Latest Research in Imbalanced Data Classification Techniques

Top Research Topics in Imbalanced Data Classification Techniques

• Imbalanced Data Classification Techniques — 22 papers
• Machine Learning — 9 papers
• Advanced Graph Neural Networks — 4 papers
• Cryptography and Security — 4 papers
• Cybercrime and Law Enforcement Studies — 1 papers
• Auditing, Earnings Management, Governance — 1 papers
• General Finance — 1 papers
• Applications — 1 papers
• Computational Engineering, Finance, and Science — 1 papers
• Computation and Language — 1 papers

Highest-Cited Papers

1. A Review on Detection of Advance Fee Fraud Using Natural Language Processing
2. Cross-domain graph fraud detection under extreme imbalance: a two-stage transfer framework
3. FraudDebate-Agent: A Multi-Agent LLM Framework with an Evidence-Based Debate Mechanism for Financial Statement Fraud Detection
4. Traceable LLM Reasoning for Fake-Order Fraud Detection
5. A Practitioner's Framework for Automated Fraud Detection in Cloud Credit Systems: A Case Study
6. Shadow Banking Detection with Graph Neural Networks: Mapping Unofficial Lending Networks
7. Shadow Banking Detection with Graph Neural Networks: Mapping Unofficial Lending Networks
8. A Practitioner's Framework for Automated Fraud Detection in Cloud Credit Systems: A Case Study
9. Benchmarking Generalization in Financial Statement Fraud Detection: robust evaluation and novel tasks
10. Prediction of bank transaction fraud using TabNet an adaptive deep learning architecture
11. Toward Auditable Fraud Detection: Combining Graph Features, Model Explanations, and Agentic Case Investigation
12. Dilated convolutional max pooled locality attention-based Trans network for Unified Payments Interface Fraud Detection
13. A Fair, Leakage-Controlled Comparison of Machine Learning and Deep Learning for Credit-Card Fraud Detection
14. A Fair, Leakage-Controlled Comparison of Machine Learning and Deep Learning for Credit-Card Fraud Detection
15. AI in Customs Fraud Detection: Benchmarking Neural Approaches to Invoice Manipulation
16. AI in Customs Fraud Detection: Benchmarking Neural Approaches to Invoice Manipulation
17. AI in Customs Fraud Detection: Benchmarking Neural Approaches to Invoice Manipulation
18. Enhanced fraud detection in credit card transactions using a Bayesian Gaussian mixture model approach
19. AI in Customs Fraud Detection: Benchmarking Neural Approaches to Invoice Manipulation
20. Outsmarting Synthetic Identities: A Robust Learning Pipeline for Financial Fraud Detection