2 papers
stat.ML2025
Interpretable Model-Aware Counterfactual Explanations for Random Forest
Joshua S. Harvey, Guanchao Feng, Sai Anusha Meesala +2
Despite their enormous predictive power, machine learning models are often unsuitable for applications in regulated industries such as finance, due to their limited capacity to pro…
cs.LG2024
Open Set Recognition for Random Forest
Guanchao Feng, Dhruv Desai, Stefano Pasquali +1
In many real-world classification or recognition tasks, it is often difficult to collect training examples that exhaust all possible classes due to, for example, incomplete knowled…