Applying supervised machine learning algorithms and ensemble models to enhance credit card fraud detection. [PDF]
Al-Bulushi A, Shaikh AK, Adhikari N.
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The psychological toll of financial volatility: compulsive habits, gambling parallels, and social policy implications. [PDF]
Dote-Pardo J +2 more
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Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection. [PDF]
Awad SS +3 more
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Uncertainty-aware spatio-temporal contrastive graph neural networks for cyber financial fraud detection and risk management. [PDF]
Shi Y, Tang M.
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An IBGWO optimized feature selection framework for sentiment analysis-based fraudulent website detection using MLRNN. [PDF]
Perumal S, Vishwanathan AJ.
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AI-driven financial risk management in complex mobile economies: a contextual-technology fit and security reassurance model. [PDF]
Jiang Z, Jiang X.
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Real-time dynamic graph learning with temporal attention for financial fraud detection. [PDF]
Chen J, Yang Y.
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A feasibility study on integrating Generative AI and video conferencing into Indonesian recruitment processes. [PDF]
Ramaditya M +3 more
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DKFraudNet: a knowledge-guided adversarial learning framework for fraud user detection. [PDF]
Shen Y, Shi R, Song K, Li Y.
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Explainable artificial intelligence models using SHAP enhanced CatBoost, Bi-GRU with attention, and Tab Transformer. [PDF]
Ebinezer MJD, Krishna BC.
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