction
Yiyang Wu, Hanyu Ma, Muxin Ge +5
Prediction of stock price movements presents a formidable challenge in financial analytics due to the inherent volatility, non-stationarity, and nonlinear characteristics of market…