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Explainable Artificial Intelligence for Anomaly Detection in Banking Transactions: An Internal Audit Perspective

A new explainable AI framework is proposed to assist banking internal audit teams in detecting and justifying anomalous transaction patterns.

Impact
20/100
Current rank score
1.67
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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