Application of generative adversarial networks for financial data by CUI Yihao, LIU Sen, YE Guangnan

“…The application practice of the GAN model in generating financial tabular data, generating financial time series, and financial fraud detection, as well as other financial data fields, was explored. …”
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BidCorpus: A multifaceted learning dataset for public procurementHugging Face by Weslley Lima, Victor Silva, Jasson Silva, Ricardo Lira, Anselmo Paiva

“…The models could also tolerate intentional changes made to bidding notices to evade fraud detection. All the resources from this work are publicly available, including the documents, pre-processing scripts, and training and evaluation of the models. …”
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Heterogeneous Network-Based Chronic Disease Progression Mining by Chenfei Sun, Qingzhong Li, Lizhen Cui, Hui Li, Yuliang Shi

“…They also do not take into account the different medication stages of the same chronic disease, which is of great help when conducting healthcare insurance fraud detection and reducing healthcare costs. In this paper, we propose a heterogeneous network-based chronic disease progression mining method to improve the current understanding on the progression of chronic diseases, including orphan diseases. …”
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DIGITAL TRANSFORMATION AND THE USE OF ARTIFICIAL INTELLIGENCE IN SOCIAL INSURANCE AND INSURANCE by Elizaveta Pletneva, Daria Zagorska

“…The advantages of digitization and the use of AI include improved accuracy of risk assessment, process automation, product personalization, fraud detection, and enhanced investment decision-making. …”
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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…AD is crucial for various applications, including network security, fraud detection, predictive maintenance, fault diagnosis, and industrial and healthcare monitoring. …”
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A Comprehensive Review of AI’s Current Impact and Future Prospects in Cybersecurity by Abdullah Al Siam, Moutaz Alazab, Albara Awajan, Nuruzzaman Faruqui

“…This study offers a comprehensive literature review on the role, effect, and future prospects of AI across five critical areas of cybersecurity: threat detection, endpoint security, phishing and fraud detection, network security, and adaptive authentication. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Well-researched fields include credit rating, fraud detection, bankruptcy prediction, and volatility forecasting. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Well-researched fields include credit rating, fraud detection, bankruptcy prediction, and volatility forecasting. …”
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Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions by R. Vijay Anand, G. Magesh, I. Alagiri, Madala Guru Brahmam, Balamurugan Balusamy, Chithirai Pon Selvan, Haya Mesfer Alshahrani, Masresha Getahun, Ben Othman Soufiene

“…It includes some such issues as follows: data privacy, centralized vulnerability, inefficiency in fraud detection and much more. To that effect, and to address such limitations, this paper provides a blockchain technology framework that is driven by advanced machine learning techniques, which will enhance security and transparency throughout the network of transactions. …”
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Designing the strategic model of online banking relational marketing in the fourth industrial revolution with the foundation's data approach. by Aliasghar Atarodi, arezo ahmadi danyali, nader gharib nawaz

“…Mohammadi fateh et al, (2022) showed that the technologies of the fourth industrial revolution are big data, biological identification system, fraud detection technologies, contactless ATM, data mining, cloud computing, marketing, versatile channel, artificial intelligence, fintech, biometrics, blockchain, intelligent social networks, artificial neural networks, remote monitoring technologies, commercial Internet of Things, and digital account, respectively. …”
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Paying for crime: frauds in DPVAT insurance and their impacts on society by Beatriz Peres Lopes, João Vinícius França Carvalho

“…Using the Actuarial Credibility Theory, and a official database, the discrepancy between the DPVAT claims ratio and the claims ratios of other private automobile insurance lines of business, proxies for the ideal premium formation for having better system of frauds detection and prevention. The results indicate significant differences among the values. …”
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