From the 1 of 4 linked papers with an AI index.
4 papers
Class Weighting versus Amount Conditioning in Credit-Card Fraud Detection: A Dollar-Metric Study with a Temporal Explanation Audit
Chenyu Wu
The paper studies whether incorporating transaction amounts as sample weights or as an alert‑ordering factor improves credit‑card fraud detection, comparing class weighting and amo…
Interpretable vs Learned Encoders for High-Cardinality Fraud Detection
Xiao Han, Jingjing Liu, Moxuan Zheng +2
A total of seven categorical encoding methods were tested on the IEEE-CIS fraud benchmark dataset (590,540 records, 3.5% positives, 8 high-cardinality columns). The encoders were e…
How Early Is Early Enough? Design-Dependent Observation-Window Sufficiency in Subscription Churn Prediction
Xiao Han, Yao Xiao, Chenyu Wu +1
How many days of early behavior suffice for subscription churn prediction? In the public KKBox dataset, the early indicator of churn is typically an indicator of someone's contract…
Validation-Stage Combinatorial Fusion Analysis for Imbalanced Credit-Card Fraud Detection
Xiao Han, Chenyu Wu
Credit-card fraud detection is difficult because fraudulent transactions are rare, costly, and unevenly distributed. Strong gradient-boosted tree models already perform well on str…