2 papers
cs.LG2026
From Model Explanation to Data Misinterpretation: A Cautionary Analysis of Post Hoc Explainers in Business Research
Tong Wang, Ronilo Ragodos, Lu Feng +2
Post hoc explainers such as SHAP and LIME are used widely in business research to interpret complex machine learning models. Although they were designed to explain model prediction…
cs.LG2024
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping
Bang An, Xun Zhou, Zirui Zhou +3
The problem of forecasting spatiotemporal events such as crimes and accidents is crucial to public safety and city management. Besides accuracy, interpretability is also a key requ…