Application of Artificial Intelligence for Fraudulent Banking Operations Recognition
Leveraging neural networks and stacked generalization to fortify digital banking security systems.
This study considers the task of applying artificial intelligence to recognize bank fraud. In recent years, due to the COVID19 pandemic, bank fraud has become even more common due to the massive transition of many operations to online platforms and the creation of many charitable...
ArXiv CS.LG
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The rise of digital-first banking necessitates advanced machine learning models to combat the increasing sophistication of global financial fraud. Leveraging techniques like stacked generalization and neural networks allows institutions to drastically improve detection rates for complex, high-volume transaction data.
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