AIMC Topic: Fraud

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Machine learning and the future of Medicare fraud detection.

Journal of the American Academy of Dermatology Mar 29, 2020
Medicare Data Mining United States Administrative Claims, Healthcare Fraud Datasets as Topic Clinical Coding Machine Learning Financial Audit
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Using Harmony Search Algorithm in Neural Networks to Improve Fraud Detection in Banking System.

Computational intelligence and neuroscience Feb 8, 2020
Financial fraud is among the main problems undermining the confidence of customers in addition to incurring economic losses to banks and financial institutions. In recent years, along with the proliferation of fraud, financial institutions began look...
Neural Networks, Computer Banking, Personal Fraud
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Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions.

Science and engineering ethics Feb 14, 2019
Artificial intelligence (AI) research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI t...
Fraud Sex Offenses Interdisciplinary Research Drug Trafficking Commerce Crime Liability, Legal Forecasting Social Media Humans Artificial Intelligence
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Generative adversarial network based telecom fraud detection at the receiving bank.

Neural networks : the official journal of the International Neural Network Society Mar 5, 2018
Recently telecom fraud has become a serious problem especially in developing countries such as China. At present, it can be very difficult to coordinate different agencies to prevent fraud completely. In this paper we study how to detect large transf...
Computer Communication Networks Fraud Humans Machine Learning
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GDFGAT: Graph attention network based on feature difference weight assignment for telecom fraud detection.

PloS one Jan 1, 2025
In recent years, the number of telecom frauds has increased significantly, causing substantial losses to people's daily lives. With technological advancements, telecom fraud methods have also become more sophisticated, making fraudsters harder to det...
Humans Telecommunications Fraud Neural Networks, Computer Algorithms
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Innovative novel regularized memory graph attention capsule network for financial fraud detection.

PloS one Jan 1, 2025
Financial fraud detection (FFD) is crucial for ensuring the safety and efficiency of financial transactions. This article presents the Regularised Memory Graph Attention Capsule Network (RMGACNet), an original architecture aiming at improving fraud d...
Fraud Humans Neural Networks, Computer Algorithms
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Artificial Intelligence Solutions to Detect Fraud in Healthcare Settings: A Scoping Review.

Studies in health technology and informatics Jun 29, 2022
Over the past decade, Artificial Intelligence (AI) technologies have quickly become implemented in protecting data, including detecting fraud in healthcare organizations. This scoping review aims to explore AI solutions utilized in fraud detection oc...
Health Facilities PubMed Artificial Intelligence Fraud Delivery of Health Care
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Adversarial attacks on medical machine learning.

Science (New York, N.Y.) Mar 22, 2019
Fraud Insurance Claim Review Humans Machine Learning
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Putting Misinformation Under a Microscope: Exploring Technologies to Address Predatory False Information Online.

Medical reference services quarterly Jan 1, 2019
The dissemination of misinformation in health care and the sciences has become a growing concern over the last five years. Whether the false information is spread with malice or merely ignorance, researchers, providers, librarians, regulatory bodies,...
Fraud Scientific Misconduct Inventions Humans Artificial Intelligence Internet Information Dissemination
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Astronomers explore uses for AI-generated images.

Nature Feb 1, 2017
Computer Graphics Astronomy Fraud Neural Networks, Computer Software Photography
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