Liang Guo

Subsampling Bias and The Best-Discrepancy Systematic Cross Validation

2019 · arXiv (Cornell University)

Statistical machine learning models should be evaluated and validated before putting to work. Conventional k-fold Monte Carlo Cross-Validation (MCCV) procedure uses a pseudo-random sequence to partition instances into k subsets, which usually causes subsampling bias, …

Token-guided multimodal prognosis in hepatocellular carcinoma: a framework steered by tumour–stroma ratio

2026 · Gut

BACKGROUND: The tumour-stroma ratio (TSR) is a potential prognostic indicator, yet hindered by quantification challenges and conflicting reports. OBJECTIVE: To determine whether TSR follows a non-linear prognostic pattern and to develop an artificial intelligence (AI)-powered …