Benford’s Law and transparency: an analysis of municipal expenditure by Ricardo Sartori Cella, Ercilio Zanolla

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Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities by Farida Sabry, Wadha Labda, Aiman Erbad, Qutaibah Malluhi

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Artificial intelligence application in auditing by Serhii Ivakhnenkov

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Data reduction techniques for highly imbalanced medicare Big Data by John T. Hancock, Huanjing Wang, Taghi M. Khoshgoftaar, Qianxin Liang

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National Payment Switches and the Power of Cognitive Computing against Fintech Fraud by Alessio Faccia

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Auditing the Risk of Financial Fraud Using the Red Flags Technique by Victor Munteanu, Marilena-Roxana Zuca, Adriana Horaicu, Laura-Andreea Florea, Cristina-Elena Poenaru, Gabriela Anghel

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Threshold optimization and random undersampling for imbalanced credit card data by Joffrey L. Leevy, Justin M. Johnson, John Hancock, Taghi M. Khoshgoftaar

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Fraud detection through data sharing using privacy‐preserving record linkage, digital signature (EdDSA), and the MinHash technique: Detect fraud using privacy preserving record links by Satish Thomas, James Sluss

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Secure Internet Financial Transactions: A Framework Integrating Multi-Factor Authentication and Machine Learning by AlsharifHasan Mohamad Aburbeian, Manuel Fernández-Veiga

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Detection of Frozen–Thawed Duck Fatty Liver by MALDI-TOF Mass Spectrometry: A Chemometrics Study by Laurent Aubry, Thierry Sayd, Claude Ferreira, Christophe Chambon, Annie Vénien, Sylvie Blinet, Marie Bourin, Angélique Travel, Maeva Halgrain, Véronique Santé-Lhoutellier, Laetitia Théron

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A Closer Look Into the Characteristics of Fraudulent Card Transactions by Baris Can, Ali Gokhan Yavuz, Elif M. Karsligil, M. Amac Guvensan

Subjects: “…Fraud detection…”
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A framework for detecting credit card fraud with cost-sensitive meta-learning ensemble approach by Toluwase Ayobami Olowookere, Olumide Sunday Adewale

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Detecting Group Anomalies in Tera-Scale Multi-Aspect Data via Dense-Subtensor Mining by Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos

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Penerapan Deep Learning dalam Deteksi Penipuan Transaksi Keuangan Secara Elektronik by Faried Zamachsari, Niken Puspitasari

Subjects: “…fraud detection, deep learning, deep neural network, machine learning, machine learning with ensemble.…”
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Cooperation Mechanism Design for Integrated Electricity-Heat Systems with Information Asymmetry by Jizhong Zhu, Haohao Zhu, Weiye Zheng, Shenglin Li, Junwei Fan

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Sequence Embeddings Help Detect Insurance Fraud by Ivan Fursov, Elizaveta Kovtun, Rodrigo Rivera-Castro, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeny Burnaev

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GraphSIF: analyzing flow of payments in a Business-to-Business network to detect supplier impersonation by Rémi Canillas, Omar Hasan, Laurent Sarrat, Lionel Brunie

Subjects: “…Fraud detection…”
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Hybrid Undersampling and Oversampling for Handling Imbalanced Credit Card Data by Maram Alamri, Mourad Ykhlef

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Machine-Learning-Based Scoring System for Antifraud CISIRTs in Banking Environment by Michal Srokosz, Andrzej Bobyk, Bogdan Ksiezopolski, Michal Wydra

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Robust Financial Fraud Alerting System Based in the Cloud Environment by Branka Stojanović, Josip Božić

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