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ENHANCING FRAUD DETECTION CAPACITIES: THE ROLE OF AUDITOR TRAINING, PROFESSIONAL SKEPTICISM, AND INTEGRITY IN GOVERNMENT INTERNAL CONTROL MECHANISMS IN INDONESIA.
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- Environmental & Social Management Journal / Revista de Gestão Social e Ambiental, 2024, v. 18, n. 8, p. 1, doi. 10.24857/rgsa.v18n8-094
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A general spammer indicator of rating systems uncovering rating preferences and bias.
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- International Journal of Modern Physics C: Computational Physics & Physical Computation, 2024, v. 35, n. 7, p. 1, doi. 10.1142/S0129183124500797
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An intelligent sequential fraud detection model based on deep learning.
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- Journal of Supercomputing, 2024, v. 80, n. 10, p. 14824, doi. 10.1007/s11227-024-06030-y
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Hellinger distance decision trees for PU learning in imbalanced data sets.
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- Machine Learning, 2024, v. 113, n. 7, p. 4547, doi. 10.1007/s10994-023-06323-y
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- Article
Taking the hunch out of the crunch: A framework to improve variable selection in models to detect financial statement fraud.
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- Accounting & Finance, 2024, v. 64, n. 2, p. 1569, doi. 10.1111/acfi.13192
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Cost‐sensitive tree SHAP for explaining cost‐sensitive tree‐based models.
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- Computational Intelligence, 2024, v. 40, n. 3, p. 1, doi. 10.1111/coin.12651
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A COMPREHENSIVE METHODOLOGY FOR EVALUATING ECONOMIC SECURITY IN THE DIGITALIZATION OF INVESTMENT PROCESSES.
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- Environmental & Social Management Journal / Revista de Gestão Social e Ambiental, 2024, v. 18, n. 5, p. 1, doi. 10.24857/rgsa.v18n5-026
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NIR Sensing Technologies for the Detection of Fraud in Nuts and Nut Products: A Review.
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- Foods, 2024, v. 13, n. 11, p. 1612, doi. 10.3390/foods13111612
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Credit Evaluation Model and Its Application in Healthcare Insurance Fraud Detection.
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- International Journal of Computational Intelligence & Applications, 2024, v. 23, n. 2, p. 1, doi. 10.1142/S1469026824500056
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- Article
Cryptocurrency fraud detection through classification techniques.
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- International Journal of Electrical & Computer Engineering (2088-8708), 2024, v. 14, n. 3, p. 2918, doi. 10.11591/ijece.v14i3.pp2918-2926
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Spiking Neural Membrane Systems with Adaptive Synaptic Time Delay.
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- International Journal of Neural Systems, 2024, v. 34, n. 6, p. 1, doi. 10.1142/S012906572450028X
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A semi-supervised Anti-Fraud model based on integrated XGBoost and BiGRU with self-attention network: an application to internet loan fraud detection.
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- Multimedia Tools & Applications, 2024, v. 83, n. 19, p. 56939, doi. 10.1007/s11042-023-17681-z
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- Article
CFTNet: a robust credit card fraud detection model enhanced by counterfactual data augmentation.
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- Neural Computing & Applications, 2024, v. 36, n. 15, p. 8607, doi. 10.1007/s00521-024-09546-9
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- Article
A new electricity theft detection method using hybrid adaptive sampling and pipeline machine learning.
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- Multimedia Tools & Applications, 2024, v. 83, n. 18, p. 54521, doi. 10.1007/s11042-023-17730-7
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- Article
A voting ensemble machine learning based credit card fraud detection using highly imbalance data.
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- Multimedia Tools & Applications, 2024, v. 83, n. 18, p. 54729, doi. 10.1007/s11042-023-17766-9
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- Article
Double-weight LDA extracting keywords for financial fraud detection system.
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- Multimedia Tools & Applications, 2024, v. 83, n. 17, p. 50757, doi. 10.1007/s11042-023-17334-1
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- Article
The Effect of Hexagon Fraud Elements on Village Fund Fraud with Religiosity as a Moderating Variable.
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- KnE Social Sciences, 2024, p. 269, doi. 10.18502/kss.v9i16.16252
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THE INFLUENCE OF COMPETENCY, INDEPENDENCE, PROFESSIONAL SKEPTICISM ON FRAUD DETECTION ON FINANCIAL STATEMENTS IN THE REGIONAL GOVERNMENT OF WEST JAVA PROVINCE.
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- Eduvest: Journal Of Universal Studies, 2024, v. 4, n. 5, p. 4268, doi. 10.59188/eduvest.v4i5.1259
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Federated learning model for credit card fraud detection with data balancing techniques.
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- Neural Computing & Applications, 2024, v. 36, n. 11, p. 6231, doi. 10.1007/s00521-023-09410-2
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- Article
Enhancing Food Integrity through Artificial Intelligence and Machine Learning: A Comprehensive Review.
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- Applied Sciences (2076-3417), 2024, v. 14, n. 8, p. 3421, doi. 10.3390/app14083421
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Fraud Detection of the Electricity Consumption by combining Deep Learning and Statistical Methods.
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- Electrotehnica, Electronica, Automatica, 2024, v. 72, n. 2, p. 54, doi. 10.46904/eea.23.72.2.1108006
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Answer to the Letter to the Editor of MJ Bolland, et al. concerning "Characteristics of baseline frequency data in spinal RCTs do not suggest widespread non-random allocation" by MMS Levayer, et al. (Eur Spine J [2023]32:3009–3014).
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- European Spine Journal, 2024, v. 33, n. 4, p. 1705, doi. 10.1007/s00586-024-08169-x
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Credit Card Fraud Detection Challenges and Solutions: A Review.
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- Iraqi Journal of Science, 2024, v. 65, n. 4, p. 2287, doi. 10.24996/ijs.2024.65.4.42
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Influence of Professional Qualification and Gender on Fraud Detection Skills of Auditors.
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- IUP Journal of Applied Finance, 2024, v. 30, n. 2, p. 75
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Enhancing Financial Fraud Detection Through Chimp-Optimized Long Short-Term Memory Networks.
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- Traitement du Signal, 2024, v. 41, n. 2, p. 835, doi. 10.18280/ts.410224
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Scammer identification using CatBoost in smart contract for enhancing security in blockchain network.
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- Wireless Networks (10220038), 2024, v. 30, n. 3, p. 1165, doi. 10.1007/s11276-023-03552-w
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- Article
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods.
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- Journal of Big Data, 2024, v. 11, n. 1, p. 1, doi. 10.1186/s40537-024-00905-w
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- Article
A Workflow for Meaningful Interpretation of Classification Results from Handheld Ambient Mass Spectrometry Analysis Probes.
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- International Journal of Molecular Sciences, 2024, v. 25, n. 6, p. 3491, doi. 10.3390/ijms25063491
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Synthesizing class labels for highly imbalanced credit card fraud detection data.
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- Journal of Big Data, 2024, v. 11, n. 1, p. 1, doi. 10.1186/s40537-024-00897-7
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A novel method for detecting credit card fraud problems.
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- PLoS ONE, 2024, v. 19, n. 3, p. 1, doi. 10.1371/journal.pone.0294537
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Data Science in Finance: Challenges and Opportunities.
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- AI, 2024, v. 5, n. 1, p. 55, doi. 10.3390/ai5010004
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An intelligent payment card fraud detection system.
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- Annals of Operations Research, 2024, v. 334, n. 1-3, p. 445, doi. 10.1007/s10479-021-04149-2
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Financial Statement Fraud Detection in the Digital Age.
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- CPA Journal, 2024, v. 94, n. 3/4, p. 32
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Development of an electrochemical immunosensor using gold nanoparticles (AuNPs) for the detection of Apolipoprotein AI (ApoAI) in chicken blood plasma.
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- ESTEEM, 2024, v. 20, p. 1, doi. 10.24191/esteem.v20iMarch.595.g471
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Optimizing Credit Card Fraud Detection: Classifier Performance and Feature Selection Empowered by Grasshopper Algorithm.
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- International Journal of Performability Engineering, 2024, v. 20, n. 3, p. 177, doi. 10.23940/ijpe.24.03.p6.177185
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Financial fraud detection: A comparative study of quantum machine learning models.
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- International Journal of Quantum Information, 2024, v. 22, n. 2, p. 1, doi. 10.1142/S0219749923500442
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- Article
Financial Anti-Fraud Based on Dual-Channel Graph Attention Network.
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- Journal of Theoretical & Applied Electronic Commerce Research, 2024, v. 19, n. 1, p. 297, doi. 10.3390/jtaer19010016
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Improving fraud detection via imbalanced graph structure learning.
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- Machine Learning, 2024, v. 113, n. 3, p. 1069, doi. 10.1007/s10994-023-06464-0
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Hyperparameter Optimization with Genetic Algorithms and XGBoost: A Step Forward in Smart Grid Fraud Detection.
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- Sensors (14248220), 2024, v. 24, n. 4, p. 1230, doi. 10.3390/s24041230
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Advanced Fraud Detection in Blockchain Transactions: An Ensemble Learning and Explainable AI Approach.
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- Engineering, Technology & Applied Science Research, 2024, v. 14, n. 1, p. 12822, doi. 10.48084/etasr.6641
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- Article
Financial Fraud Detection: Using semi-supervised learning.
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- Current Science (00113891), 2024, v. 126, n. 2, p. 123, doi. 10.1007/s11042-023-17681-z
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Auditing the Risk of Financial Fraud Using the Red Flags Technique.
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- Applied Sciences (2076-3417), 2024, v. 14, n. 2, p. 757, doi. 10.3390/app14020757
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- Article
Interpretable Single-dimension Outlier Detection (ISOD): An Unsupervised Outlier Detection Method Based on Quantiles and Skewness Coefficients.
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- Applied Sciences (2076-3417), 2024, v. 14, n. 1, p. 136, doi. 10.3390/app14010136
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WEAPONIZATION OF CONSCIENCE IN CYBERCRIME AND ONLINE FRAUD: A NOVEL SYSTEMS THEORY.
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- Buletin Stiintific, 2024, v. 29, n. 1, p. 17, doi. 10.2478/bsaft-2024-0003
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- Article
Detecting Collusive Shill Bidding in Commercial Online Auctions.
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- Computational Economics, 2024, v. 63, n. 1, p. 1, doi. 10.1007/s10614-022-10326-7
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- Article
NLP Sentiment Analysis and Accounting Transparency: A New Era of Financial Record Keeping.
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- Computers (2073-431X), 2024, v. 13, n. 1, p. 5, doi. 10.3390/computers13010005
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Credit Card Fraud Detection Using Improved Deep Learning Models.
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- Computers, Materials & Continua, 2024, v. 78, n. 1, p. 1049, doi. 10.32604/cmc.2023.046051
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- Article
Anti-Fraud Analysis during the COVID-19 Pandemic: A Global Perspective.
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- International Journal of Information Technology & Decision Making, 2024, v. 23, n. 1, p. 37, doi. 10.1142/S0219622023400023
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- Article
تحلیلی بر کاربردهای دادهکاوی در صنعت بیمه براساس شبکة همرخدادی واژگانها و شناسایی معتبرترین مجالت با شاخص استناد به پژوهشهای علمی با استفاده از رویکرد علمسنجی.
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- Iranian Journal of Insurance Research (IJIR), 2024, v. 13, n. 1, p. 71, doi. 10.22056/ijir.2024.01.06
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Enhanced autoencoder-based fraud detection: a novel approach with noise factor encoding and SMOTE.
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- Knowledge & Information Systems, 2024, v. 66, n. 1, p. 635, doi. 10.1007/s10115-023-02016-z
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- Article