Feature Engineering (original) (raw)

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21 Xinwei Zhang, Yaoci Han, Wei Xu, and Qili Wang. “HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture” [HOBA: a novel feature-engineering methodology for credit-card fraud detection using a deep-learning architecture]. Information Sciences. Vol. 557. 2021. pp. 302–316. https://www.sciencedirect.com/science/article/abs/pii/S002002551930427X. Daniel Gibert, Jordi Planes, Carles Mateu, and Quan Le. “Fusing feature engineering and deep learning: A case study for malware classification” [Fusing feature engineering and deep learning: a case study for malware classification]. Expert Systems with Applications. Vol. 207. 2022. https://www.sciencedirect.com/science/article/pii/S0957417422011927. Ebenezerm Esenogho, Ibomoiye Domor Mienye, Theo Swart, Kehinde Aruleba, and George Obaido. “A Neural Network Ensemble With Feature Engineering for Improved Credit Card Fraud Detection” [A neural-network ensemble with feature engineering for improved credit-card fraud detection]. IEEE Access. Vol. 10. 2020. pp. 16400–16407. https://ieeexplore.ieee.org/abstract/document/9698195.