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cs.AI2025
Augmenting The Weather: A Hybrid Counterfactual-SMOTE Algorithm for Improving Crop Growth Prediction When Climate Changes
Mohammed Temraz, Mark T Keane
In recent years, humanity has begun to experience the catastrophic effects of climate change as economic sectors (such as agriculture) struggle with unpredictable and extreme weath…
cs.AI2025
Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions
Courtney Ford, Mark T. Keane
Explainable AI (XAI) methods often struggle to generate clear, interpretable outputs for users without domain expertise. We introduce Feature-Guided Neighbor Selection (FGNS), a po…