Related references
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IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
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IET COMMUNICATIONS
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
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(2021)
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Emmanuel Ileberi et al.
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Summary: This paper introduces a novel credit card fraud detection system model based on sequential modeling and deep neural networks, which not only considers the sequential nature of transaction data but also identifies important transactions to improve accuracy. Experimental results show that the model is highly efficient and effective.
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Proceedings Paper
Engineering, Multidisciplinary
E. M. S. W. Balagolla et al.
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2021 6TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT)
(2021)
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IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Review
Computer Science, Information Systems
Fernando G. D. C. Ferreira et al.
Summary: The application of Artificial Intelligence in financial investment has attracted extensive research attention since the 1990s, and the literature is increasingly becoming more specific and thorough. The reviewed papers on AI in investments in the stock market were categorized into four main areas, showing a development path from initial research to state-of-the-art applications over time.
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Computer Science, Information Systems
Weiwei Fang et al.
Summary: This paper explores the potential of applying deep neural networks for fraud detection in Internet finance, demonstrating through experiments the superiority of deep neural networks over traditional models, potentially bringing new opportunities for application in Internet loans.
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