AdaBoost-LSTM: A Hybrid Ensemble Framework for Sequential Credit Card Fraud Detection

Credit card fraud detection is a critical task in financial systems, requiring effective algorithms to accurately classify transactions as fraudulent or non-fraudulent. This paper proposes a novel approach, combining the AdaBoost algorithm with Long Short-Term Memory (LSTM) networks, called the AdaB...

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Autore principale:	Hamza H. Sulimani
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2025-01-01
Serie:	IEEE Access
Soggetti:	Credit card fraud detection AdaBoost long short-term memory (LSTM) sequential learning transfer learning
Accesso online:	https://ieeexplore.ieee.org/document/11289493/
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