930 citations · 1.6k across the 17 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2019★ 75 cited
Counterfactual Explanation Algorithms for Behavioral and Textual Data
Yanou Ramon, David Martens, Foster Provost +1
We study the interpretability of predictive systems that use high-dimensonal behavioral and textual data. Examples include predicting product interest based on online browsing data…
cs.AI2011★ 930 cited
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
F. Provost, G. M. Weiss
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the trai…