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cs.LG2024
From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretations
Shan Shan
This research presents a three-step causal inference framework that integrates correlation analysis, machine learning-based causality discovery, and LLM-driven interpretations to i…
stat.AP2024
Identification of socioeconomic factors influencing global food price security using machine learning
Shan Shan
Global concern over food prices and security has been exacerbated by the impacts of armed conflicts such as the Russia Ukraine War, pandemic diseases, and climate change. Tradition…