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20202025
most citedGood Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)

2 citations · 2 across the 3 of their papers we have counts for

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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…